From data to decisions: Conversational supply chain intelligence with Amazon Quick and Amazon Bedrock AgentCore
TutoSartup excerpt from this article:
The orchestration agent is added as its own MCP connector... How we solve it: the agent plans and sequences the calls, so a single ask spans disruption, governance, and quoting with no manual hand-offs... How we solve it: the same agent and tools run on a schedule or email trigger, posting review-ready cards to the Activity Feed for a person to approve... Figure 4: End-to-end architecture fro...
The orchestration agent is added as its own MCP connector... How we solve it: the agent plans and sequences the calls, so a single ask spans disruption, governance, and quoting with no manual hand-offs... How we solve it: the same agent and tools run on a schedule or email trigger, posting review-ready cards to the Activity Feed for a person to approve... Figure 4: End-to-end architecture fro...
Fine-tuning GPT-OSS-20B for multilingual reasoning on Amazon SageMaker HyperPod
TutoSartup excerpt from this article:
On a 50-example multilingual reasoning test, the base model reasoned in the correct target language only 22 percent of the time... The model receives a reasoning language: system-prompt instruction and must both reason and answer in that target language, overriding its strong English prior... The evaluation is 50 test cases: 10 math/logic problems across 5 languages (EN/FR/DE/ES/IT)... Two metric...
On a 50-example multilingual reasoning test, the base model reasoned in the correct target language only 22 percent of the time... The model receives a reasoning language: system-prompt instruction and must both reason and answer in that target language, overriding its strong English prior... The evaluation is 50 test cases: 10 math/logic problems across 5 languages (EN/FR/DE/ES/IT)... Two metric...
Introducing Amazon ECS Gateway: A fully-managed ingress solution for ECS services
TutoSartup excerpt from this article:
Platform teams create and configure a gateway, defining organizational networking standards including subnets, security groups, TLS certificates, listener settings, and WAF web ACLs, in a single place... They then associate the gateway with one or more ECS clusters, making it available to services running on those clusters... Application teams opt their services in by adding a gateway connecto...
Platform teams create and configure a gateway, defining organizational networking standards including subnets, security groups, TLS certificates, listener settings, and WAF web ACLs, in a single place... They then associate the gateway with one or more ECS clusters, making it available to services running on those clusters... Application teams opt their services in by adding a gateway connecto...
Energy Stocks Lead This Year, But Tech Still Drives the S&P 500
TutoSartup excerpt from this article:
The US stock market is on track for a fourth consecutive year of double-digit gains, but the sector leading the performance race is not necessarily driving the market... Yet tech remains the primary force behind the S&P 500’s advance because it carries a much larger weight than energy in the market-cap-weighted index...The market, in other words, is still heavily dependent on technology, a...
The US stock market is on track for a fourth consecutive year of double-digit gains, but the sector leading the performance race is not necessarily driving the market... Yet tech remains the primary force behind the S&P 500’s advance because it carries a much larger weight than energy in the market-cap-weighted index...The market, in other words, is still heavily dependent on technology, a...
Pegasus 1.5 from TwelveLabs is now available in Amazon Bedrock
TutoSartup excerpt from this article:
You describe the moments that matter to your workflow, and the model returns every matching segment as JSON...5 analyzes the entire video, finds every segment that matches user-defined criteria, and returns structured, timestamped metadata... It also introduces video segmentation, multimodal prompting with reference images, and on-the-fly processing... We then walk through video segmentation, str...
You describe the moments that matter to your workflow, and the model returns every matching segment as JSON...5 analyzes the entire video, finds every segment that matches user-defined criteria, and returns structured, timestamped metadata... It also introduces video segmentation, multimodal prompting with reference images, and on-the-fly processing... We then walk through video segmentation, str...
How Deepgram optimized voice AI at scale with AWS Trainium
TutoSartup excerpt from this article:
In this post, we walk through the full inference optimization effort on Trainium: porting Nova-3 to the AWS Neuron software stack, the kernel-level tuning that followed, the data-parallel Rust runtime that lets Deepgram’s own model server call Trainium, and the throughput and cost results we measured on batch transcription... From that working baseline, we kicked off the optimization work by re...
In this post, we walk through the full inference optimization effort on Trainium: porting Nova-3 to the AWS Neuron software stack, the kernel-level tuning that followed, the data-parallel Rust runtime that lets Deepgram’s own model server call Trainium, and the throughput and cost results we measured on batch transcription... From that working baseline, we kicked off the optimization work by re...
Push-based KV transfer to improve TTFT and TPOT for disaggregated inference in vLLM
TutoSartup excerpt from this article:
LLM inference has two distinct phases: prefill, which processes the input prompt and builds the key-value (KV) cache, and decode, which uses that cache to generate output one token at a time... Prefill-decode (P-D) disaggregation runs them on separate engine instances, allowing each phase to scale and be optimized independently... However, it also requires transferring the KV cache from the prefi...
LLM inference has two distinct phases: prefill, which processes the input prompt and builds the key-value (KV) cache, and decode, which uses that cache to generate output one token at a time... Prefill-decode (P-D) disaggregation runs them on separate engine instances, allowing each phase to scale and be optimized independently... However, it also requires transferring the KV cache from the prefi...