This project leverages Language Model (LLM) finetuning, Semantic Chunking, and a Retrieval-Augmented Generation (RAG) based Chatbot framework to provide personalized medical information retrieval for remote patients in the Healthcare 5.0 era.

Finetuning and evaluating LLMs to extract GHG emissions from PDF reports using RAG and grammar-based decoding.

Ask Huberman is a customized LLM flask webapp powered by RAG (Retrieval Augmented Generation) Technology and a Vector Database from Chroma. RAG allows for customization of LLM behavior without the expensive costs of model finetuning and in this case is customized using transcripts of the first 20 episodes from the Huberman podcast.

Finetune Opensource LLMs like Llama 2 and Falcon 7b with ingestion pipeline and RAG

Building production ready LLM's with prompt Engineering, finetuning, RAG and Agents. understanding different techniques, frameworks(LangChain, LLamaIndex) that are involved.

Scalable Data Warehouse for LLM Finetuning: API Design for High Throughput Data Ingestion and RAG Retrieval

Implementing RAG, text classification, generation and summarization.

Document LLM training materials, including RAG and Finetuning

A production-grade RAG pipeline for Astrophysics. Features a Contrastive-Tuned Dense Retriever (Hard Negative Mining), a Cross-Encoder Re-Ranker, and a LoRA-Finetuned LLM (Llama-3) optimized for faithful, citation-backed answer generation

Chiy0 is a LLM assistant that uses both a fine tuned model and rag to help the user. It helps the user by scraping pdfs using serper api given a input which the user can then add to a vectorDB for rag or finetune with unsloth. also the project is named after chiyo chan from azumanga daioh

Scalable Data Warehouse for LLM Finetuning: API Design for High Throughput Data Ingestion and RAG Retrieval. This project collects, cleans, processes, and stores text/audio data for Swahili language. It includes web scraping, database management, API development, and automated workflows to enhance NLP capabilities for African languages.

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Finetuning LLM and RAG pipeline

LLM finetuning and RAG samples

Finetuning LLMs using RAG, QLora/peft and Quantization

LLM Finetuning, Knowledge distillation, RAG, and Deployment

Example of LLM based RAG and finetuning

Enterprise-grade evaluation comparing RAG and Fine-Tuning for local Open-Source LLMs with multi-agent system analysis.

Hands-on projects with LLMs, Finetuning, RAG and AI Agents.

This is a repository to do finetuning and RAG over LLMs

LLM project to explore RAG and finetuning using LORA

RAG and LLM finetuning for data analysis, along with RAG implementation with chromaDB.

Finetuning LLM and use RAG to build medical chatbot system

Collection of LLM experiments including finetuning and RAG based apps

Expo Invoice Intelligence Application using LLM, RAG, and OCR- Finetuning

Simple LLM Inference on CPU and finetuning and RAG of LLM Model to create a Custom Chatbot

Simple LLM Inference on CPU and finetuning and RAG of LLM Model to create a Custom Chatbot

This repo contain my projects on generative AI with a focus on LLMs, RAG and Finetuning

Scalable Data Warehouse for LLM Finetuning: API Design for High Throughput Data Ingestion and RAG Retrieval

Finetuning Meta's LLaMa 2 and generating a sentence transformer model as a Q&A RAG LLM App