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Fundamentals

Throughput vs Latency: The Trade-off Behind Your Bill

Serving more tokens per second and serving them faster are opposing goals. The knob that reconciles them is batch size, and it decides both speed and price.

· 9 min read
Fundamentals

Time to First Token: What It Measures and What Moves It

TTFT is dominated by prefill compute, queueing and network distance rather than by model speed. What each contributes, and how to measure it without fooling yourself.

· 9 min read
Fundamentals

Token Costs by Language: Why the Same Text Bills Differently

· 9 min read
Fundamentals

Tokenizer Differences: Why the Same Text Costs Different Amounts

· 8 min read
Fundamentals

Tokens Per Second Explained: Reading the Number Correctly

· 9 min read
Fundamentals

Top-K Sampling Explained, and Why Top-P Replaced It

· 8 min read
Fundamentals

Transformer Architecture Explained for Working Developers

· 9 min read
Fundamentals

Unicode and Tokenization: Where Text Handling Goes Wrong

· 9 min read
Fundamentals

Vocabulary Size Trade-offs in Language Model Tokenizers

· 9 min read
Fundamentals

Where Quantised Models Actually Lose Quality

· 9 min read
Fundamentals

Context Windows: Why More Is Not Always Better

· 8 min read
Fundamentals

Embeddings Explained: Vectors, Similarity and Where It Breaks

· 9 min read
Fundamentals

Fine-Tuning vs Prompting vs RAG: How to Adapt a Model

· 9 min read
Fundamentals

How LLMs Actually Work: Next-Token Prediction, End to End

· 9 min read

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