30 Agents Every AI Engineer Must Build — Build production-ready agent systems using proven architectures and patterns: http://
amzn.to/41ckg6z v/ @PacktDataML —
What you will learn:
Deploy production-ready agent systems that scale securely and reliably
Use LangChain and
LLMS
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Building Production-Ready AI Agent Systems and Architectures
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Technical analysis of attention head visualization and model interpretability
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Its better for high-level debugging, clearly shows flow magnitudes and which heads contribute most. Standard heatmaps still win for fine-grained token-to-token patterns. but on larger models it gets dense/cluttered fast (even with collapsing)
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Avoiding self-training bias in agent self-improvement
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In SFT we often train on other agents data (distillation) so you’re right. However we also try to climb by self-improvement. This is where it becomes important for the agent not to train on its actions. Any bias on the agent beliefs (weights of the neural net) will be amplified.
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Local LLM execution and cognitive security benefits
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I have ran LLMs locally that had 2048 / 4096 / 8192 context windows That alone keeps me from ever getting one-shot by an AI into a psychosis Being able to tinker with these things is legit good for you CogSec, just saying
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Composer 2.5: Efficiency and AI Capability
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Intelligence too cheap to meter. This is the real deal. Composer 2.5 is an efficiency-beast
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Performance and Efficiency Gains in New AI Coding Tool Release
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Huge, did NOT expect that release. Evals looks very solid, significant jump compared to composer 2! But: it’s 10x more efficient than the competition. Looks really exciting. Need to try it out
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Using AI as a Daily French Language Tutor
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1. Creador de lecciones diarias «Actúa como un profesor de francés. Crea una lección diaria de 20 minutos con vocabulario, gramática y ejercicios prácticos»
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Frustrations with AI detection and identifying AI-written text
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I broke my own rule to never post about AI detection as it is fraught in many ways. The problem is that if you use AI a lot, you know AI writing on sight, which makes the difficulty of objectively proving that AI use to others very frustrating
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Comparing GBrain, Hermes, and Karpathy’s Brain Architectures
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How does GBrain compare/contrast/complement things like Hermes/Karpathy's Brain?
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Complex AI agent workflows with ClaudeCode
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J’ai un Claude qui task des ClaudeCode avec des megabriefs de plus de 700 lignes parfois ça monte à 800 ou 900 lignes, il y a même des requêtes qui demandent des temps d’arrêts de 30 minutes pour laisser tourner afin de contrôler des comportements, les IA tournent des heures en