aigc_serving lightweight and efficient Language service model reasoning
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Updated
Jun 12, 2024 - Python
aigc_serving lightweight and efficient Language service model reasoning
AI Data Assistant empowers data professionals by speaking both human language and machine langauges (SQL/Python)
It is a simple chatbot with Open Source LLMs using Python and Hugging Face that helps you to have an intelligent conversations with a computer using terminal.
A web application developed using Streamlit that leverages federated learning (FL) to collaboratively train a character-level recurrent neural network (CharRNN) model for text generation. The model is specifically trained on a custom dataset of Linux errors and their solutions.
This project explores various LLMs and embedding models using LangChain, integrating OpenAI, Hugging Face, Google Gemini, and Anthropic. It includes chat models, document similarity search, and embeddings with cosine similarity for retrieval. The setup is simple, making it easy to experiment with LLMs and vector search. 🚀 (Big Thankyou to CampusX)
It is an innovative repository housing a sophisticated Large Language Model (LLM) project, showcasing the intersection of advanced natural language processing and cutting-edge artificial intelligence. This repository serves as a comprehensive platform for the development, experimentation, and application of state-of-the-art language models.
Generate professional resumes and cover letters using a locally-running Large Language Model (LLM) through Ollama.
Ai project에 쓰이는 유아 모델입니다.
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