1. Adaptive agentic intelligence framework using Strands Agents Organizations building AI agents face a common challenge: Every request, whether a routine status check or complex analysis, typically gets routed to a single large, expensive mode 10/22 05:23 ♡
2. Train Qwen3 on AWS Trainium with torchtitan Using torchtitan on AWS Trainium means using it the way you always have. TorchNeuron registers Trainium as a native PyTorch device, which lets torchtitan use it through standard Py 10/22 04:00 ♡
3. How U.S. Hunger connects leaders and data using Amazon Quick For U.S. Hunger, feeding families takes more than delivering food to them. It takes understanding the people behind each request, the pressures they face, and the business that mak 10/22 03:19 ♡
4. Beyond the KV cache: Training and serving i14’s Laplace 3B linear attention model on AWS Trainium2 with native PyTorch Most large language models (LLMs) use transformer architectures with softmax attention. During inference, their key-value (KV) cache grows with the conversation or document context 10/21 05:14 ♡
5. Work management context for AI agents with Smartsheet MCP on AWS AI agents are most useful when they can act on the real work happening across your organization. Work management involves complex, cross-functional tasks such as updating project t 10/21 01:59 ♡
6. From data to decisions: Conversational supply chain intelligence with Amazon Quick and Amazon Bedrock AgentCore Giving supply chain teams direct access to the systems behind their decisions. Every supply chain generates constant signals: orders in approval, shifting lead times, slowing ports 10/21 01:52 ♡
7. Fine-tuning GPT-OSS-20B for multilingual reasoning on Amazon SageMaker HyperPod GPT-OSS-20B is an open-weight reasoning model that thinks in English. Ask it to reason in French, German, Spanish, or Italian and it acknowledges the instruction, then produces its 10/21 01:48 ♡
8. How Octave built a secure multi-tenant AI foundation on Amazon Bedrock In quality management for regulated industries, the institutional memory that resolves a problem is almost always buried somewhere in a customer’s history. A similar defect investi 10/21 01:34 ♡
9. Access OpenAI GPT models on Amazon Bedrock from Canada with cross-Region inference Canadian organizations building generative AI applications on Amazon Bedrock often need the latest foundation models (FMs), such as OpenAI GPT-6.1, OpenAI GPT-6, and GPT-5.6, acces 10/21 00:42 ♡
10. Discover tools at runtime with AWS Agent Registry Runtime discovery with AWS Agent Registry can help address a problem that agent demos might hide. Hardcoded tools work fine for a handful, start to degrade at a few dozen, and beco 10/21 00:22 ♡
