Récent
Récent 
Récent Attention Mechanisms in LLMs, clearly explained
Everything you need to understand how attention works, why the KV cache is the bottleneck, and what every attention variant is actually solving.
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Stop Guessing Which Local Model To Run
A practitioner's guide to local AI.
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Static vs. Dynamic vs. Continuous Batching in LLMs, clearly explained!
+ a popular LLM interview question.
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WebMCP By Google, Clearly Explained!
Everything you need to understand WebMCP and expose your site's actions to an agent.
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Why KV Cache Stores K and V Vectors But Never Q?
A popular technical LLM interview question.
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Implementing a Siamese Network with Contrastive Learning
Full guide with code.
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KV vs Prefix vs Prompt vs Semantic Caching
...explained with best practices in production.
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![[Hands-on] Turn Scientific Figures Into Structured Data with Mistral OCR](https://substackcdn.com/image/fetch/$s_!swtY!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fff5a5719-b825-4c5e-8ebd-0ba1a961ff8f_1456x808.png)
[Hands-on] Turn Scientific Figures Into Structured Data with Mistral OCR
A full walkthrough of the extraction schema, with code.
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Preloading Knowledge Into a Model Instead of Retrieving It
How to process your corpus once, skip retrieval entirely, and serve every query from a stored cache. Three parts covering the full spectrum.
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How Semantic Code Navigation Cuts Agent Token Costs by up to 36%
Understanding what an agent actually does with the tokens before it writes code.
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Kimi K3's Sandbox Problem Finally Has an Open-Source Fix
...explained with code.
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Grok Bot Masterclass
Everything you need to understand, set up, and get real work out of Grok Bot.
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