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Introducing the Amazon Bedrock AgentCore Code Interpreter Veda Raman Artificial Intelligence

​[[{“value”:” AI agents have reached a critical inflection point where their ability to generate sophisticated code exceeds the capacity to execute it safely in production environments. Organizations deploying agentic AI face a fundamental dilemma: although large language models (LLMs) can produce complex code scripts, mathematical… Read More »Introducing the Amazon Bedrock AgentCore Code Interpreter Veda Raman Artificial Intelligence

Observing and evaluating AI agentic workflows with Strands Agents SDK and Arize AX Karan Singh Artificial Intelligence

​[[{“value”:” This post is co-written with Rich Young from Arize AI. Agentic AI applications built on agentic workflows differ from traditional workloads in one important way: they’re nondeterministic. That is, they can produce different results with the same input. This is because the large language… Read More »Observing and evaluating AI agentic workflows with Strands Agents SDK and Arize AX Karan Singh Artificial Intelligence

Building AIOps with Amazon Q Developer CLI and MCP Server Biswanath Mukherjee Artificial Intelligence

​[[{“value”:” IT teams face mounting challenges as they manage increasingly complex infrastructure and applications, often spending countless hours manually identifying operational issues, troubleshooting problems, and performing repetitive maintenance tasks. This operational burden diverts valuable technical resources from innovation and strategic initiatives. Artificial intelligence for IT… Read More »Building AIOps with Amazon Q Developer CLI and MCP Server Biswanath Mukherjee Artificial Intelligence

Containerize legacy Spring Boot application using Amazon Q Developer CLI and MCP server Biswanath Mukherjee Artificial Intelligence

​[[{“value”:” Organizations can optimize their migration and modernization projects by streamlining the containerization process for legacy applications. With the right tools and approaches, teams can transform traditional applications into containerized solutions efficiently, reducing the time spent on manual coding, testing, and debugging while enhancing developer… Read More »Containerize legacy Spring Boot application using Amazon Q Developer CLI and MCP server Biswanath Mukherjee Artificial Intelligence

Try Deep Think in the Gemini app Google DeepMind Blog

​Deep Think utilizes extended, parallel thinking and novel reinforcement learning techniques for significantly improved problem-solving. Deep Think utilizes extended, parallel thinking and novel reinforcement learning techniques for significantly improved problem-solving.  Read More  

Falcon LLM Team Releases Falcon-H1 Technical Report: A Hybrid Attention–SSM Model That Rivals 70B LLMs Michal Sutter Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Introduction The Falcon-H1 series, developed by the Technology Innovation Institute (TII), marks a significant advancement in the evolution of large language models (LLMs). By integrating Transformer-based attention with Mamba-based State Space Models (SSMs) in a hybrid parallel configuration, Falcon-H1 achieves exceptional performance, memory efficiency,… Read More »Falcon LLM Team Releases Falcon-H1 Technical Report: A Hybrid Attention–SSM Model That Rivals 70B LLMs Michal Sutter Artificial Intelligence Category – MarkTechPost

Meet SmallThinker: A Family of Efficient Large Language Models LLMs Natively Trained for Local Deployment Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The generative AI landscape is dominated by massive language models, often designed for the vast capacities of cloud data centers. These models, while powerful, make it difficult or impossible for everyday users to deploy advanced AI privately and efficiently on local devices like laptops,… Read More »Meet SmallThinker: A Family of Efficient Large Language Models LLMs Natively Trained for Local Deployment Asif Razzaq Artificial Intelligence Category – MarkTechPost

Google AI Introduces the Test-Time Diffusion Deep Researcher (TTD-DR): A Human-Inspired Diffusion Framework for Advanced Deep Research Agents Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Deep Research (DR) agents have rapidly gained popularity in both research and industry, thanks to recent progress in LLMs. However, most popular public DR agents are not designed with human thinking and writing processes in mind. They often lack structured steps that support human… Read More »Google AI Introduces the Test-Time Diffusion Deep Researcher (TTD-DR): A Human-Inspired Diffusion Framework for Advanced Deep Research Agents Sajjad Ansari Artificial Intelligence Category – MarkTechPost

TransEvalnia: A Prompting-Based System for Fine-Grained, Human-Aligned Translation Evaluation Using LLMs Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Translation systems powered by LLMs have become so advanced that they can outperform human translators in some cases. As LLMs improve, especially in complex tasks such as document-level or literary translation, it becomes increasingly challenging to make further progress and to accurately evaluate that… Read More »TransEvalnia: A Prompting-Based System for Fine-Grained, Human-Aligned Translation Evaluation Using LLMs Sana Hassan Artificial Intelligence Category – MarkTechPost

STIV: Scalable Text and Image Conditioned Video Generation Apple Machine Learning Research

​The field of video generation has made remarkable advancements, yet there remains a pressing need for a clear, systematic recipe that can guide the development of robust and scalable models. In this work, we present a comprehensive study that systematically explores the interplay of model… Read More »STIV: Scalable Text and Image Conditioned Video Generation Apple Machine Learning Research