PLAID is a multimodal generative model that simultaneously generates protein 1D sequence and 3D structure, by learning the latent space of protein folding models. The awarding of the 2024 Nobel Prize to AlphaFold2 marks an important moment of recognition for the of AI role in biology. What comes next after protein folding? In PLAID, we […]
Repurposing Protein Folding Models for Generation with Latent Diffusion Read More »
Today, we’re excited to announce the availability of Llama 4 Scout and Maverick models in Amazon SageMaker JumpStart and coming soon in Amazon Bedrock. Llama 4 represents Meta’s most advanced multimodal models to date, featuring a mixture of experts (MoE) architecture and context window support up to 10 million tokens. With native multimodality and early fusion
Llama 4 family of models from Meta are now available in SageMaker JumpStart Read More »
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies and AWS. Amazon Bedrock Knowledge Bases offers fully managed, end-to-end Retrieval Augmented Generation (RAG) workflows to create highly accurate, low-latency, secure, and custom generative AI applications by incorporating contextual information from your company’s data sources.
Prompt caching, now generally available on Amazon Bedrock with Anthropic’s Claude 3.5 Haiku and Claude 3.7 Sonnet, along with Nova Micro, Nova Lite, and Nova Pro models, lowers response latency by up to 85% and reduces costs up to 90% by caching frequently used prompts across multiple API calls. With prompt caching, you can mark
Effectively use prompt caching on Amazon Bedrock Read More »
Developing generative AI agents that can tackle real-world tasks is complex, and building production-grade agentic applications requires integrating agents with additional tools such as user interfaces, evaluation frameworks, and continuous improvement mechanisms. Developers often find themselves grappling with unpredictable behaviors, intricate workflows, and a web of complex interactions. The experimentation phase for agents is particularly
New research from Stanford suggests artificial intelligence isn’t ruled by just OpenAI and Google, as competition increases across the US, China, and France.
The AI Race Has Gotten Crowded—and China Is Closing In on the US Read More »
While the White House carved out a narrow exemption for some semiconductor imports, President Donald Trump’s sweeping tariffs still apply to GPUs and chipmaking equipment.
Trump’s Tariffs Are Threatening the US Semiconductor Revival Read More »
In the drive to remain competitive, businesses today are turning to AI to help them minimize cost and maximize efficiency. It’s incumbent on them to find the most suitable AI model—the one that will help them achieve more while spending less. For many businesses, the migration from OpenAI’s model family to Amazon Nova represents not
Prompting for the best price-performance Read More »
A DOGE operative at the Department of Veterans Affairs appears to be trying to use an AI tool to write code for the agency’s systems, among other proposals.
Inside DOGE’s AI Push at the Department of Veterans Affairs Read More »
Organizations deploying generative AI applications need robust ways to evaluate their performance and reliability. When we launched LLM-as-a-judge (LLMaJ) and Retrieval Augmented Generation (RAG) evaluation capabilities in public preview at AWS re:Invent 2024, customers used them to assess their foundation models (FMs) and generative AI applications, but asked for more flexibility beyond Amazon Bedrock models
