Artificial intelligence engineers rely on a robust toolkit of machine learning (ML) frameworks and platforms to build, train, and deploy models. In a fast-evolving field, using the right tools can dramatically improve productivity and model performance. This article highlights 10 of the best free and open-source ML tools that every AI engineer should know ā […]
1. Technical Architecture Overview and Design: Alibabaās Babel is an open-source multilingual large language model (LLM) developed to bridge language gaps in AI. It covers the top 25 most-spoken languages, collectively spoken by over 90% of the global population (Babel – Open Multilingual Large Language Models Serving Over 90% of Global Speakers). Babelās core architecture […]
Agentic Retrieval-Augmented Generation (RAG) represents a significant advancement in AI technology, combining large language models (LLMs) with intelligent retrieval mechanisms. This paradigm shift enables systems to dynamically manage information retrieval, enhancing decision-making and problem-solving capabilities. This report explores the latest advancements in Agentic RAG, including enhanced decision-making, multi-modal retrieval, and multi-agent systems, and discusses their […]
In a recent conversation, Egor Howell spoke with Mandy, an ex-data scientist from Meta and current solopreneur, about her journey and advice for those looking to break into or advance in the field of data science. Mandy’s path is an inspiring one, moving from economics to tech, with roles in Beijing and London, before landing […]
