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  • Day 10: Context Windows — The Key Architectural Constraint
  • Day 9: LLM Inference Fundamentals — Temperature, Top-P, and Sampling
  • Day 8: Running LLMs Locally with Ollama & LM Studio
  • Day 7 — Setting Up Your AI Engineering Environment
  • Day 6 — Open-Source AI Ecosystem in 2026
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Gemini

AIFeature Posts
Neeraj Kushwaha

Day 9: LLM Inference Fundamentals — Temperature, Top-P, and Sampling

“The difference between a poet and a fact-checker isn’t intelligence — it’s entropy. Temperature is how you dial between the

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AI
Neeraj Kushwaha

Day 5 — The Frontier Model Landscape: GPT, Claude, Gemini, and Beyond

“Model selection is an engineering decision, not a fan club allegiance. The best AI engineers are model-agnostic — they know

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Recent Posts

  • Day 10: Context Windows — The Key Architectural Constraint
  • Day 9: LLM Inference Fundamentals — Temperature, Top-P, and Sampling
  • Day 8: Running LLMs Locally with Ollama & LM Studio
  • Day 7 — Setting Up Your AI Engineering Environment
  • Day 6 — Open-Source AI Ecosystem in 2026
  • Day 5 — The Frontier Model Landscape: GPT, Claude, Gemini, and Beyond
  • Day 4 — Tokens, Embeddings & Semantic Space
  • Day 3 — The Transformer Architecture Deep Dive
  • Day 2 — How Large Language Models Actually Work?

“Walking on water and developing software from a specification are easy if both are frozen”

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