IA pour le développementMongoDB BlogAnglais (fort signal lorsque le volume local est faible)
IA pour le développement
At MongoDB Research, we’re exploring how to make cutting‑edge AI models smaller, faster, and more flexible. In this blog post, we present LEAF (Lightweight Embedding Alignment Framework), a new knowledge distillation framework for text…
Docker has published a guide to five security risks that arise when AI agents are allowed to browse, run code and call tools with limited human oversight. They argue that the autonomy that makes agents useful also makes conventional…
Generative AI is rapidly evolving from experimenting with models to relying on intelligent, autonomous multi-agent workflows that can reason, act, and adapt in real time. Together, Microsoft and MongoDB are defining the future of AI by…
Google has introduced the LiteRT Tensor API, a lightweight C++ API that allows developers to build, customize, and optimize machine learning models directly for on-device execution. According to Google, it combines the flexibility of…