​[[{“value”:” Large language models (LLMs) now stand at the center of countless AI breakthroughs—chatbots, coding assistants, question answering, creative writing, and much more. But despite their prowess, they remain stateless: each query arrives with no memory of what came before. Their fixed context windows mean… Read More »Memory-R1: How Reinforcement Learning Supercharges LLM Memory Agents Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” This post is co-written with Julieta Rappan, Macarena Blasi, and María Candela Blanco from the Government of the City of Buenos Aires. The Government of the City of Buenos Aires continuously works to improve citizen services. In February 2019, it introduced an AI assistant… Read More »Meet Boti: The AI assistant transforming how the citizens of Buenos Aires access government information with Amazon Bedrock Julieta Rappan, Macarena Blasi, María Candela Blanco, Leandro Micchele Artificial Intelligence

​[[{“value”:” Air pollution remains one of Africa’s most pressing environmental health crises, causing widespread illness across the continent. Organizations like sensors.AFRICA have deployed hundreds of air quality sensors to address this challenge, but face a critical data problem: significant gaps in PM2.5 (particulate matter with… Read More »Empowering air quality research with secure, ML-driven predictive analytics Nehal Sangoi Artificial Intelligence

​[[{“value”:” Finance analysts across Amazon Finance face mounting complexity in financial planning and analysis processes. When working with vast datasets spanning multiple systems, data lakes, and business units, analysts encounter several critical challenges. First, they spend significant time manually browsing data catalogs and reconciling data… Read More »How Amazon Finance built an AI assistant using Amazon Bedrock and Amazon Kendra to support analysts for data discovery and business insights Saikat Gomes Artificial Intelligence

​Data merging is the process of combining data from different sources into a unified dataset. Data merging is the process of combining data from different sources into a unified dataset.  Read More  

​[[{“value”:” The following article comes from two blog posts by Drew Breunig: “How Long Contexts Fail” and “How to Fix Your Contexts.” Managing Your Context is the Key to Successful Agents As frontier model context windows continue to grow,1 with many supporting up to 1… Read More »Working with Contexts Drew Breunig AI & ML – Radar

​[[{“value”:” Nous Research has released Hermes 4, a family of open-weight models (14B, 70B, and 405B parameter sizes based on Llama 3.1 checkpoints) that achieves frontier-level performance through pure post-training techniques. Hermes 4 introduces hybrid reasoning – models can toggle between standard responses and explicit… Read More »Nous Research Team Releases Hermes 4: A Family of Open-Weight AI Models with Hybrid Reasoning Asif Razzaq Artificial Intelligence Category – MarkTechPost

​When working with machine learning on structured data, two algorithms often rise to the top of the shortlist: random forests and gradient boosting . When working with machine learning on structured data, two algorithms often rise to the top of the shortlist: random forests and gradient… Read More »How to Decide Between Random Forests and Gradient Boosting Jayita Gulati MachineLearningMastery.com