1. Pegasus 1.5 from TwelveLabs is now available in Amazon Bedrock On Oct 9, 2026 we announced the availability of TwelveLabs’ Pegasus 1.5 on Amazon Bedrock . Pegasus 1.5 is a video language model that turns long-form video into structured, timest 10/20 00:49 ♡
2. How Deepgram optimized voice AI at scale with AWS Trainium As voice becomes a first-class modality for AI, Deepgram’s models span speech-to-text, text-to-speech, and voice agents. They now process quadrillions of audio tokens a year for mo 10/20 00:23 ♡
3. Push-based KV transfer to improve TTFT and TPOT for disaggregated inference in vLLM vLLM is an open-source inference and serving engine for large language models (LLMs). LLM inference has two distinct phases: prefill, which processes the input prompt and builds th 10/20 00:05 ♡
4. Improve TTFT for multi-turn agentic workloads with bi-directional KV transfer in vLLM Multi-turn agentic workloads build on accumulated context as an agent reasons, invokes tools, and incorporates earlier results. With each new turn, the client resends the conversat 10/20 00:03 ♡
5. Building trust in AI agents: A production-ready evaluation framework with Amazon Bedrock AgentCore The North Star Every organization racing to deploy AI agents faces the same reckoning: an agent that demos beautifully can quietly degrade in production, and by the time a human no 10/17 04:48 ♡
6. Introducing Reflection Beam: an open-weight model for agentic coding on AWS Reflection AI introduced Beam, an open-weight model for agentic coding and long-horizon tasks such as maintaining code, using tools, interpreting results, and completing multi-step 10/16 23:23 ♡
7. Meta’s Muse Spark Open now available in Amazon SageMaker JumpStart Muse Spark Open, Meta’s coding-optimized open-weight model, is now available in Amazon SageMaker JumpStart , the machine learning (ML) hub of Amazon SageMaker AI . The model was tr 10/16 01:43 ♡
8. Trust in Depth: Giving agents more autonomy without losing control In every conversation I have with enterprise leaders, they say the same thing. They want agents to do more, but they don’t trust them to do it right all the time. That’s fair. The 10/15 23:05 ♡
9. Build self-improving document processing using Amazon Bedrock AgentCore IDC research shows that document-related challenges cost organizations $19,732 for each information worker annually and reduce productivity by 21.3 percent. Organizations receiving 10/15 00:24 ♡
10. Generate presentations with Amazon Bedrock AgentCore A financial services team spends significant time each week manually creating client PowerPoint presentations from quarterly reports, compliance documents, and market analyses. Eac 10/14 21:58 ♡
