Meta has tweaked its business terms to remove language suggesting that it could freely train its AI models on news sites, like The Verge …
Meta has re-enabled Muse sharing after security researchers had reported that public conversation links could be easy to find. The researchers said they had been…
Oh sure, SpaceX's credit risk is pretty high because it's about to borrow another $40 billion to spend on Nvidia chips, but who cares about…
The new feature allows agents to log into a customer's personal accounts while still protecting the private credentials that secure those accounts.
Fast, focused, low-cost decisions for any application.
OpenAI is launching its decision model to the world. Can it compete with the original Jev?
Canva is making its new image model available to all users, promising better, more customizable performance at lower costs.
Discord's latest update released today has a big improvement for Markdown previews: they should now render correctly instead of with "a bunch of symbols," according…
Microsoft’s new AI diagnostic system beat generalist doctors on hard cases, according to a study in Science. But most of the improvement seems to come…
Mark Zuckerberg is barrelling toward a future in which an autonomous network of AI agents will run our lives - shopping for us, working for…
The Amazon Polly Generative engine gets a major upgrade: more expressive, more accurate speech with low latency, plus 14 new voices across 9 locales and general availability of Hindi and Finnish. This drop-in upgrade requires no code changes and is now generally available in production.
Learn how IskayPet, a leading pet care company in Iberia, built a multilingual corporate knowledge assistant on Amazon Bedrock Managed Knowledge Bases. The assistant answers employee questions across retail, veterinary, onboarding, and procurement in four languages and three countries, with no RAG infrastructure to manage.
Amazon SageMaker AI serverless model customization now includes training sessions, generally available today. You write and coordinate your own post-training loop (custom loss functions, reward signals, or multi-turn reinforcement learning) while SageMaker AI handles GPU allocation, distributed execution, fault recovery, and checkpoint storage.
Amazon SageMaker AI training session APIs let you write your own LLM training loop (SFT, RL, or custom objectives) in a Python script while the service runs the GPUs. This post introduces the programming model and three SDK clients, then walks through a GRPO loop on GSM8K and a reinforcement learning workload on competitive programming.
