Llmspeed Lets Developers Test Local LLM Performance Before Hardware Purchase

DeepSeek Harness: Everything is a Plugin.

github | stars 252,016

Trending AI model on Hugging Face — image-text-to-text.

🤗huggingface

Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right…

github | stars 33,251

Trending AI model on Hugging Face — text-to-image.

🤗huggingface

为 DeepSeek Harness (DSH) 插件生态打造的现代化桌面端解决方案。万物皆「插件」，桌面本身也是「插件」。

github | stars 31,258

Which chunking strategy are you running in production?

blog.bytebytego

Fresh Show HN launch.

cuore

Top Hacker News discussion.

github

Large language model (LLM)-based agents and multi-agent systems increasingly tackle complex tasks through long-horizon tool use and inter-agent collaboration. However, these systems are prone to deviating from the overa…

arxiv

The capabilities of an agent swarm depend on both its individual members and how they coordinate. Yet existing multi-agent systems often train agents within fixed orchestration structures, separating the learning of ind…

arxiv

Existing agent benchmarks typically evaluate agents on well-specified tasks defined by issue reports, specifications, or task tickets. Real-world customer delivery is different: forward-deployed engineers (FDEs) must cl…

arxiv

Keep your domain services distributed. Move the specialist’s instructions, not another model, into the orchestrator. A multi-agent system often starts with a straightforward design: one agent understands the user’s requ…

devblogs.microsoft

Learn how Orange Business used LangChain and LangSmith to build Live Intelligence, a governed AI platform for agents, evals, observability, and production scale.

langchain

Over the past year, I’ve focused heavily on AI Evals , both in my consulting work and teaching. A question I get constantly is, “What’s the best tool for evals?”. I’ve always resisted answering directly for two reasons.…

hamel

Autonomous AI agents fail softly: latency stays flat while answer quality quietly erodes. This post shares a nine-stage evaluation framework, built on Amazon Bedrock AgentCore, that catches silent quality regressions ac…

aws.amazon

Meta Platforms Inc. today released open weights for its Muse Spark artificial intelligence model, which had been proprietary since its April debut. The release, called Muse Spark Open, is built for coding and long-runni…

siliconangle

AWS has introduced two open-source projects for AI agent development: Strands Decider 2B, a small model designed to make decisions within agent workflows, and Strands Box, a sandbox for controlling agent execution. Both…

infoq