The Architecture for Serving 100 Fine-Tuned Models on One GPU
...explained with code.
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Why Multi-turn Agents Need More Than a Task Graph
What production agents must preserve between turns, and what they must reset.
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Your Agent Harness Needs Runtime Security
A 100% local, open-source guide to recording what AI agents actually do at runtime.
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Momentum in ML, Explained Visually and Intuitively!
(a popular ML interview question)
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LLM Routing Can Cost More Than Not Routing
...covered with a production-grade router for LLM apps.
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KV Cache Engineering for LLM Serving
12 techniques to manage KV cache in production.
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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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