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The Tiny Trick That Tamed Giant Language Models
LoRA transformed how we fine-tune massive AI models like GPT-3. By adding tiny low-rank matrices instead of retraining billions of parameters, it made adaptation faster, cheaper, and accessible to everyone. This article explores the origins, mechanics, and lasting impact of the “small trick” that tamed the giants of artificial intelligence.

Juan Manuel Ortiz de Zarate
Oct 1511 min read


Building Secure AI Agents
LlamaFirewall is an open-source, system-level guardrail system designed to mitigate critical security risks in autonomous AI agents, such as prompt injection, goal misalignment, and insecure code generation. Serving as a final layer of defense, it employs three core guardrails: **PromptGuard 2** detects direct jailbreaks, **AlignmentCheck** audits agent chain-of-thought for subtle misalignment and indirect injections, and CodeShield performs fast, real-time static analysis to

Juan Manuel Ortiz de Zarate
Sep 2610 min read


Language-Driven Precision in the Operating Room
The Hierarchical Surgical Robot Transformer (SRT-H) brings step-level autonomy to surgery by combining a language-driven high-level planner with a vision-guided low-level executor. Trained on over 16,000 demonstrations, it completed the clipping-and-cutting phase of gallbladder removal with 100% success in ex-vivo trials, adapting to variations and self-correcting without human intervention—marking a milestone toward clinically viable autonomous surgery.

Juan Manuel Ortiz de Zarate
Aug 1310 min read
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