Morning Overview on MSN
Observational memory slashes AI agent costs 10x and crushes RAG on long tasks
AI teams are discovering that the most expensive part of an agent is not the model, it is the memory strategy wrapped around ...
Microsoft revealed a set of updates to its Azure platform during the Build 2025 conference aimed at improving dev access to AI-powered voice agents, document indexing and vector search integration.
As agent-based AI systems grow more sophisticated, developers are moving well beyond basic Retrieval-Augmented Generation (RAG) into a new era of autonomous, tool-integrated, and multi-agent ...
The excitement around generative AI has pushed large language models (LLMs) to the forefront of enterprise software development--but getting those models into production is where the real complexity ...
If you looked under the hood of generative AI (GenAI) technologies over the last year or so, you probably came across the concept of retrieval augmented generation (RAG). RAG has gained a lot of buzz, ...
Though Retrieval-Augmented Generation has been hailed — and hyped — as the answer to generative AI's hallucinations and misfires, it has some flaws of its own. Retrieval-Augmented Generation (RAG) — a ...
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