gpt-repository-loader
langchain
gpt-repository-loader | langchain | |
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12 | 152 | |
2,423 | 56,526 | |
- | - | |
0.0 | 10.0 | |
26 days ago | 10 months ago | |
Python | Python | |
MIT License | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
gpt-repository-loader
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Best coding AI to use with entire codebase
A good approach is to use a tool like this that turns an entire repo into a single file you can upload to GPT: https://github.com/mpoon/gpt-repository-loader (not my own repo). I find that much cleaner than doing a bunch of copy-and-pasting or uploading files one-by-one.
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What is the best backend service for authentication.
I have made an AI-bot that knows ALL of NextJS set up on my localhost. I can ask anything and it outputs the answer, context, examples and references. I used https://github.com/mpoon/gpt-repository-loader to create the files and loaded them into https://github.com/dabit3/semantic-search-nextjs-pinecone-langchain-chatgpt , then added OpenAI API to shape the { result } to my wishes. Works decently
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Looking for a program that links up to your Github
You might start with this: https://github.com/mpoon/gpt-repository-loader
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ChatGPT Plugins rolling out to all Plus users over the course of the next week
You may be interested in this: https://github.com/mpoon/gpt-repository-loader
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It looks like GPT-4-32k is rolling out
I've had access to the 32k model for a bit and I've been using this to collect and stuff codebases into the context: https://github.com/mpoon/gpt-repository-loader
It works really well, you can tell it to implement new features or mutate parts of the code and it having the entire (or a lot of) the code in its context really improves the output.
The biggest caveat: shit is expensive! A full 32k token request will run you like $2, if you do dialog back and forth you can rack up quite the bill quickly.
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Introducing GitHub Copilot X
https://github.com/mpoon/gpt-repository-loader here is open source take on part of this concept
- Show HN: GPT Repo Loader – load entire code repos into GPT prompts
- GPT Repo Loader - load entire code repo into GPT prompts
langchain
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🗣️🤖 Ask to your Neo4J knowledge base in NLP & get KPIs
Langchain and the implementation of Custom Tools also is a great (and very efficient) way to setup a dedicated Q&A (for example for chat purpose) agent.
- LangChain – Some quick, high level thoughts on improvements/changes
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Claude 2 Internal API Client and CLI
We're using it via langchain talking to Amazon Bedrock which is hosting Claude 1.x. It's comparable to GPT3.x, not bad. The integration doesn't seem to be fully there though, I think langchain is expecting "Human:" and "AI:", but Claude uses "Assistant:".
https://github.com/hwchase17/langchain/issues/2638
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Any better alternatives to fine-tuning GPT-3 yet to create a custom chatbot persona based on provided knowledge for others to use?
Depending on how much work you want to put into it, you can get started at HuggingFace with their models and datasets, but you'd need compute power, multiple MLOps, etc. I was introduced to the concept in this video, since Google has their Vertex AI tools on Google Cloud, and there's always LangChain but I'm not sure about anything recent.
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langchain VS griptape - a user suggested alternative
2 projects | 11 Jul 20232 projects | 9 Jul 2023
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Vector storage is coming to Meilisearch to empower search through AI
a documentation chatbot proof of concept using GPT3.5 and LangChain
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ChatPDF: What ChatGPT Can't Do, This Can!
I encourage everyone to pay attention to the Langchain open-source project and leverage it to achieve tasks that ChatGPT cannot handle.
- LangChain Arbitrary Command Execution - CVE-2023-34541
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Langchain Is Pointless
Yeah I never know where memory goes exactly in langchain, it's not exactly clear all the time. But sure, the main insight I remember is this, take a look at their MULTI_PROMPT_ROUTER_TEMPLATE: https://github.com/hwchase17/langchain/blob/560c4dfc98287da1...
It's a lot of instructions for an LLM, they seem to forget an LLM is an auto-completion machine, and which data it is trained on. Using <<>> for sections is not a normal thing, it's not markdown, which probably the thing read way more often on the internet, instead of open json comments, why not type signatures, instead of so many rules, why not give it examples? It is an autocomplete machine!
They are relying too much on the LLM being smart because they probably only test stuff in GPT-4 and 3.5, but with GPT4All models this prompt was not working at all, so I had to rewrite it, for simple routing, we don't even need json, carying the `next_inputs` here is weird if you don't need it.
So this is my version of it: https://gist.github.com/rogeriochaves/b67676977eebb1936b9b5c...
It's so basic it's dumb, yet it is more powerful, as it does not rely on GPT-4 level intelligence, it's just what I needed
What are some alternatives?
1filellm - Specify a github or local repo, github pull request, arXiv or Sci-Hub paper, Youtube transcript or documentation URL on the web and scrape into a text file and clipboard for easier LLM ingestion
semantic-kernel - Integrate cutting-edge LLM technology quickly and easily into your apps
langchain - 🦜🔗 Build context-aware reasoning applications
llama_index - LlamaIndex is a data framework for your LLM applications
githubnext - A public point of contact for GitHub Next
llama - Inference code for Llama models
bza - turn books, articles, plaintext or webpages into interactive read eval print loops, manage bookmarks in your own local database
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
aidev - AI developer: ask GPT-4 to modify an entire folder full of files
gpt_index - LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data. [Moved to: https://github.com/jerryjliu/llama_index]
AutoPR - Run AI-powered workflows over your codebase
AutoGPT - AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.