BrainChulo
Harnessing the Memory Power of the Camelids (by ChuloAI)
learn-langchain
By paolorechia
| BrainChulo | learn-langchain | |
|---|---|---|
| 10 | 8 | |
| 143 | 274 | |
| 2.1% | - | |
| 9.0 | 6.7 | |
| 8 months ago | about 1 year ago | |
| Python | Python | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
BrainChulo
Posts with mentions or reviews of BrainChulo.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-06.
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Alternative to LangChain for open LLMs?
On BrainChulo, we’re going 100% guidance mode, see for instance an implementation of Chain of Thoughts on top of a thin guidance wrapper: https://github.com/ChuloAI/BrainChulo/blob/main/app/guidance_tooling/guidance_agent/agent.py
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Running local LLM for info retrieval of technical documents
Awesome resource! If I may suggest that you'd add one, some friends and I are working on data retrieval with llm project as well, with our differentiating marker being that we are trying to implement guidance in order to improve the agent efficiency. If you guys wanna take a look :) https://github.com/ChuloAI/BrainChulo
- LlamaCPP and LangChain Agent Quality
- Training a 13B LLaMA on information from documents.
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Chat with Documents using Open source LLMs
Plug: https://github.com/iGavroche/BrainChulo - BrainChulo currently works on top of Ooba but uses its own UI interface. Its first goal is to provide a production-level way to do Retrieveal Augmentation on Open Source LLMs via vector stores and good prompt engineering.
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What features would everyone like to see in oog?
Regarding this, I've joined a project that is doing some nice progress on this front. Still WIP but we're getting there, checkout BrainChulo :)
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7B models use with Langchainn for Chatbox importing of txt or pdf's
This is exactly what BrainChulo aims to do. You should check it out: https://github.com/CryptoRUSHGav/BrainChulo/ and feel free to drop on the discord to give us your feedback, your use-case, or if you need help getting started.
- [Local Llama] Aggiunta di memoria a lungo termine a LLM personalizzati: domiamo Vicuna insieme!
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adding models to oobabooga
The download script is broken. I posted a working version on my repo: https://github.com/CryptoRUSHGav/BrainChulo
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Adding Long-Term Memory to Custom LLMs: Let's Tame Vicuna Together!
I'm hoping that many of you brilliant people can join me in our common quest to add long-term memory to our favorite camelid, Vicuna. The repository is called BrainChulo, and it's just waiting for your contributions.
learn-langchain
Posts with mentions or reviews of learn-langchain.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-06.
- Alternative to LangChain for open LLMs?
- Can someone explain why there isn't a good interface for the oobabooga api in langchain?
- Vicuna/LLaMMA Models and Langchain Tools
- Ho to run .safetensors models with langchain/huggingface pipelines?
- Local Vicuna: Building a Q/A bot over a text file with langchain, Vicuna and Sentence Transformers
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Embeddings?
Source code: https://github.com/paolorechia/learn-langchain/tree/main/langchain_app/document
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Is it possible to run GPTQ quantized 4bit 13B Vicuna locally on a GPU with langchain?
If not and you need to stream and cut off the text more manually, you may want to take a look at this implementation of Vicuna under LangChain: https://github.com/paolorechia/learn-langchain/
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Creating an AI Agent with Vicuna 7B and Langchain: fetching a random Chuck Norris joke
You can find my code here: https://github.com/paolorechia/learn-langchain
What are some alternatives?
When comparing BrainChulo and learn-langchain you can also consider the following projects:
gpt4-pdf-chatbot-langchain - GPT4 & LangChain Chatbot for large PDF docs
AgentOoba - An autonomous AI agent extension for Oobabooga's web ui
guidance - A guidance language for controlling large language models. [Moved to: https://github.com/guidance-ai/guidance]
gptq_for_langchain - A guide about how to use GPTQ models with langchain
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
FastChat - An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
outlines - Structured Text Generation
vicuna-react-lora - An experiment of finetuning Vicuna with ReAct instructions
long_term_memory - A gradio web UI for running Large Language Models like GPT-J 6B, OPT, GALACTICA, LLaMA, and Pygmalion.
GPTQ-for-LLaMa-API - Provide a way to use the GPT-QLLama model as an API
gpt-llama.cpp - A llama.cpp drop-in replacement for OpenAI's GPT endpoints, allowing GPT-powered apps to run off local llama.cpp models instead of OpenAI.
andromeda-chain - Serving hugging face guidance behind a server
BrainChulo vs gpt4-pdf-chatbot-langchain
learn-langchain vs AgentOoba
BrainChulo vs guidance
learn-langchain vs gptq_for_langchain
BrainChulo vs private-gpt
learn-langchain vs FastChat
BrainChulo vs outlines
learn-langchain vs vicuna-react-lora
BrainChulo vs long_term_memory
learn-langchain vs GPTQ-for-LLaMa-API
BrainChulo vs gpt-llama.cpp
learn-langchain vs andromeda-chain