AI-powered cybersecurity chatbot designed to provide helpful and accurate answers to your cybersecurity-related queries and also do code analysis and scan analysis.

The offical realization of InstructERC

A generalized framework for subspace tuning methods in parameter efficient fine-tuning.

Building a Chain of Thought RAG Model with DSPy, Qdrant and Ollama

Unleash the full potential of exascale LLMs on consumer-class GPUs, proven by extensive benchmarks, with no long-term adjustments and minimal learning curve.

Tool for test diferents large language models without code.

Collecting data for Building Lucknow's first LLM

An LLM enabled XML generator for Indian laws in the LegalDocML and LegalRuleML formats

Fine-tuning Llama2-7b and other llms for categorising emails for Deutsche Bahn (German National Railways)

🦖 X—LLM: Simple & Cutting Edge LLM Finetuning

This repository features an example of how to utilize the xllm library. Included is a solution for a common type of assessment given to LLM engineers, who typically earn between $120,000 to $140,000 annually

This project has implemented the RAG function on Jetson and supports TXT and PDF document formats. It uses MLC for 4-bit quantization of the Llama2-7b model, utilizes ChromaDB as the vector database, and connects these features with Llama_Index. I hope you like this project.

RAG chatbot using Llama 2, chainlit and Faiss

Text2SQL project comparing different LLM models

YouTube API implementation with Meta's Llama 2 to analyze comments and sentiments

Kickstart with LLMs

Chatbot app for interactively conversing with PDFs

Life AI Python - Python implementation of AI generation of text, audio, image using ZeroMQ

Some experiments with activation steering in LLMs

PEFT is a wonderful tool that enables training a very large model in a low resource environment. Quantization and PEFT will enable widespread adoption of LLM.