llama_farm
langchain
llama_farm | langchain | |
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17 | 153 | |
143 | 56,526 | |
- | - | |
6.7 | 10.0 | |
about 1 month ago | 10 months ago | |
Hy | Python | |
GNU Affero General Public License v3.0 | MIT License |
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llama_farm
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How to overcome the issues of the limit of ~4,000 tokens per input, when dealing with documents summarization?
I do i recursively https://github.com/atisharma/llama_farm/blob/main/llama_farm/summaries.hy
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Ask HN: Is SICP/HtDP still worth reading in 2023? Any alternatives?
It's funny that you asked that and then someone posted an app that's almost entirely Hy language. I'm just sharing it so you have one example:
https://github.com/atisharma/llama_farm/tree/main
The AI's have limited ability to either handle large documents or track conversations. This tool is an attempt to solve that problem. It works with OpenAI and open-source AI's.
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Langchain Youtube Summarizer with Oooba api Custom LLM wrapper (and kobold)
Then you might like https://github.com/atisharma/llama_farm
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What is the best way to create a knowledge-base specific LLM chatbot ?
I use this
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Is anyone doing always-on voice to text with a local llama at home?
Bark and another one I forgot. See this for example implementation.
- Request for comment / contribution - local AI tool (Hy)
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Anything like ChatGPT that we can run ourself where we train with with our own data, so we can use it as personal assistant, where it only knows about oneself better than themselves ?
This is what I use
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balacoon_tts: Fastest neural TTS on Raspberry
It's now incorporated in llama-farm.
- A local model for summarizing articles
- Story writing concept
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?
h2ogpt - Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/
semantic-kernel - Integrate cutting-edge LLM technology quickly and easily into your apps
SillyTavern-Extras - Extensions API for SillyTavern.
llama_index - LlamaIndex is a data framework for your LLM applications
vllm - A high-throughput and memory-efficient inference and serving engine for LLMs
llama - Inference code for Llama models
gorilla - Gorilla: An API store for LLMs
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
DeepKE - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
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]
ue5-llama-lora - A proof-of-concept project that showcases the potential for using small, locally trainable LLMs to create next-generation documentation tools.
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.