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This repo is a collection of various PoCs (Proof-of-Concepts) to interface custom data using LLMs.

License: MIT License

Shell 0.01% Python 4.42% HTML 6.02% Jupyter Notebook 89.55% Dockerfile 0.01%

llm-poc's Introduction

Sarvadnya (सर्वज्ञ), an All-Knowing Micro SaaS!!

Chatbots can be real WoW!! The recent evidence is: ChatGPT. Now that they are more human-like with the latest LLMs (Large Language Models). But these LLMs are Pretrained on their own (HUGE) data. Mere mortals don't have any ways ($$, time, expertise) to train own LLMs. Some do have facility to get fine-tuned on custom corpus, but limited. Custom fine tuning of text documents is being provided by many.

This repo is a collection of various PoCs (Proof-of-Concepts) to interface custom data using LLMs.

Stretch (RnD) goals:

Pathways

  • Enterprise: Google Cloud: Gen AI, Doc AI, Vertex AI: Skills Boost paths, Professional ML Certification
  • Open Source: Langchain, HuggingFace, Streamlit: Custom fine-tuned models

Why LangChain based Implementations ?:

  • Local (secure), no over-the-net API/web calls
  • Open source, Free via HuggingFace
  • Python!! end-to-end, with Streamlit as UI
  • Huge support, community, opportunities

Publications so far

References

Bottom-line

  • Not looking for Success, but Wonder!!
  • तमसो मा ज्योतिर्गमय : From Dark (hidden in text data) to Light (insights)

llm-poc's People

Contributors

yogeshhk avatar dependabot[bot] avatar

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