AI-powered cybersecurity chatbot designed to provide helpful and accurate answers to your cybersecurity-related queries and also do code analysis and scan analysis.
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Updated
Feb 21, 2026 - Python
AI-powered cybersecurity chatbot designed to provide helpful and accurate answers to your cybersecurity-related queries and also do code analysis and scan analysis.
A generalized framework for subspace tuning methods in parameter efficient fine-tuning.
The offical realization of InstructERC
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.
Collecting data for Building Lucknow's first LLM
An LLM enabled XML generator for Indian laws in the LegalDocML and LegalRuleML formats
Llama 2 inference in C on the PlayStation Portable (PSP).
Tool for test diferents large language models without code.
Fine-grained Emotion Classification (FEC) using structured feature fusion from LLaMA-2-7B-Chat, BERT-large, and RoBERTa-large.
Fine-tuning Llama2-7b and other llms for categorising emails for Deutsche Bahn (German National Railways)
🦖 X—LLM: Simple & Cutting Edge LLM Finetuning
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.
Text2SQL project comparing different LLM models
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
Some experiments with activation steering in LLMs
YouTube API implementation with Meta's Llama 2 to analyze comments and sentiments
Chatbot app for interactively conversing with PDFs
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.
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