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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
๐ Blog Writer Crew AI Agents - Streamlit App ๐๏ธ
๐ Streamlit App : Weekly News Letter Crew AI Agents ๐๏ธ
This competition challenges you to predict which responses users will prefer in a head-to-head battle between chatbots powered by large language models (LLMs).
Enhancing local language models through iterative refinement for improved reasoning and reduced hallucinations.
This GitHub repository, "AI-Crew-for-Instagram-Post", is a project that aims to provide an AI-powered solution for creating Instagram posts
Seamless interaction with Multiple LLM
LLM agent system for developers with support for reasoning, web search, and 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.
GroqWarp is a Streamlit app that compares the performance of RAG using Groq and Ollama models, visualizing response times and accuracy. It leverages FAISS for document retrieval and displays a side-by-side performance chart.
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.
This GitHub repository, "Meeting-Prep-Using-CrewAI", is a project that aims to utilizeCrewAI to assist in meeting preparation.
Tools and method for fine-tuning the Gemma 2 model on custom datasets
A PDF question answering assistant with session chat history
It takes long texts in UKR and extract 13 classes of entities. Based on Gemma 2 9b. F1 = 0.35 for f1 metric on kaggle competition. DSPY powered
๐ผ A modern CRM system created for small businesses, powered by local AI using Gemma2 model. Built with Python, Streamlit, and Ollama for secure, efficient customer relationship management.
A next-generation creative writing large language model for writing entire book chapters at once.
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.