[[{“value”:” Thomas Wolf’s blog post “The Einstein AI Model” is a must-read. He contrasts his thinking about what we need from AI with another must-read, Dario Amodei’s “Machines of Loving Grace.”1 Wolf’s argument is that our most advanced language models aren’t creating anything new; they’re… Read More »AI and the Structure of Scientific Revolutions Mike Loukides AI & ML – Radar
Machine learning has become an essential tool for solving complex problems across various domains, from finance to healthcare. Machine learning has become an essential tool for solving complex problems across various domains, from finance to healthcare. Read More
[[{“value”:” Amazon SageMaker JumpStart is a machine learning (ML) hub that provides pre-trained models, solution templates, and algorithms to help developers quickly get started with machine learning. Within SageMaker JumpStart, the private model hub feature allows organizations to create their own internal repository of ML… Read More »Amazon SageMaker JumpStart adds fine-tuning support for models in a private model hub Marc Karp AWS Machine Learning Blog
[[{“value”:” In the competitive world of game development, staying ahead of technological advancements is crucial. Generative AI has emerged as a game changer, offering unprecedented opportunities for game designers to push boundaries and create immersive virtual worlds. At the forefront of this revolution is Stability… Read More »Generative AI-powered game design: Accelerating early development with Stability AI models on Amazon Bedrock Isha Dua AWS Machine Learning Blog
Data augmentation is crucial to make machine learning models more robust and safe. However, augmenting data can be challenging as it requires generating diverse data points to rigorously evaluate model behavior on edge cases and mitigate potential harms. Creating high-quality augmentations that cover these “unknown… Read More »Exploring Empty Spaces: Human-in-the-Loop Data Augmentation Apple Machine Learning Research
[[{“value”:” Amazon Bedrock announces the preview launch of Session Management APIs, a new capability that enables developers to simplify state and context management for generative AI applications built with popular open source frameworks such as LangGraph and LlamaIndex. Session Management APIs provide an out-of-the-box solution… Read More »Amazon Bedrock launches Session Management APIs for generative AI applications (Preview) Jagdeep Singh Soni AWS Machine Learning Blog
[[{“value”:” Deploying models efficiently, reliably, and cost-effectively is a critical challenge for organizations of all sizes. As organizations increasingly deploy foundation models (FMs) and other machine learning (ML) models to production, they face challenges related to resource utilization, cost-efficiency, and maintaining high availability during updates.… Read More »Enhance deployment guardrails with inference component rolling updates for Amazon SageMaker AI inference Melanie Li AWS Machine Learning Blog
Gemini 2.5 is our most intelligent AI model, now with thinking built in. Gemini 2.5 is our most intelligent AI model, now with thinking built in. Read More
[[{“value”:” Amazon Bedrock Knowledge Bases is a fully managed capability that helps implement entire Retrieval Augmented Generation (RAG) workflows from ingestion to retrieval and prompt augmentation without having to build custom integrations to data sources and manage data flows. There is no single way to… Read More »Evaluate and improve performance of Amazon Bedrock Knowledge Bases Clement Perrot AWS Machine Learning Blog
[[{“value”:” Since Amazon Q Business became generally available in 2024, customers have used this fully managed, generative AI-powered assistant to enhance their productivity and efficiency. The assistant enables users to answer questions, generate summaries, create content, and complete tasks using enterprise data. Today’s workforce faces… Read More »Enhance enterprise productivity for your LLM solution by becoming an Amazon Q Business data accessor Takeshi Kobayashi AWS Machine Learning Blog