Local gpt for coding reddit. to generate Python textbooks.

Local gpt for coding reddit I use it in my research team in college. LocalGPT is a subreddit dedicated to discussing the use of GPT-like models on consumer-grade hardware. You can give it a shot upvotes · comments History is on the side of local LLMs in the long run, because there is a trend towards increased performance, decreased resource requirements, and increasing hardware capability at the local level. Here's a list of my previous model tests and comparisons or other related posts: Hi. Claude opus can push out 300-400 lines of code with ease and nails coding challenges on the first try. GPT-4: While GPT-4 is undoubtedly superior, there might still be value in ensuring backward compatibility, especially for environments that haven't transitioned. First we developed a skeleton like GPT-4 provided (though less palceholder-y, it seems GPT-4 has been doing that more lately with coding), then I targeted specific parts like refining the mesh, specifying the neumann/dirichlet boundary conditions, etc. In essence I'm trying to take information from various sources and make the AI work with the concepts and techniques that are described, let's say in a book (is this even possible). for the most part its not really worth it. This evaluation set contains 1,800 prompts that cover 12 key use cases: asking for advice, brainstorming, classification, closed question answering, coding, creative writing, extraction, inhabiting a character/persona, open question answering, reasoning, rewriting, and summarization. Other image generation wins out in other ways but for a lot of stuff, generating what I actually asked for and not a rough approximation of what I asked for based on a word cloud of the prompt matters way more than e. It’s all those damned prepromots like dallee and web browsing and the code sandbox. I can only think of maybe three or four times where it truly helped me solve a difficult problem. I made a command line GPT-4 chat loop that can directly read and write code on your local filesystem Project I was fed up with pasting code into ChatGPT and copying it back out, so I made this interactive chat tool which can read and write your code files directly Personally, I already use my local LLMs professionally for various use cases and only fall back to GPT-4 for tasks where utmost precision is required, like coding/scripting. 5. It's also free to use if you don't have a lot you need to do. Also offers an OAI endpoint as a server. Even the memory feature finally remembering to give me full code instead of snippets is working properly now. P. py” No, 4o is offered for free so that people will use it instead of the upcoming GPT-5 which was hinted at during the live stream, furthermore GPT-4o has higher usage cap since the model contains text generation, vision, and audio processing in the same model as opposed to GPT-4 Turbo which had to juggle modalities amongst different models and then provide one single response hence why response Yeah that second image comes from a conversation with gpt-3. For this task, GPT does a pretty task, overall. I would love it if someone would write an article about their experience training a local model on a specific development stack and application source code, along with some benchmarks. 26 votes, 17 comments. I assume this is for a similar reason, people who get into functional programming are well beyond their beginner phase. Due to bad code management, each developer tends to code with their own style and doesn't really follow any consistent coding convention. I have wondered about mixing local LLMs to fill out the code from GPT-4's output, since they seem rather good and so free to use to avoid the output that is just repetition / simple code vs. Thanks! We have a public discord server. As I see it, GPT offers a declarative approach to web scraping, allowing us to describe what we want to scrape in natural language and generate the code to do it. I am keen for any good cpt4 coding solutions. However, you should be ready to spend upwards of $1-2,000 on GPUs if you want a good experience. S. Now that more newbie devs are joining into our project, things are gonna get even worse. Simply by pasting in code and asking to explain or improve parts of it gives me some pretty good results. The results were good enough that since then I've been using ChatGPT, GPT-4, and the excellent Llama 2 70B finetune Xwin-LM-70B-V0. GPT-4 Omni outperforms on costs too 💸: Operating costs for GPT-4 Omni are half that of GPT-4 Turbo and just a quarter of Claude3 Opus, demonstrating outstanding performance alongside significant cost savings. requiring a lot of business context, know multiple files, db schema, etc). Can we combine these to have local, gpt-4 level coding LLMs? Also if this will be possible in the near future, can we use this method to generate gpt-4 quality synthetic data to train even better new coding models. The new GPT-4 Turbo is intended to reduce laziness. R2R combines with SentenceTransformers and ollama or Llama. Some of the popular platforms that offer access to GPT-3 include OpenAI's API, Hugging Face's API, and EleutherAI's GPT-Neo. Nov 6, 2023 · I've seen some people using AI tools like GPT-3/4 to generate code recently. 5 58 votes, 15 comments. And it is free. 5? More importantly, can you provide a currently accurate guide on how to install it? I've tried two other times but neither worked. I wish we had other options but we're just not there yet. I’ve just been making my own personal gpts with those checkboxes turned off but yesterday I noticed even that wasn’t working right (not following instructions) and my local libre chat using the API was following instructions correctly. write me code in c# console for connect 4 With Local Code Interpreter, you're in full control. I think ChatGPT (GPT-4) is pretty good for daily coding, also heard Claude 3 is even better but I haven't tried extensively. Wow, all the answers here are good answers (yep, those are vector databases), but there's no context or reasoning besides u/electric_hotdog2k's suggestion of Marqo. I am looking for the best model in GPT4All for Apple M1 Pro Chip and 16 GB RAM. This is using Bing CoPilot Enterprise via Edge browser. Reply reply More replies More replies 1n5aN1aC. The best ones for me so far are: deepseek-coder, oobabooga_CodeBooga and phind-codellama (the biggest you can run). if it is possible to get a local model that has comparable reasoning level to that of gpt-4 even if the domain it has knowledge of is much smaller, i would like to know if we are talking about gpt 3. Furthermore, DeepSeek-Coder models are under a permissive license that allows for both research and I've been personally using opensource LLM's for good amount of time (coding, instruction, storytelling, daily convos etc. It seems like it could be useful to quickly produce code and boost productivity. Enhanced Data Security: Keep your data more secure by running code locally, minimizing data transfer over GPT 4 is currently unbeaten when it comes to code generation, this is objectively proven by various benchmarks such as HumanEval. " But sure, regular gpt4 can do other coding. GPT is really good at explaining code, I completely agree with you here, I'm just saying that, at a certain scope, granular understanding of individual lines of code, functions, etc. Dall-E 3 is still absolutely unmatched for prompt adherence. Since you mentioned web design, you can probably also pass images to Claude for it to get even more context. To name a few: SEO and info product development, some coding tasks, sales copy, personal assistant tasks Example - need to pitch SEO services in unfamiliar industry > ask Claude to help brainstorm value props > get feedback on my pitch emails > send 5-10 pitches > have Claude evaluate which are the best opportunities (by pasting in the replies I got) > plug them into my client portal/CRM and I would suggest creating an embedding of your entire repo using the OpenAI api, storing it in a vector db like pinecone, and then each time you want to ask it a specific question about your repo, you can take the embedding of your question, ask the database for the relevant chunks most related to your question, and feed those chunks into the context of a gpt api completion along with your GPT-4 has 1. env file. GPT-4 is an amazing product, but it is not the best model in the same sense that the ThrustSSC is not the best car. However, I can never get my stories to turn on my readers. the width and height of the screen are set. GPT 3. This is what my current workflow looks like: This model is at the GPT-4 league, and the fact that we can download and run it on our own servers gives me hope about the future of Open-Source/Weight models. You might look into mixtral too as it's generally great at everything, including coding, but I'm not done with evaluating it yet for my domains. I also have local copies of some purported gpt-4 code competitors, they are far from being close to having any chance at what gpt4 can do beyond some preset benchmarks that have zero to do with real world coding. I just created a U. 5B to GPT-3 175B we are still essentially scaling up the same technology. Seconding this. to generate Python textbooks. You need to be able to break down the ideas you have into smaller chunks and these chunks into even smaller chunks, and those chunks you turn into Special with the local gpt model, also i have still to do some fine tuning at the GPT config. Qwen2 came out recently but it's still not as good. I've had some luck using ollama but context length remains an issue with local models. 5 is an extremely useful LLM especially for use cases like personalized AI and casual conversations. If you need help coding any of that, use Deep Seek Coder LLM to help you. I'm working on a product that includes romance stories. the quality of the output is a decent substitute for chatGPT4 but not as good. This subreddit is dedicated to discussing the use of GPT-like models (GPT 3, LLaMA, PaLM) on consumer-grade hardware. Hello, I've been working on a big project which involves many developers through the years. upvotes · comments r/LocalLLaMA "Try a version of ChatGPT that knows how to write and execute Python code, and can work with file uploads. The original Private GPT project proposed the Local GPT (completely offline and no OpenAI!) Resources For those of you who are into downloading and playing with hugging face models and the like, check out my project that allows you to chat with PDFs, or use the normal chatbot style conversation with the llm of your choice (ggml/llama-cpp compatible) completely offline! Highlighted critical resources: Gemini 1. 5 when the load gets too high. While I've become increasingly dependent in my workflow on GPT-4 for code stuff, there were times where the GPT-4 was down or inaccessible. My code, questions, queries, etc are not being stored on a commercial server to be looked over, baked into future training data, etc. Mar 6, 2024 · OpenAI-compatible API, queue, & scaling. I now use Deepseek on a daily basis and it produces acceptable and usable results as a code assistant: the 6. I'm trying to setup a local AI that interacts with sensitive information from PDF's for my local business in the education space. However, with a powerful GPU that has lots of VRAM (think, RTX3080 or better) you can run one of the local LLMs such as llama. 5, Tori (GPT-4 preview unlimited), ChatGPT-4, Claude 3, and other AI and local tools like Comfy UI, Otter. I put a lot of effort into prompt engineering. One year ago, I had no idea that my coding workflow would look like this: simply chatting with GPT and receiving a productivity boost of 10-50 times my average developer skills, depending on what we are coding. Note: files will not persist beyond a single session. 5 turbo is already being beaten by models more than half its size. 1 testing framework is out -- now with full constexpr testing Implementation with GPT-4o: After planning, switch to GPT-4o to develop the code. 5 Pro and GPT-4o support (Opus is already supported but it's pretty expensive). My goal is to have it eventually be able to run scripts locally and interact with something like pyautogui(or even just bash) and Selenium or similiar. 2-year subscription can get you a decent enough video card to run something like codestral q4 at a decent speed. So it's fine tuned to work with a single language and after that it beat GPT-3. However, I also worry that directly copying and pasting AI-generated code without properly reviewing it could lead to incorrect, inefficient, or insecure code. : Help us by reporting comments that violate these rules. 5 back in April. I have an RX 6600 and an GTX 1650 Super so I don't think local models are a possible choise (at least for the same style of coding that is done with GPT-4). 5 and GPT-4. Write clean NextJS code. Instructions: Youtube Tutorial. Try it. This approach offers significant advantages over traditional, explicit parse-based methods, making web scraping more robust and reducing the likelihood of errors. Received message. Sure, what I did was to get the local GPT repo on my hard drive then I uploaded all the files to a new google Colab session, then I used the notebook in Colab to enter in the shell commands like “!pip install -r reauirements. Predictions : Discussed the future of open-source AI, potential for non-biased training sets, and AI surpassing government compute capabilities. 1 daily at work. 9% on the humaneval coding test vs the 67% score of GPT-4. I want to run something like ChatGpt on my local machine. Sure you can type 'a cat walks across the street', but that's boring. If I'm asking a coding question, provide the code then provide bullet pointed explanations of key elements, being concise and showing no personality. Available for free at home-assistant. It is heavily and exclusively finetuned on python programming. I have *zero* concrete experience with vector databases, but I care about this topic a lot, and this is what I've gathered so far: Point is GPT 3. With GPT-2 1. All ChatGPT Plus customers were forced into GPT-4 Turbo which is not as good as the original GPT-4. 5 Availability: While official Code Interpreter is only available for GPT-4 model, the Local Code Interpreter offers the flexibility to switch between both GPT-3. You can use GPT Pilot with local llms, just substitute the openai endpoint with your local inference server endpoint in the . Ollama + Crew. ) but never used them commercially. But if you use the API you can still use GPT-4 and GPT-4 32k. Also not sure how easy it is to add a coding model because there are a few ways to approach it. At this Point, open ai's chat gpt API is much easier to handle and better out of the box usable. Took me a few shots in GPT-4 to get something I really like, and now I just pull this into my local LLM when I am ready. I'm a long time developer (15 years) and I've been fairly disappointed in chatgpt, copilot and other open source models for coding. For a long time I was using CodeFuse-CodeLlama, and honestly it does a fantastic job at summarizing code and whatnot at 100k context, but recently I really started to put the various CodeLlama finetunes to work, and Phind is really coming out on top. Night and day difference. The few times I tried to get local LLMs to generate code failed, but even ChatGPT is far from perfect, so I hope future finetunes will bring much needed improvements. I have tested it with GPT-3. but even if GPT is down The output is really good at this point with azazeal's voodoo SDXL model. They are touting multimodality, better multilingualism, and speed. It's like Alpaca, but better. Using them side by side, I see advantages to GPT-4 (the best when you need code generated) and Xwin (great when you need short, to-the-point answers). It is still missing some small things that I have to repeat to get the new code for but overall, it is definitely an improvement from 4. Yet, I agree that forward-thinking is essential and we might soon see even more advanced versions rendering the older ones obsolete. its probably good enough for code completion but it can even write entire components. Got Lllama2-70b and Codellama running locally on my Mac, and yes, I actually think that Codellama is as good as, or better than, (standard) GPT. In my case, 16K is nowhere near enough for some refactors I want to do, or when wanting to familiarize myself with larger code bases. I've seen a big uptick in users in r/LocalLLaMA asking about local RAG deployments, so we recently put in the work to make it so that R2R can be deployed locally with ease. photorealism. I'm looking for a model that can help me bridge this gap and can be used commercially (Llama2). isn't enough. :D It outperforms predecessors like GPT-4 Turbo and competitors like Claude3-Opus, handling complex queries with better precision. Sep 21, 2023 · LocalGPT is an open-source project inspired by privateGPT that enables running large language models locally on a user’s device for private use. 5 but pretty fun to explore nonetheless. I'm trying to build a system of equations such that it fits various different premisses. Testing the Code: Execute the code to identify any bugs or issues. true. 1of5write me code in c# console for connect 4Sent message. Nevertheless to have tested many code models as well overtime I have noticed significant progress in the latest months in this area. Would love to see Mistral scale up to an even larger model GPT 3. A truly useful code LLM, to me, currently has too many unsolved problems in it's way. Used to be I had to add that in every prompt and damn near bring a script with me to work on code That alone makes Local LLMs extremely attractive to me * B) Local models are private. 7b is definitely usable, even the 1. In summary, GPT and Opus are a strong tag team at planning, small logical revisions and debugging, but you're wasting tokens using Opus to generate code, and you're wasting time using GPT to generate code. while copilot takes over the intellisense and provides some Free version of chat GPT if it's just a money issue since local models aren't really even as good as GPT 3. Here is a perfect example. We discuss setup, optimal settings, and the challenges and accomplishments associated with running large models on personal devices. bot extension. In my experience, GPT-4 is the first (and so far only) LLM actually worth using for code generation and analysis at this point. I dont think i need a huge model just a 7b or so coding based LLM. Personally I wouldn't trust anyone else except OpenAI when it comes to actual GPT-4. Just dumb… it kept rewriting the completion to use a very outdated version. r/LocalLLaMA. Phind is a programming model. This method has a marked improvement on code generating abilities of an LLM. Combining the best tricks I’ve learned to pull correct & bug free code out from GPT with minimal prompting effort -A full suite of 14 hotkeys covering common coding tasks to make driving the chat more automatic. Maybe Microsoft in the future, but we don't know if they are gonna mix in GPT-3. There one generalist model that i sometime use/consult when i cant get result from smaller model. If you want, I can send you a tool I created that creates code explanations. I believe he means that use gpt to improve the prompt using the local file as context basically create a custom prompt without any generalization optimized for the file/code in question Reply reply More replies More replies More replies At this point, I think it will help good programmers who can actually understand the code and bite bad programmers who will just blindly copy and paste the generated code. io. GPT-4 is not good at coding, it definitely repeats itself in places it doesn't need to. When ChatGPT writes nodejs code, it is frequently using old outdated crap. Yes. I've found if you ask it to write the code in a functional style it produces much better results. AI, Goblin Tools, etc. js" Code was given in system msg as otherwise it seems it was completly neglected. 142 votes, 77 comments. I prefer using the web interface but have API access and don’t mind building a I personally learn coding from analyzing code on github, stackoverflow, etc. Again, that alone would make Local LLMs extremely attractive to me. OpenAI does not provide a local version of any of their models. I am a newbie to coding and have managed to build a MVP however the workflow is pretty dynamic so I use Bing to help me with my coding tasks. It beats GPT4 at humaneval (which is a python programming test), because that's the one and only subject it has been trained to excel in. Let's take me as an example. Hopefully, this will change sooner or later. for me it gets in the way with the default "intellisense" of visual studio, intellisense is the default code completion tool which is usually what i need. Super simple 1 click install, gets you coding with Claude / GPT-4 / Llama or whatever you want. I hope this is the direction AI research takes. 3b for basic tasks. I've experimented with some local LLMs, but I haven't been actively experimenting in the past several weeks and things are moving fast. I'm looking for good coding models that also work well with GPT Pilot or Pythagora (to avoid using ChatGPT or any paid subscription service) Discussions, articles and news about the C++ programming language or programming in C++. GPT prints, explains, and annotates code and can correct itself when you point out mistakes. Otherwise check out phind and more recently deepseek coder I've heard good things about. If this is the case, it is a massive win for local LLMs. Intermittently I will copy in large parts of code and ask for help in improving the control flow, breaking out functions, ideas for improving efficiency, things like that The code is all open source on GitHub if you want to check it out (tho it’s currently a few versions behind) Hopefully this quick guide can help people figure out what's good now because of how damn fast local llms move, and finetuners figure what models might be good to try training on. I often toggle back and forth between ChatGPT using GPT-4 and Anthropic Claude. Anything that isn't simple and straightforward will likely be bungled up by ChatGPT. Thanks for the suggestions. Well the code quality has gotten pretty bad so I think it's time to cancel my subscription to ChatGPT Plus. Only code for selector nothing else You have to use alpine. I'm testing the new Gemini API for translation and it seems to be better than GPT-4 in this case (although I haven't tested it extensively. Most AI companies do not. There's a free Chatgpt bot, Open Assistant bot (Open-source model), AI image generator bot, Perplexity AI bot, 🤖 GPT-4 bot (Now with Visual capabilities (cloud vision)! How is Grimoire different from vanilla GPT? -Coding focused system prompts to help you build anything. 5 level at 7b parameters. 🌟 Exclusive insights into the latest advancements and industry news I was hoping really hard for a local model for coding, especially when interacting with larger projects. If current trends continue, it could be seen that one day a 7B model will beat GPT-3. 18 votes, 15 comments. Use a prompt like: Based on the outlined plan, please generate the initial code for the web scraper. Setting Up Your Local Code Copilot. Very prompt adhering (within the pretty lousy at this point SDXL limits of course). Do you have recommendations for alternative AI assisstants specifically for Coding such as Github Copilot? I see many services online, but which one is actually the best? My company does not specifically allow Copilot X, and I would have to register it for Enterprise use LocalGPT is a subreddit dedicated to discussing the use of GPT-like models on consumer-grade hardware. ai - if you code, this is the latest, cleanest path to adding functionality to your model, with open licensing. Reply reply No. the real tricky stuff. As a member of our community, you'll gain access to a wealth of resources, including: 🔬 Thought-provoking discussions on automation, ChatGPT, and AI. I also saw, that the ST extras supprting chromadb for long term memory. On GPT-3. What do you guys use or could suggest as a backup offline model in case of ish. The underlying issue imo, besides that you need significant knowledge to check the code it outputs, is that much of the code in this discipline online is poorly made. When I want to learn something, I will start with the following as the system prompt in LM Studio, though you can use it anywhere. 5 is still atrocious at coding compared to GPT-4. It’s weird I saw Geo Hotz coding the other day - and I was like that’s so distant to me now. Well not this time To this end, we developed a new high-quality human evaluation set. I'm working on a 3060 6GB-Vram laptop with 64 GB ram. the screen is created and the caption is set. OpenChat kicked out the code perfectly the first time. GPT-4o is especially better at vision and audio understanding compared to existing models. Specifically, a python programming model. I was wondering if there is an alternative to Chat GPT code Interpreter or Auto-GPT but locally. ive tried copilot for c# dev in visual studio. 70b+: Llama-3 70b, and it's not close. Everything pertaining to the technological singularity and related topics, e. Maybe add voice input aswell. But, we could be ages away from that. Perfect to run on a Raspberry Pi or a local server. Not ChatGPT, no. This model completes tasks like code generation more thoroughly than the previous preview model and is intended to reduce cases of “laziness” where the model doesn’t complete a task. They got my job done pretty well therefore I want to use them for this commercial process and this approach can significantly reduce the monthly cost for clients compared to using expensive I have tons of snippets that do small things (read code, write code, etc) through agents, but I haven't found a proper workflow to integrate this into complex apps (eg. Even a MixTral 7bx8 type model focused on code would give GPT-4 a run for its money, if not beat it outright. ) Does anyone know the best local LLM for translation that compares to GPT-4/Gemini? This subreddit focuses on the coding side of ChatGPT - from interactions you've had with it, to tips on using it, to posting full blown creations! Make sure to read our rules before posting! Members Online Now imagine a GPT-4 level local model that is trained on specific things like DeepSeek-Coder. But for now, GPT-4 has no serious competition at even slightly sophisticated coding tasks. I want to use it for academic purposes like… Supercharger I feel takes it to the next level with iterative coding. I'll definitely spend more time with GPT Pilot to look at the implementation and try to learn about this. These are great for writing unit tests, converting code, and other tasks. A few questions: How did you choose the LLM ? I guess we should not use the same models for data retrieval and for creative tasks Is splitting with a chunk size/overlap of 1000/200 the best for these tasks ? Case in point, there are way bigger models than GPT-4 that perform significantly worst and ada-002 v2, also an OAI model, does way better semantic search than GPT-4 and 3, but it has only 400M parameters. Powered by a worldwide community of tinkerers and DIY enthusiasts. I am curious though, is this benchmark for GPT-4 referring to one of the older versions of GPT-4 or is it considering turbo iterations? It matches GPT-4 Turbo performance on text in English and code, with significant improvement on text in non-English languages, while also being much faster and 50% cheaper in the API. 5 generated Python textbooks. Include GPT 4 - unmatched in every aspect Tier 2: Mistral Medium - Personally it’s the only non-open ai model that I think may actually compare to gpt 3. For coding the situation is way easier, as there are just a few coding-tuned model. Nothing is clear about your distinction between a coding question and a question about coding. For example: GPT-4 Original had 8k context Open Source models based on Yi 34B have 200k contexts and are already beating GPT-3. I wrote a blog post on best practices for using ChatGPT for coding , you can check it out. Subreddit about using / building / installing GPT like models on local machine. cpp to serve a RAG endpoint where you can directly upload pdfs / html / json, search, query, and more. I don‘t see local models as any kind of replacement here. 5 - imo this is still quite a bit better than basically every provider’s best model Tier 3: Hey u/Diane_Horseman, if your post is a ChatGPT conversation screenshot, please reply with the conversation link or prompt. Huge problem though with my native language, German - while the GPT models are fairly conversant in German, Llama most definitely is not. There's a free Chatgpt bot, Open Assistant bot (Open-source model), AI image generator bot, Perplexity AI bot, 🤖 GPT-4 bot (Now with Visual capabilities (cloud vision)! The code/model is free to download and I was able to setup it up in under 2 minutes (without writing any new code, just click . Then of course I want it to maintain my own code base and be able to replicate my coding style. so i figured id checkout copilot. Both of these are affordable solutions to your issue. Home Assistant is open source home automation that puts local control and privacy first. I’m continually just throwing back the entire class going - fix this bug - and also feeding it screenshots ALONGSIDE the code. I've found that you'll need to tweak the code results to get it to actually work as you want. Mar 31, 2024 · Today, we’ll look into another exciting use case: using a local LLM to supercharge code generation with the CodeGPT extension for Visual Studio Code. 8 trillion parameters across 120 layers Mixture of Experts (MoE) of 8 experts, each with 220 parameters GPT-4 is trained on 13T tokens The training costs for GPT-4 was around $63 million The inference runs on a cluster of 128 GPUs, using 8-way tensor parallelism and 16-way pipeline parallelism. Personally I feel like it might be worth it to get vs code pilot again as it apparently has been upgraded to gpt 4 and since it's developed by the MS team it's fully built into Visual Studio so should be pretty good? This will be non programmers who can build entire programs with GPT, some of which will even be rather complex. At this time GPT-4 is unfortunately still the best bet and king of the hill. Another tip is don't use gpt-4-turbo-preview, which defaults to 0125, which is needlessly verbose. Claude is on par with GPT-4 for both coding and debugging. Late to the party but just use VS Code instead of Sublime, and get the double. txt” or “!python ingest. Members Online The snitch v1. I always had this idea where you have say like 10 specific models good at specific things, and a generalist model processes your prompt and decides which model to pass it to, kinda like GPT-4 plugins, except the plugins are other models, and not so overt (they're in the background). Ok local llm are not on par with ChatGpt 4. I was playing with the beta data analysis function in GPT-4 and asked if it could run statistical tests using the data spreadsheet I provided. I find the use of GPT-3 very useful for beginner programmers like myself (currently learning GML). oh this is neat! lots of potential for expansion. What is a good local alternative similar in quality to GPT3. I have much better luck with gpt-4-vision-preview, which is based on 1106 and is exactly the same but outputs at 2x the speed or more since fewer people use this model. • A small synthetic exercises dataset consisting of ∼180M tokens of Python exercises and solutions. Debugging with GPT-4: If issues arise, switch back to GPT-4 for debugging assistance. Chat gpt has been amazing at understanding the premises based on my words, and has been very helpf GPT-4 can give you 100-200 lines of code fairly effectively. js: Searching for: connect 4 c# console code Searching for: connect 4 c# console code Generating answers for you… Generating answers for you… My mistake, I can’t give a response to that right now. Since there no specialist for coding at those size, and while not a "70b", TheBloke/Mixtral-8x7B-Instruct-v0. The internet's shitty coding was absorbed, and on such a conceptually precise area it is really hard for GPT to get it right. GPT-3. If the jump is this significant than that is amazing. 5 the same ways. Aparently they used GPT 3-5. GPT falls very short when my characters need to get intimate. Last week we added Gemini 1. Hi. Be decisive and create code that can run, instead of writing I'm writing a code generating agent for LLMs. 5 turbo 16k: Sure! Here's the code for a dynamic tag multi-selector component using Alpine. exe to launch). A new fine-tuned CodeLlama model called Phind beats GPT-4 at coding, 5x faster, and 16k context size. They will both occasionally get stuck and be unable to resolve certain issues, at which point I will shift to get a “2nd opinion” from the other one. Still inferior to GPT-4 or 3. Do not reply until you have thought out how to implement all of this from a code-writing perspective. Playing around in a cloud-based service's AI is convenient for many use cases, but is absolutely unacceptable for others. Supercharger has the model build unit tests, and then uses the unit test to score the code it generated, debug/improve the code based off of the unit test quality score, and then run it all in a loop until it reaches a minimum quality score. The initial response is good with mixtral but falls off sharply likely due to context length. • A synthetic textbook dataset consisting of <1B tokens of GPT-3. We also discuss and compare different models, along with which ones are suitable From what I've read, it should be better than most other models at coding, but still far from ChatGPT levels. Let’s try a different topic. Here is what it got for your code: pygame module is imported. LMStudio - quick and clean local GPT that makes it very fast and easy to swap around different open source models to test out. Embed a prod-ready, local inference engine in your apps. Tax bot in 10 mins using new GPT creator: it knows the whole tax code (4000 pages), does complex calculations, cites laws, double-checks online, and generates a PDF for tax filing. i only signed up for it after discovering how much chatgpt has improved my productivity. 1-GGUF is the best and what i always use (i prefer it to GPT 4 for coding). Better quality code output! Due to the multi-stage code editing flow Codebuddy will produce much better results by default mainly because of the initial planning step. /` or any filler commentary implying that further functionality needs to be written. I use gpt-4 for python coding. It uses self-reflection to reiterate on it's own output and decide if it needs to refine the answer. You'll have to watch them for placeholders, but it does a decent job at smaller chunks of code. Also new local coding models are claiming to reach gpt3. I know there has been a lot of complaints about performance, but I haven't encountered it. Our vibrant Reddit community is the perfect hub for enthusiasts like you. GPT will excel at reading well designed code, and it writes well designed code, so I predict that GPT will work far better understanding code it wrote rather than some old codebase that was badly designed. Doesn't have to be the same model, it can be an open source one, or… So basically it seems like Claude is claiming that their opus model achieves 84. Attention! [Serious] Tag Notice: Jokes, puns, and off-topic comments are not permitted in any comment, parent or child. It does try to read/give full code and mostly success but I find gpt4 way better at iterative problem solving. There's no way to use the old GPT-4 on the Plus account. Powers Jan but not sure if/when they might support the new Starcoder 2. Just yesterday I kept having to feed Aider pipy docs for the OpenAI package. Hey u/uzi_loogies_, if your post is a ChatGPT conversation screenshot, please reply with the conversation link or prompt. im not trying to invalidate what you said btw. We discuss setup, optimal settings, and any challenges and accomplishments associated with running large models on personal devices. I created GPT Pilot - a PoC for a dev tool that writes fully working apps from scratch while the developer oversees the implementation - it creates code and tests step by step as a human would, debugs the code, runs commands, and asks for feedback. 5 levels of reasoning yeah thats not that out of reach i guess Tried CoPilot for coding and it’s not that good. Open Source will match or beat GPT-4 (the original) this year, GPT-4 is getting old and the gap between GPT-4 and open source is narrowing daily. The simple solutions right now are either use the API which does not contribute to training chatGPT or to use a custom GPT in the chatGPT plus GPT creator tool and scroll down to “include in training data” and hit disable. I want to run a Chat GPT-like LLM on my computer locally to handle some private data that I don't want to put online. But I decided to post here anyway since you guys are very knowledgeable. Punches way above it's weight so even bigger local models are no better. I have several that are modified for what I am trying to learn. I used this to make my own local GPT which is useful for knowledge, coding and anything you can never think of when the internet is down Currently, the most recent version of the GPT series that is available to the public is GPT-3, which can be accessed through various APIs or online platforms that offer access to GPT-3's capabilities. Quick intro. AI, human enhancement, etc. 5 vs. Today, we are releasing an updated GPT-4 Turbo preview model, gpt-4-0125-preview. Try asking for help with data analysis, image conversions, or editing a code file. However, I think GPT-4 make coding more approachable for novice coders, and encourages more people to build out their ideas. 5 on most tasks Thanks for that! That's actually pretty much what the solution to that particular issue was, so perhaps ChatGPT alone is enough for basic Q&A, but I'm wondering if there's something that can like analyze a whole project and spot pitfalls and improvements proactively, like have the AI integrated into the overall project with an understanding of what the overall goal is. GPT-4 could conceivably be beaten with that kind of hyper-focused training, but only a real world experiment would prove that. g. This is very useful for having a complement to Wikipedia Private GPT. You can even get bard + gpt to write out python code from machine learning papers. But you can't draw a comparison between BLOOM and GPT-3 because it's not nearly as impressive, the fact that they are both "large language models" is where the similarities end. When I requested one, I noticed it didn't use a built-in function but instead wrote and executed Python code to accomplish what I was asking it to do. I have heard a lot of positive things about Deepseek coder, but time flies fast with AI, and new becomes old in a matter of weeks. Our extensive evaluations demonstrate that DeepSeek-Coder not only achieves state-of-the-art performance among open-source code models across multiple benchmarks but also surpasses existing closed-source models like Codex and GPT-3. 5 and GPT-4 models. When we can get a substantial chunk of the codebase in high-quality context, and get quick high-quality responses on our local machines while doing so, local code LLMs will be a different beast. I don't really care what benchmarks say, because the benchmarked GPT models are definitely not what you get with a GPT subscription or API key. If I'm asking a question to do with a professional or academic topic, give a full and detailed explanation in the voice of your persona using professional terminology at an academic level without I've been playing around with uploading the Godot 4 documentation to a custom GPT and it seems much better at recognizing and using Godot 4 code rather than Godot 3! I've found that if you notice the code is out of date and call it out the GPT is good at remembering that going forward. I am paying for ChatGPT Plus, so there is no reason for OpenAI to lie to me and switch me to GPT-3. Do not include `/. Clean code with well-named functions, clever techiniques, less inefficient loops, hard-to-reason-about nesting etc. Sadly, I am always running into the window size being limited. 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