Nova Forge SDK: Streamlining LLM Customization on AWS
Discover Nova Forge SDK, simplifying LLM customization on AWS. Learn how to fine-tune Nova models with SFT & RFT for specialized enterprise AI, boosting accuracy from 13% to 80.6%.
Discover Nova Forge SDK, simplifying LLM customization on AWS. Learn how to fine-tune Nova models with SFT & RFT for specialized enterprise AI, boosting accuracy from 13% to 80.6%.
AWS and NVIDIA deepen collaboration, introducing new GPUs, accelerated interconnects, and enhanced AI model fine-tuning on Bedrock to power production-ready AI solutions.
Amazon Bedrock launches Global cross-Region inference for Anthropic Claude models in India, offering enhanced scalability, reliability, and throughput for generative AI applications during peak demand.
Discover how AWS’s updated Large Model Inference (LMI) container enhances LLM performance and reduces costs with LMCache, EAGLE decoding, and improved LoRA support.
Explore the AWS Well-Architected Responsible AI Lens, a guide with best practices for building trusted AI applications. Learn about its features, benefits, and how it helps mitigate risks.
Principal Financial Group boosts Amazon Lex V2 bot development by 50% using an automated CI/CD pipeline, IaC, and the Lex Test Workbench for faster, more reliable conversational AI deployments.
Discover how Kitsa used Amazon Quick Automate to achieve 91% cost savings and 96% faster data acquisition in clinical trial site selection, leveraging generative AI for data extraction and compliance.
AWS enhances AI infrastructure with SageMaker HyperPod, a revolutionary 10p10u network fabric, and custom Trainium chips, enabling faster, more cost-effective model training and deployment at scale.
AWS’s crucial role in Japan’s GENIAC program, enabling the building of large-scale foundation models. Learn key lessons and best practices for successful FM development at scale.
AWS & NVIDIA launch P6e-GB200 UltraServers & P6-B200 instances, powered by Blackwell GPUs, for large-scale AI training & inference. Choose the best fit for your workload needs.
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