LLMs1 min read
Rebuilding AUTOMATIC1111 with Gradio Workflow
Hugging Face blog published Rebuilding AUTOMATIC1111 with Gradio Workflow.
From Hugging Face blog
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LLMs1 min read
Hugging Face blog published Rebuilding AUTOMATIC1111 with Gradio Workflow.
From Hugging Face blog
Models1 min read
The Agents API provides a managed service for building and deploying cloud agents. It utilizes Codex for orchestration, supports long-running sessions, and enables tool use for enhanced functionality.
From OpenAI news
How this blog is made
Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace.
Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run the same pipeline yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.
August 2026 saw key updates across Amazon Bedrock, AgentCore, and Strands, including expanded context windows, cross-region inference, and longer-running agents. These improvements enhance the capabilities for AI builders.
From AWS machine learning blog
Agents1 min read
Heurist Finance developed a conversational AI investment workbench on Amazon Bedrock AgentCore, leveraging AgentCore’s capabilities for premium data access, sandboxed analysis, and auditability. This customer story demonstrates a small team’s approach to building an AI-native investment tool.
From AWS machine learning blog
Agents1 min read
HPE Zerto created an agentic troubleshooting system using Amazon Bedrock, deployed on-premises with Strands Agents. This allows for grounding agents in live disaster recovery data for improved troubleshooting.
From AWS machine learning blog
LLMs1 min read
The strongest argument I see for continuing to train much smarter models quickly is the need to build defensive systems against the dangers posed by other AI. [...] We will need powerful, aligned AI for defense; to secure infrastructure,...
From Simon Willison
LLMs1 min read
Tool: Mercator ↔ Equal Earth I got curious about the Equal Earth map projection that was recently voted on at the UN so I had GPT-6 Astra (medium) in ChatGPT Work build me this animated transition between Mercator and Equal Earth using D...
From Simon Willison
Research1 min read
The $ au^ au$-bench evaluates agent building from real business data, requirements, and APIs, measuring performance across multiple tasks to reflect real client engagement conditions.
From arXiv cs.AI
LLMs1 min read
NVIDIA NemoClaw introduces a memory-driven approach for AI agents managing enterprise messages, decisions, and obligations, enhancing context reconstruction over time.
From NVIDIA technical blog
Agents1 min read
A continuous pipeline for building physical AI systems is demonstrated using NVIDIA Cosmos 3 on SageMaker HyperPod, focusing on synthetic data, training, and evaluation with GPU goodput as a key metric.
From AWS machine learning blog
Agents1 min read
Guidelines for developing production-grade, agent-based business process automations using Amazon Quick Automate, focusing on process selection, agent design, and evaluation.
From AWS machine learning blog
LLMs1 min read
Meta AI has developed an AI agent that learns from domain experts, creating a ‘second brain’ for organizational knowledge. The system uses a structured knowledge architecture and a self-improvement loop to permanently capture and share specialist insights without model retraining.
From Meta AI engineering
Agents1 min read
Atos upskilled 400 engineers in agentic AI via a three-day AWS-based event focused on building multi-agent systems, emphasizing practical learning for enterprise deployment.
From AWS machine learning blog
LLMs1 min read
Wrapture builds on wrapt to enable tracing and overriding functions for testing and observability, with support for OpenTelemetry and configuration-based tracing in Python projects.
From Simon Willison
Research1 min read
The Planetary Prediction Engine (PPE) automates the entire geospatial modeling workflow, from data discovery to model training, significantly reducing prediction build times. This system improves prediction accuracy across public health, food security, and environmental risk tasks by autonomously synthesizing data and generating reports.
From Google Research blog
Research1 min read
Gemini Omni 1.1 Flash introduces new capabilities for building with greater control, aimed at developers managing models and agents.
From Google DeepMind blog
Agents2 min read
LangChain rebuilt its chatbot using an internal agent system to address support inefficiencies. The new architecture combines documentation, knowledge base, and codebase analysis for comprehensive answers, improving response times and reducing debugging time.
From LangChain blog
Agents2 min read
LangChain announces LangGraph v0.1, a framework for building robust agentic systems with fine-grained control, and LangGraph Cloud, infrastructure for scalable agent deployment with integrated monitoring and debugging capabilities.
From LangChain blog
Agents1 min read
LangChain is hosting the first AI Agent Conference, Interrupt, on May 13-14 in San Francisco. The event includes workshops, keynotes, and networking opportunities for builders working with AI agents.
From LangChain blog
Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.
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