AWS Machine Learning Blog
Category: HAQM Nova
Build a FinOps agent using HAQM Bedrock with multi-agent capability and HAQM Nova as the foundation model
In this post, we use the multi-agent feature of HAQM Bedrock to demonstrate a powerful and innovative approach to AWS cost management. By using the advanced capabilities of HAQM Nova FMs, we’ve developed a solution that showcases how AI-driven agents can revolutionize the way organizations analyze, optimize, and manage their AWS costs.
Model customization, RAG, or both: A case study with HAQM Nova
The introduction of HAQM Nova models represent a significant advancement in the field of AI, offering new opportunities for large language model (LLM) optimization. In this post, we demonstrate how to effectively perform model customization and RAG with HAQM Nova models as a baseline. We conducted a comprehensive comparison study between model customization and RAG using the latest HAQM Nova models, and share these valuable insights.
Prompting for the best price-performance
In this blog, we discuss how to optimize prompting in HAQM Nova for the best price-performance.
Benchmarking HAQM Nova and GPT-4o models with FloTorch
A recent evaluation conducted by FloTorch compared the performance of HAQM Nova models with OpenAI’s GPT-4o. In this post, we discuss the findings from this benchmarking in more detail.