kor
RasaGPT
| kor | RasaGPT | |
|---|---|---|
| 8 | 8 | |
| 1,520 | 2,182 | |
| - | - | |
| 6.9 | 5.6 | |
| 2 days ago | 6 months ago | |
| Python | Python | |
| MIT License | MIT License |
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kor
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Pydentic in prompt engineering
Check out kor
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27-Jun-2023
Extract structured data from text using LLMs (https://github.com/eyurtsev/kor)
- Kor: Extract structured data using LLMs
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Guidance on creating a very lightweight model that does one task very well
Check out https://github.com/eyurtsev/kor
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A minimal design pattern for LLM-powered microservices with FastAPI & LangChain
You're absolutely correct, and I agree that there's potentially a risk of quality loss. But likewise, since these are all intrinsically linked, it may be possible to leverage strength by combining these tasks. I'm unaware of a paper reviewing the reliability and/or performance of LLMs in this specific scenario. If you find any, do share :) With regards to generating JSON responses - there are simple ways to nudge the model and even validate it, using libraries such as https://github.com/promptslab/Promptify, https://github.com/eyurtsev/kor and https://github.com/ShreyaR/guardrails
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Information extraction in large documents with LLMs
Currently, I'm experimenting with GPT-3.5-turbo in conjunction with the kor library (langchain for information extraction) to define a prompt template with various examples of what I'm looking for.
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RasaGPT: First headless LLM chatbot built on top of Rasa, Langchain and FastAPI
yes. there are a few approaches which i intend to take and some helpful resources:
You could implement a Dual LLM Pattern Model https://simonwillison.net/2023/Apr/25/dual-llm-pattern/
You could also leverage a concept like Kor which is a kind of pydantic for LLMs: https://github.com/eyurtsev/kor
in short and as mentioned in the README.md this is absolutely vulnerable to prompt injection. I think this is not a fully solved issue but some interesting community research has been done to help address these things in production
RasaGPT
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(1/2) May 2023
RasaGPT: headless LLM chatbot platform built on top of Rasa and Langchain (https://github.com/paulpierre/RasaGPT)
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AI Weekly rundown (May 7- May 13, 2023): OpenAI's Shap·E, Multimodal GPT, Anthropic's constitutional AI and a lot more.
(Source)
- RasaGPT: First headless LLM chatbot built on top of Rasa, Langchain and FastAPI
What are some alternatives?
Promptify - Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research
pandas-ai - Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
motorhead - 🧠 Motorhead is a memory and information retrieval server for LLMs.
LLMChat - A Discord chatbot that supports popular LLMs for text generation and ultra-realistic voices for voice chat.
lambdaprompt - λprompt - A functional programming interface for building AI systems
langchain-chatbot - AI Chatbot for analyzing/extracting information from data in conversational format.
NeMo-Guardrails - NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
codeinterpreter-api - 👾 Open source implementation of the ChatGPT Code Interpreter
sketch - AI code-writing assistant that understands data content
langchain-llm-katas - This is a an open-source project designed to help you improve your skills with AI engineering using LLMs and the langchain library
rasa-haystack