4th Place Solution for the Kaggle Competition: LMSYS - Chatbot Arena Human Preference Predictions

Gemma2(9B), Llama3-8B-Finetune-and-RAG, code base for sample, implemented in Kaggle platform

Effortless Data Extraction, Powered by : Generative AI

📝 Blog Writer Crew AI Agents - Streamlit App 🖋️

🧠 Multi-stage prompt refinement system using chain-of-thought reasoning to enhance AI responses. Reduces hallucinations through progressive validation and intelligent synthesis.

This GitHub repository, "AI-Crew-for-Instagram-Post", is a project that aims to provide an AI-powered solution for creating Instagram posts

🌐 Advanced LLM agent system combining Ollama and Gemma2:9B for enhanced reasoning. Features automated web search capabilities and intelligent response processing.

Analyze a dataset of conversations from the Chatbot Arena, where various LLMs provide responses to user prompts. The goal is to develop a model that enhances chatbot interactions, ensuring they align more closely with human preferences.

This GitHub repository, "Meeting-Prep-Using-CrewAI", is a project that aims to utilizeCrewAI to assist in meeting preparation.

📝 Streamlit App : Weekly News Letter Crew AI Agents 🖋️

Streamlit based RAG for interactive Q&A using Groq AI and various open-source LLM models. Upload PDFs, create vector embeddings, and query documents for context-based answers.

Tools and method for fine-tuning the Gemma 2 model on custom datasets

MasteryMap is your path finder tool to master any skills. Just enter the skill and duration and you will see a practical roadmap to master that skill.

A PDF question answering assistant with session chat history