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AWS researchers have developed a new method for designing an automated RAG evaluation mechanism that could help enterprises build apps faster and reduce costs.
Amazon Q Developer works well for completing lines of code, doc strings, and if/for/while/try code blocks, but can’t generate full functions for certain use cases.
The updates include new large language models and a capability to import custom models, which is currently in preview.
Customer demand for more efficient methods and faster online data transfer capabilities have led AWS to exit the data trucking business.
The Redis license change hurts no one except AWS and other cloud giants. If they gave back a little, they wouldn’t need watered-down forks.
Tool for OutSystems Developer Cloud allows users to build AI agents using models from Azure OpenAI or Amazon Bedrock without any coding.
AI coding tools such as Amazon CodeWhisperer and GitHub Copilot boost the productivity of pro and novice developers alike. They’re only the beginning.
Amazon Bedrock smooths the path to building generative AI apps with prompt engineering and RAG, providing a good assortment of text, chat, and image-based foundation models.
Amazon simplifies writing Lambda functions in C# with features like Lambda Annotations, which uses C# source generators to generate code from a REST API path. Support for .NET 8 is coming soon.
AWS researchers have published a paper that pitches a proprietary LLM-based debugger, dubbed Panda, against OpenAI’s GPT-4.