Optimizing inference proxy for LLMs
-
Updated
Nov 16, 2024 - Python
Optimizing inference proxy for LLMs
A machine learning package for streaming data in Python. The other ancestor of River.
Official repo for DK904 - IOT Stream Data Mining
This Streamlit application showcases the Mixture of Agents (MOA) architecture proposed by Together AI, powered by Groq LLMs. It allows users to interact with a configurable multi-agent system for enhanced AI-driven conversations.
A simplified agentic workflow process based on the Mixture of Agents (MoA) system for Large Language Models (LLMs)
Trabalho de matéria de Modelagem e Otimização de Algoritmos
Pythonic wrapper around Massive Online Analysis (MOA)
Add a description, image, and links to the moa topic page so that developers can more easily learn about it.
To associate your repository with the moa topic, visit your repo's landing page and select "manage topics."