Nous Research's Hermes Agent introduces Tool Search to address AI agent system bottlenecks caused by excessive MCP tools. Tool Search optimizes tool loading, improving accuracy and reducing costs, with significant accuracy improvements shown in internal evaluations by Anthropic.
Liquid AI released LFM2. 5-8B-A1B, a sparse MoE model for tool calling. The reasoning-only model boasts improved performance across various benchmarks.
Robotics is evolving with NVIDIA Research showcasing simulation-to-real transfer for robots to adapt and operate reliably in dynamic environments. Innovations include multi-arm coordination with ScheduleStream and COMPASS policy framework for diverse robot embodiments, achieving significant improvements in success rates.
Amazon SageMaker MLflow offers comprehensive ML experiment tracking and model management capabilities. Enterprises can securely integrate MLflow with existing systems using a Flask-based proxy service, ensuring compliance and reducing complexity.
Machine learning models predict values like income from sex, age, state, and politics. Imputing missing data for predictions can lead to misleading results in machine learning.
Agent evaluation is enhanced by combining online signals with offline baselines in Amazon Bedrock AgentCore. Versioned datasets provide stable inputs for consistent measurement and ground truth for verifiable results in agent evaluation.
Azercell Telecom collaborates with AWS to build Azerbaijani large language model (LLM) and chatbot, achieving significant optimizations and improvements. Framework on Amazon SageMaker AI delivers higher training throughput, lower memory usage, and doubled text capacity, offering insights for working with complex languages.
GeForce NOW launches 007 First Light, offering members James Bond's origin story with a free Elite Outfit. Experience high-quality cloud gaming with new games and exclusive rewards, including Resident Evil Requiem demo.
MIT and Massachusetts will establish the Quantum Systems Laboratory (QSL) to advance quantum research and innovation. The QSL will be a cutting-edge facility supporting transformative quantum technologies in various practical domains.
Practicing coding skills, a developer tests a gradient boost regression model on the Diabetes Dataset, highlighting the clever technique behind this ensemble model. Implementing 100 decision trees in C#, the developer explores the subtle yet effective approach of predicting residuals to enhance accuracy.
Sakana AI and University of Tokyo propose DiffusionBlocks, reducing memory usage in neural network training. Residual connections mimic Euler steps, enabling independent training of each block.
Amazon Bedrock Data Automation streamlines data extraction from financial documents with custom blueprints for accuracy and efficiency. Foundation models like Anthropic Claude enhance OCR capabilities for structured, actionable data extraction.
Researchers from National University of Singapore and MIT propose MEMO to integrate new knowledge into large language models without degrading previous knowledge. MEMO separates memory and reasoning, training a separate MEMORY model to internalize knowledge from a corpus, enhancing transferability across models.
Field Advisor on Amazon Bedrock AgentCore streamlines agent orchestration for AWS Sales, reducing cognitive load and improving customer interactions. This internal conversational assistant enhances productivity by routing requests to specialized agents, enabling sales reps to focus on customer needs.
NVIDIA introduces Polar, a framework for reinforcement learning in language agents. Polar simplifies integration with existing agent software, allowing researchers to run reinforcement learning without modifying the agent harness.