Deploy Local Agents Everywhere with LFM2.5-2.6B
Discover how LFM2.5-2.6B enables lightweight, privacy-preserving AI agents on edge devices. This compact model delivers strong reasoning a...
41 articles
Discover how LFM2.5-2.6B enables lightweight, privacy-preserving AI agents on edge devices. This compact model delivers strong reasoning a...
AI is transforming analytics, but instead of fearing it, I leverage it as a co-pilot. By focusing on strategic thinking, data storytelling...
This article explores a novel loop engineering experiment where context management occurs entirely outside the LLM, revealing critical ins...
NVIDIA's Nemotron-3-8B-Embedding model achieves the top ranking on the Retrieval Text Embedding Benchmark (RTEB), setting a new standard f...
Lessons from developing Shippy, an AI agent for logistics, reveal that modular design, human-in-the-loop validation, and handling real-wor...
Ranking AI agent configurations by average score can be misleading. Learn why this metric hides critical failures and discover better eval...
The ReAct loop combines reasoning and acting to enable AI agents to solve complex tasks iteratively. By alternating between thought, actio...
Rising costs from AI coding agents can drain your budget. Learn practical strategies to audit usage, optimize prompts, and switch to cost-...
OpenWiki is a new open source AI agent that automatically generates, updates, and maintains documentation for code repositories. It integr...
ScarfBench introduces a standardized benchmark to evaluate AI agents on migrating enterprise Java frameworks. It tests code refactoring, d...
Learn how to build and deploy a custom AI agent on cloud infrastructure. This guide covers architecture, tooling, and practical steps for...
Explore the risks and strategies for executing untrusted AI agent code without sandboxing, including isolation techniques, monitoring, and...
Dynamic subagents enhance AI agent systems by enabling real-time delegation of specialized tasks. This modular approach improves scalabili...
Reliable AI agents often fail due to over-engineering the 'head' (reasoning). Tail control flips this: by constraining the agent's actions...
Discover why top-performing AI agents rely on minimalistic design, clear prompts, and smart tool use instead of complex architectures. Sim...
Prompt caching reduces latency and cost in AI agents by storing and reusing processed prompts. This technique enables faster multi-step re...
Learn how to transform a local large language model into a powerful agent by integrating external tools like web search, APIs, and code ex...
Learn how to run three AI agents with separate LLMs simultaneously on a single outdated GPU. This article covers bare-metal parallel infer...
Learn how to equip AI agents with memory using vector databases, conversation history, and structured storage. Practical techniques for pe...
Discover why a single AI agent fell short for complex tasks and how a multi-agent pipeline improved accuracy, reliability, and efficiency...
Discover how CUGA, a lightweight harness, powers two dozen practical agentic applications. Learn to build autonomous AI agents with code e...
Discover how AI agents use tool calling to decide their next action. This article breaks down the decision-making process, from function s...
MosaicLeaks reveals how AI research agents can inadvertently reconstruct sensitive information from fragmented data. This article explores...
Learn how to evaluate open-source AI agents for autonomy and task completion using custom benchmarks. A practical guide for researchers an...
Many developers rush to adopt complex agent frameworks, but often a simple loop with an LLM suffices. This article explains when to skip t...
Agentic Resource Discovery empowers AI agents to autonomously search, evaluate, and retrieve resources like APIs, datasets, or tools. This...
Discover how Strands Agents and LeRobot bridge the gap between AI models on Hugging Face Hub and real-world robot hardware, enabling seaml...
Fleet combines general-purpose chat with specialized AI agents to balance broad assistance and domain-specific expertise, enhancing user p...
Explore the latest breakthroughs in AI research, from self-supervised learning to neuro-symbolic systems, and discover how these advances...
AI research is rapidly evolving beyond deep learning into areas like neuromorphic computing and causal inference, promising more efficient...
Learn to create a flexible agent harness that orchestrates AI models, tools, and memory. This guide covers architecture, implementation st...
Selecting the ideal sandbox for your AI agent ensures safe experimentation and robust performance. This guide compares isolation levels, s...
A clear and practical article about artificial intelligence for a professional audience.
A clear and practical article about artificial intelligence for a professional audience.
A clear and practical article about artificial intelligence for a professional audience.
A clear and practical article about artificial intelligence for a professional audience.
A clear and practical article about artificial intelligence for a professional audience.
A clear and practical article about artificial intelligence for a professional audience.
A clear and practical article about artificial intelligence for a professional audience.
A clear and practical article about artificial intelligence for a professional audience.
A practical framework for introducing AI agents into daily work with clear task boundaries, human review, and proportional risk controls.