Track 4: Working With LLM APIs
Open Models in Practice: Hugging Face, Ollama, llama.cpp & vLLM
9 lessons
Track 15: Frontier and Advanced, Reasoning Models and Inference
Inference Optimisation: KV Cache and Prefix Caching
Explain and measure what each optimisation saves.
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Open Models in Practice: Hugging Face, Ollama, llama.cpp & vLLM
Udemy: coming soon
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In this module
- Reasoning Models in Production: When They Pay Off
- Thinking Budgets: Cost, Latency and Quality
- Long Context vs RAG: Measure Cost and Accuracy
- Small and On-Device Models: Laptops, Phones and Browsers
- Inference Optimisation: KV Cache and Prefix Caching
- Speculative Decoding and Continuous Batching
- Project: Benchmark Your Model Serving Stack
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