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#inference-parameters

8 episodes

#5184: AI Is a Number Factory, Not a Wordsmith

Under the prose, every AI model is just matrices of floating-point math. So where does the randomness actually come from?

ai-inferenceinference-parametersdrug-discovery

#4972: CPU vs GPU Inference: When to Skip the GPU

Why running AI on CPU isn't a toy — and when the GPU advantage vanishes.

gpu-accelerationinference-parametershardware-engineering

#4966: Local vs Cloud: Running Hugging Face Models

Hugging Face's compatibility tracker, cache management, and the real difference between Inference Endpoints and the direct API.

local-inferencecloud-computinginference-parameters

#4789: How LLMs Actually Know When to Stop

Three layers of stop signals, from EOS tokens to context limits — and why none of them really "know" when to stop.

large-language-modelsinference-parameterscontext-window

#2923: Structured Outputs: Taming AI's Token Lottery

Why prompt engineering isn't enough to get consistent JSON from LLMs.

api-integrationdata-integrityinference-parameters

#2163: Designing Autonomy Boundaries for AI Agents

Production data reveals a surprising truth: fully autonomous AI agents waste 98% of their context window on tool descriptions. Here's why the indus...

ai-agentsai-orchestrationinference-parameters

#1279: Why AI Obeys the Developer Instead of You

Discover the hidden "plumbing" of AI system prompts and how architectural shifts are turning simple instructions into hard-coded laws.

prompt-engineeringinference-parametersarchitecture

#37: From Keywords to Meaning: How AI Understands You

Unlock AI's secret language! Discover how vectors and embeddings create a "semantic galaxy" for true understanding and control.

large-language-modelsvector-databasesinference-parameters