#open-source models

Tribe AI provides a low code platform for the efficient creation and management of multi-agent teams. Ideal for handling complex tasks, the platform utilizes specialized agent skills in areas like sports analysis and customer service. Key features include preserving conversation history, real-time performance tracking, and simple deployment using Docker. It accommodates open-source models and supports Retrieval Augmented Generation for improved data processing. With the ability to integrate with other applications, Tribe AI is suited for diverse industries requiring adaptable workflow management.

Discover a comprehensive collection of methodologies, tools, and step-by-step guides designed for training large language and multi-modal models, aimed at engineers and ML operators. This resource includes practical scripts and commands and draws from the author's experience with models such as BLOOM-176B and IDEFICS-80B, as well as ongoing work with RAG models at Contextual.AI. It covers crucial aspects from hardware configurations to debugging and orchestration, supporting efficient development and inference of advanced machine learning models. Follow updates and enhancements through social media.