Build temperature, top-p, top-k, and min-p sampling from scratch in Python. Interactive code, probability visuals, and a per-task cheat sheet.
Build a working BPE tokenizer in Python step by step. Learn how LLMs split text into tokens, implement byte pair encoding, and count tokens...
Learn to use the OpenAI API in Python. Master chat completions, streaming responses, error handling, retries, and async calls with runnable examples.
Master Polars with 101 hands-on exercises and solutions — covering DataFrames, groupby, joins, window functions, lazy eval, and more.
Build a Python benchmark harness comparing Groq, Fireworks, Together AI, and Replicate on latency, throughput, and cost with runnable code.
Master the OpenAI Batch API in Python: build a reusable pipeline for 10,000+ prompts at 50% cost with JSONL formatting, progress polling, and error...
Build an LLM evaluation pipeline in Python with LLM-as-judge scoring, rubric design, A/B testing, and regression alerts. Runnable code examples included.
Build a resilient LLM client in Python with retry, fallback chains, circuit breakers, and rate limiting — pure Python, runnable code, no SDKs needed.
Build a Python benchmarking harness to compare GPT-4o, Claude, Gemini, and Llama on quality, latency, and cost with LLM-as-judge and radar charts.
Learn multimodal AI in Python with GPT-4o, Claude, and Gemini vision APIs. Build image classification, chart analysis, receipt OCR, and audio transcription with raw...
Stream LLM tokens from OpenAI, Claude, and Gemini in Python using SSE and async generators. Includes FastAPI server, backpressure handling, and runnable code.
Learn LLM structured output in Python with 3 methods: OpenAI JSON schema, Claude tool extraction, and Instructor. Build a type-safe invoice parser with Pydantic.
Build a multi-provider LLM router in Python with cost-based routing, latency tracking, and automatic fallbacks across Groq, Together AI, and OpenRouter.
Master Hugging Face inference in 20 minutes. Run LLMs locally with Pipeline API or serverless via HTTP — with Python examples you can copy...
Learn to run LLMs locally with Ollama. Install Llama, Mistral, and DeepSeek, use the OpenAI-compatible Python API, and build a local-to-cloud fallback client.
Build a multimodal document analyzer with the Google Gemini API in Python. Analyze images, PDFs, and text with structured JSON output — using raw...
Master the Claude API with raw HTTP — messages, streaming, tool use, extended thinking, and prompt caching with runnable Python code examples.
Learn OpenAI function calling in Python with 3 working tools. Build the tool-use loop, handle parallel calls, and design schemas using raw HTTP requests.
Master the OpenAI API in Python with raw HTTP requests. Learn chat completions, streaming, parameters, error handling, retries, and cost tracking with runnable examples.
Learn how LLM context windows work, count tokens with tiktoken, estimate API costs, and build a Python token budget manager that allocates context across...
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