InfoQ » AI, ML & Data Engineering
5 FOLLOWERS
Explore articles on deep learning, TensorFlow, neural network, MLaaS, cognitive services, stream processing, and more. Since we started publishing in 2006, InfoQ has witnessed and reported on various trends in software development that have passed from the innovator stage to being widely adopted.
InfoQ » AI, ML & Data Engineering
19h ago
AWS has introduced Multi-Agent Orchestrator, a framework designed to manage multiple AI agents and handle complex conversational scenarios. The system routes queries to the most suitable agent, maintains context across interactions, and integrates seamlessly with a variety of deployment environments, including AWS Lambda, local setups, and other cloud platforms.
By Daniel Dominguez ..read more
InfoQ » AI, ML & Data Engineering
2d ago
Microsoft has announced the release of Magentic-One, a new generalist multi-agent system designed to handle open-ended tasks involving web and file-based environments. This system aims to assist with complex, multi-step tasks across various domains, improving efficiency in activities such as software development, data analysis, and web navigation.
By Daniel Dominguez ..read more
InfoQ » AI, ML & Data Engineering
3d ago
At QCon SF 2024, Victor Dibia from Microsoft Research explored the complexities of multi-agent systems powered by generative AI. Highlighting common pitfalls like inadequate prompts and poor orchestration, he shared strategies for enhancing reliability and scalability. Dibia emphasized the need for meticulous design and oversight to unlock the full potential of these innovative systems.
By Andrew Hoblitzell ..read more
InfoQ » AI, ML & Data Engineering
3d ago
At QCon SF 2024, Ye (Charlotte) Qi of Meta tackled the complexities of scaling large language model (LLM) infrastructure, highlighting the "AI Gold Rush" challenge. She emphasized efficient hardware integration, latency optimization, and production readiness, alongside Meta's innovative approaches like hierarchical caching and automation to enhance AI performance and reliability.
By Andrew Hoblitzell ..read more
InfoQ » AI, ML & Data Engineering
3d ago
Vercel has announced version 4.0 of its open-source AI SDK toolkit designed for building AI applications in JavaScript and TypeScript. The update introduces key features like PDF support, computer use integration, and a new xAI Grok API.
By Daniel Dominguez ..read more
InfoQ » AI, ML & Data Engineering
4d ago
Epoch AI in collaboration with over 60 mathematicians from leading institutions worldwide has introduced FrontierMath, a new benchmark designed to evaluate AI systems' capabilities in advanced mathematical reasoning.
By Vinod Goje ..read more
InfoQ » AI, ML & Data Engineering
5d ago
Mistral AI recently released Ministral 3B and Ministral 8B, two small language models that are collectively called les Ministraux. The models are designed for local inference applications and outperform other comparably sized models on a range of LLM benchmarks.
By Anthony Alford ..read more
InfoQ » AI, ML & Data Engineering
6d ago
Explore the dynamic intersection of responsible AI, regulation, and ethics in the FinTech sector. This article highlights key challenges and innovative practices as organizations navigate compliance with evolving guidelines like the EU AI Act. Discover how to balance transparency, efficiency, and risk management for sustainable AI growth in your business.
By Lexy Kassan ..read more
InfoQ » AI, ML & Data Engineering
1w ago
Architectural Intelligence is the ability to look beyond AI hype and identify real AI components. Determining how, where, and when to use AI elements comes down to traditional trade-off analysis. Like any technology, AI can be used creatively, but inappropriately. Identify if AI makes sense for your use case, then work to use it effectively to meet your needs.
By Thomas Betts ..read more
InfoQ » AI, ML & Data Engineering
1w ago
Jun He gave a talk at QCon SF 2024 titled Efficient Incremental Processing with Netflix Maestro and Apache Iceberg. He showed how Netflix used the system to reduce processing time and cost while improving data freshness.
By Anthony Alford ..read more