Learn to build effective AI agents in our academy: https://
dair-ai.thinkific.com Paper:
@dair_ai
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Learn to Build Effective AI Agents in Academy
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LLM-enabled Multi-Agent Systems Survey for AI Developers
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LLM-enabled Multi-Agent Systems Nice little survey on the progress in multi-agent systems. Great resources for AI devs to catch up on agents.
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Agent Drift: The Hidden Failure Mode in Multi-Agent LLM Systems
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Few know of the agent drift problem in multi-agent systems. But it is one of the most common failure modes in multi-agent LLM systems. The more agents interact with each other, the worse they get. Not because individual models are weak. Because it's typical that something
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Memory Systems for Long-Horizon Coding Agent Reasoning
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On building memory systems for long-horizon reasoning tasks. This is a really important topic, especially for improving coding agents like Claude Code. Current Memory-Augmented Generation approaches rely on semantic similarity over monolithic memory stores. Everything gets
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Build Effective AI Agents in DAIR-AI Academy
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Learn to build effective AI agents in our academy: https://
dair-ai.thinkific.com
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The Path Ahead for Agentic AI
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The Path Ahead for Agentic AI Great concise recap on the challenges and opportunities around agentic AI.
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Build Effective AI Agents in DAIR-AI Academy
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Learn to build effective AI agents in our academy: https://
dair-ai.thinkific.com
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Normalization-Free Transformers: Point-wise Function Innovation
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10. Stronger Normalization-Free Transformers A simple point-wise function that replaces normalization layers in Transformers.
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SHARP Generates Photorealistic Novel Viewpoints From Single Image
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8. SHARP Generates photorealistic novel viewpoints from a single photograph in under one second on standard GPU hardware.
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Stanford AI Agents Tested Against Human Cybersecurity Professionals
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9. ARTEMIS Stanford researchers conducted the first head-to-head evaluation of AI agents against human cybersecurity professionals on a live enterprise network with approximately 8,000 hosts.