Build sinusoidal, RoPE, and ALiBi positional embeddings from scratch in NumPy. Runnable code, heatmaps, and a clear comparison of all three schemes.
Build transformer attention from scratch in NumPy with runnable code. Scaled dot-product, multi-head attention, causal masking, and heatmaps step by step.
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 to count LLM tokens with tiktoken, compare API pricing across OpenAI, Claude, and Gemini (March 2026), and cut costs by 90% with 10...
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...
Master LLM temperature, top-k, and top-p with interactive Python simulations. Runnable code, exercises, and a sampling playground to build real intuition.
Build a working BPE tokenizer in Python, learn how text becomes tokens, and use tiktoken to count tokens and estimate LLM API costs across...
Learn to call OpenAI, Claude, and Gemini APIs from Python in 15 minutes. Includes code examples, error handling, streaming, and a unified wrapper.
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