Local semantic sentence embedding Reader-Answerer model for Retrieval Augmented Generation (RAG) of cited question answering from .pdf, .md, & .docx files using small language models.
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Updated
Sep 20, 2024 - Python
Local semantic sentence embedding Reader-Answerer model for Retrieval Augmented Generation (RAG) of cited question answering from .pdf, .md, & .docx files using small language models.
Implementation of a LLaDA-inspired Masked Diffusion Model for Text using PURE BYTE-LEVEL TOKENIZATION (cuz why not) and Mixed Precision Training for speed.
A curated showcase of small, on-premise models with great utility, enabling privacy-centered deployment and easy adaptation to bio-inspired use cases.
Experiments with In Context Learning using small functions
Create a Small LLM using EleutherAI/gpt-neo-2.7B - Fine Tune It for a Specalized Purpouse and Leverage as a Co-Pilot
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