Genie 3 can generate dynamic worlds that you can navigate in real time at 24 frames per second, retaining consistency for a few minutes at a resolution of 720p. Genie 3 can generate dynamic worlds that you can navigate in real time at 24 frames per… Read More »Genie 3: A new frontier for world models Google DeepMind Blog
Reinforcement learning is a relatively lesser-known area of artificial intelligence (AI) compared to highly popular subfields today, such as machine learning, deep learning, and natural language processing. Reinforcement learning is a relatively lesser-known area of artificial intelligence (AI) compared to highly popular subfields today, such as… Read More »A Gentle Introduction to Q-Learning Iván Palomares Carrascosa MachineLearningMastery.com
[[{“value”:” In today’s data-driven world, valuable insights are often buried in unstructured text—be it clinical notes, lengthy legal contracts, or customer feedback threads. Extracting meaningful, traceable information from these documents is both a technical and practical challenge. Google AI’s new open-source Python library, LangExtract, is designed… Read More »Google AI Releases LangExtract: An Open Source Python Library that Extracts Structured Data from Unstructured Text Documents Asif Razzaq Artificial Intelligence Category – MarkTechPost
[[{“value”:” Introduction Galileo is an open-source, highly multimodal foundation model developed to process, analyze, and understand diverse Earth observation (EO) data streams—including optical, radar, elevation, climate, and auxiliary maps—at scale. Galileo is developed with the support from researchers from McGill University, NASA Harvest Ai2, Carleton… Read More »NASA Releases Galileo: The Open-Source Multimodal Model Advancing Earth Observation and Remote Sensing Asif Razzaq Artificial Intelligence Category – MarkTechPost
[[{“value”:” Picture this: Your team just received 10,000 customer feedback responses. The traditional approach? Weeks of manual analysis. But what if AI could not only analyze this feedback but also validate its own work? Welcome to the world of large language model (LLM) jury systems… Read More »AI judging AI: Scaling unstructured text analysis with Amazon Nova Dr. Sreyoshi Bhaduri Artificial Intelligence
[[{“value”:” The education sector needs efficient, high-quality course material development that can keep pace with rapidly evolving knowledge domains. Faculty invest days to create content and quizzes for topics to be taught in weeks. Increased faculty engagement in manual content creation creates a time deficit… Read More »Building an AI-driven course content generation system using Amazon Bedrock Dinesh Mane Artificial Intelligence
[[{“value”:” Handmade.com is a leading hand-crafts product marketplace, offering unique, seller-contributed items to customers around the world. With over 60,000 products in the catalog and some percentage of listings containing basic descriptions that could be improved for better search and search engine optimization (SEO) performance,… Read More »How Handmade.com modernizes product image and description handling with Amazon Bedrock and Amazon OpenSearch Service Obadiah Ndhaye Artificial Intelligence
[[{“value”:” Organizations serving multiple tenants through AI applications face a common challenge: how to track, analyze, and optimize model usage across different customer segments. Although Amazon Bedrock provides powerful foundation models (FMs) through its Converse API, the true business value emerges when you can connect… Read More »Cost tracking multi-tenant model inference on Amazon Bedrock Praveen Chamarthi Artificial Intelligence
Game Arena is a new, open-source platform for rigorous evaluation of AI models. It allows for head-to-head comparison of frontier systems in environments with clear winning conditions. Game Arena is a new, open-source platform for rigorous evaluation of AI models. It allows for head-to-head comparison of… Read More »Rethinking how we measure AI intelligence Google DeepMind Blog
This post is divided into five parts; they are: • From a Full Transformer to a Decoder-Only Model • Building a Decoder-Only Model • Data Preparation for Self-Supervised Learning • Training the Model • Extensions The transformer model originated as a sequence-to-sequence (seq2seq) model that… Read More »Building a Decoder-Only Transformer Model for Text Generation Adrian Tam MachineLearningMastery.com