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Meet Trackio: The Free, Local-First, Open-Source Experiment Tracker Python Library that Simplifies and Enhances Machine Learning Workflows Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Experiment tracking is an essential part of modern machine learning workflows. Whether you’re tweaking hyperparameters, monitoring training metrics, or collaborating with colleagues, it’s crucial to have robust, flexible tools that make tracking experiments straightforward and insightful. However, many existing experiment tracking solutions require complex… Read More »Meet Trackio: The Free, Local-First, Open-Source Experiment Tracker Python Library that Simplifies and Enhances Machine Learning Workflows Asif Razzaq Artificial Intelligence Category – MarkTechPost

Introducing Amazon Bedrock AgentCore Browser Tool Veda Raman Artificial Intelligence

​[[{“value”:” At AWS Summit New York City 2025, Amazon Web Services (AWS) announced the preview of Amazon Bedrock AgentCore browser tool, a fully managed, pre-built cloud-based browser. This tool enables generative AI agents to interact seamlessly with websites. It addresses two fundamental limitations: first, foundation… Read More »Introducing Amazon Bedrock AgentCore Browser Tool Veda Raman Artificial Intelligence

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