AI developers and machine learning (ML) engineers can now use the capabilities of Amazon SageMaker Studio directly from their local Visual Studio Code (VS Code). With this capability, you can use your customized local VS Code setup, including AI-assisted development tools, custom extensions, and debugging tools while accessing compute resourcesContinue Reading
Quantum computers still face a major hurdle on their pathway to practical use cases: their limited ability to correct the arising computational errors. To develop truly reliable quantum computers, researchers must be able to simulate quantum computations using conventional computers to verify their correctness – a vital yet extraordinarily difficultContinue Reading
This post is co-written by Amar Goel, co-founder and CEO of Bito. Meticulous code review is a critical step in the software development process, one that helps delivery high-quality code that’s ready for enterprise use. However, it can be a time-consuming process at scale, when experts must review thousands ofContinue Reading
Programmers can now use large language models (LLMs) to generate computer code more quickly. However, this only makes programmers’ lives easier if that code follows the rules of the programming language and doesn’t cause a computer to crash. Some methods exist for ensuring LLMs conform to the rules of whateverContinue Reading
Prompt caching in Amazon Bedrock is now generally available, delivering performance and cost benefits for agentic AI applications. Coding assistants that process large codebases represent an ideal use case for prompt caching. In this post, we’ll explore how to combine Amazon Bedrock prompt caching with Claude Code—a coding agent releasedContinue Reading
We’re excited to announce the open source release of AWS MCP Servers for code assistants — a suite of specialized Model Context Protocol (MCP) servers that bring Amazon Web Services (AWS) best practices directly to your development workflow. Our specialized AWS MCP servers combine deep AWS knowledge with agentic AIContinue Reading
Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon available through an API, so you can choose from a wide range of FMs to find the model that best suits your use case. With the Amazon Bedrock serverless experience, you canContinue Reading
The rise of large language models (LLMs) and foundation models (FMs) has revolutionized the field of natural language processing (NLP) and artificial intelligence (AI). These powerful models, trained on vast amounts of data, can generate human-like text, answer questions, and even engage in creative writing tasks. However, training and deployingContinue Reading
Generative AI is revolutionizing the way developers approach programming by providing intelligent assistance and automation throughout the coding process. With the power of advanced language models and machine learning (ML) algorithms, generative AI can understand the context and intent behind a programmer’s code, offering valuable suggestions, completing code snippets, andContinue Reading
The Anthropic’s Claude 3 family of models, available on Amazon Bedrock, offers multimodal capabilities that enable the processing of images and text. This capability opens up innovative avenues for image understanding, wherein Anthropic’s Claude 3 models can analyze visual information in conjunction with textual data, facilitating more comprehensive and contextualContinue Reading
