At AWS re:Invent in Las Vegas, Amazon Web Services (AWS) has announced exciting updates to Amazon Bedrock, its platform for creating and running AI applications.
“One of the hardest parts was figuring out how much we could fit in,” resonated AWS chief Matt Garman, reflecting on the sheer scale of advancements in Bedrock. “Fortunately, Swami will dive deeper into a ton more during his keynote tomorrow.”
Garman said that Bedrock is by far the easiest way to build and scale generative AI applications.
One big addition to Bedrock includes Automated Reasoning Checks, a tool designed to stop AI from making factual mistakes, aka hallucinations. This is especially useful for industries like healthcare and finance, where accuracy is critical. “Automated reasoning checks prevent factual errors due to model hallunciations,” said Garman.
AWS further claimed that it helps ensure AI provides correct and trustworthy answers without needing advanced AI expertise.
For example, PwC is using Automated Reasoning checks to build accurate, trustworthy AI assistants and agents to drive its clients’ businesses to the leading edge.
In addition to this, AWS announced the launch of Model Distillation. This lets users shrink large AI models into smaller ones without losing much accuracy. Smaller models are faster and cheaper to run. “Model Distillation in Bedrock delivers models that are 500% faster and 75% cheaper,” shared Garman.
For instance, Robin AI is already using this to save money while providing quick, accurate answers for legal questions.
With Amazon Bedrock Model Distillation, customers can choose the optimal model for their use case and a smaller model from the same family, balancing application latency with cost efficiency. The company claimed that it works best with models from Anthropic and Meta, alongside its latest in-house Nova-series of models.
“With a broad selection of models, leading capabilities that make it easier for developers to incorporate generative AI into their applications, and a commitment to security and privacy, Amazon Bedrock has become essential for customers who want to make generative AI a core part of their applications and businesses,” said Dr. Swami Sivasubramanian, vice president of AI and Data at AWS.
AWS also showcased Bedrock’s ability to manage and coordinate multiple AI agents for large-scale, complex workflows. “Bedrock agents can now support complex workflows with agent collaboration, enabling seamless coordination for sophisticated tasks,” shared Garman.
Moody’s uses Amazon Bedrock’s multi-agent system to improve risk analysis, with each agent handling specific tasks. This makes their assessments faster and more accurate, strengthening their position as a financial leader.
What’s Next?
Garman said while generative AI is still in its early stages, Bedrock is positioning itself as a leader by offering innovative tools and models that address real-world challenges.
“This is just a sampling of the new capabilities that we’re announcing this week. Bedrock gives you the best models, the right tools, and capabilities you cannot get anywhere else,” added Garman in his keynote address on the future vision of Bedrock.
The post AWS had a Hard Time Fitting in All of Bedrock’s Innovations at re:Invent 2024 appeared first on Analytics India Magazine.
