Tag: AWS

Showing 1-3 of 3

Jun 18, 20268 min readAgent PlaybookIntermediate240 min build

Deploying LeRobot-format Datasets from the Hugging Face Hub to Physical Robots with Strands Agents

Walkthrough showing how Strands Robots composes LeRobot AgentTools to take LeRobot-format demos on Hugging Face Hub through simulation, rollout gating and a supervised canary on real robots.

Strands LeRobot Hugging Face Hub robotics sim-to-real

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TutorialsFrance

Open

May 23, 20267 min readTooling Deep DiveIntermediate240 min build

AWS infrastructure patterns for foundation-model training and inference

Practical AWS blueprint for foundation-model training and inference: combine accelerator-backed compute, high-bandwidth network, durable object storage, Slurm/EKS orchestration, and metrics.

AWS foundation-models distributed-training inference orchestration

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Slurm Kubernetes storage

NewsUnited Kingdom

Open

May 02, 20266 min readAgent PlaybookIntermediate

AWS Strands Agents: an agent-to-tool design that cut LLM token use by ~96%

An AWS Strands Agents design moved extraction, summarization and caching out of prompts into deterministic tools, cutting measured LLM token use by ~96% and lowering costs, privacy risk.

AWS Strands agents token-usage cost-optimization

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LLM-ops privacy tooling