Amazon Web Services introduced a suite of new capabilities aimed at simplifying the creation of custom large language models for enterprise customers. At its re:Invent conference, AWS unveiled serverless model customization in SageMaker, offering both point‑and‑click and natural‑language‑driven workflows, and announced reinforcement fine‑tuning in Bedrock. The company also launched Nova Forge, a service that builds bespoke Nova models for a fixed annual fee. These moves signal AWS’s focus on frontier AI models and could help customers differentiate their AI solutions in a market dominated by Anthropic, OpenAI, and Gemini. Read more →

Amazon Web Services unveiled a trio of upgrades to its Bedrock AgentCore platform at the re:Invent conference. The new Policy tool lets developers set natural‑language boundaries for AI agents, including data‑access limits and transaction caps, while integrating with the AgentCore Gateway to enforce those rules. A pre‑built Evaluations suite offers 13 metrics to monitor correctness, safety and tool‑selection accuracy. Finally, AgentCore Memory gives agents a persistent log of user preferences, enabling more personalized interactions. Vice‑president David Richardson emphasized that these layers together aim to make enterprise AI agents safer, more controllable, and more useful over time. Read more →

Anthropic announced that it will begin training its Claude AI models on new user chat and coding data unless users opt out, extending data retention to five years. The change affects all Claude consumer plans but excludes commercial tiers and third‑party API usage. Users must respond to a pop‑up notice by September 28, with the default setting turned on for data sharing. Anthropic says it filters sensitive information and does not sell user data. Read more →

Anthropic has increased the context window for its Claude Sonnet 4 model to 1 million tokens, allowing API users to submit prompts up to roughly 750,000 words. The upgrade, available through Anthropic’s API and cloud partners such as Amazon Bedrock and Google Cloud’s Vertex AI, is aimed at attracting more developers and enterprise customers. Pricing for inputs above 200,000 tokens has risen, and the company highlights the benefit of a larger “effective context window” for long‑duration coding tasks. Anthropic positions the move as a response to competitive pressures from OpenAI’s GPT‑5 and other large‑context models. Read more →

OpenAI has released two open-weight large language models, gpt-oss-120B and gpt-oss-20B, and made them available through Amazon Web Services’ Bedrock and SageMaker platforms. The models run on modest hardware, with the larger model operating on a single 80 GB GPU and the smaller model requiring only 16 GB of memory. Licensed under Apache 2.0, they aim to lower barriers for developers and support high‑security or resource‑constrained environments. Integrated with Amazon Bedrock AgentCore, the models support AI agents, a 128K context window, and popular developer tools. Read more →