13 articles

#ai-ml

All articles tagged with #ai-ml.

Capstone: Build a Chat-With-Your-Notes AI App

Capstone project: build a 'chat with your notes' AI app in Python with RAG, retrieval, and citations end to end, then where to go next.

Jun 22, 202612 min

AI & ML

LLM Apps: Tokens, Cost, Latency and Safety

Tokens, cost, latency, and safety for LLM apps: count tokens, estimate cost, retry with backoff, and defend against prompt injection.

Jun 22, 202610 min

AI & ML

Build a Simple AI Agent in Python

Build a simple AI agent in Python: the think-act-observe loop, tool use, and memory, so the model can take steps, not just answer once.

Jun 21, 202610 min

AI & ML

RAG: Chat With Your Own Documents in Python

Build retrieval-augmented generation in Python: chunk, embed, retrieve, and ground an LLM's answers in your own documents with a working mini-RAG.

Jun 21, 202610 min

AI & ML

Embeddings and Semantic Search, Explained

Embeddings turn text into vectors so you can search by meaning. Learn cosine similarity and build semantic search in Python, with a live explorer.

Jun 20, 20267 min

AI & ML

Tool Calling: Let the LLM Use Your Functions

Let an LLM call your Python functions with tool calling: define tools, run the call loop, and feed results back so the model can finish the job.

Jun 20, 20268 min

AI & ML

Control LLM Output: Temperature, Tokens, Streaming

Control LLM output in Python: temperature, top_p, max_tokens, stop sequences, and streaming responses token by token, with an interactive demo.

Jun 19, 20269 min

AI & ML

Get Structured JSON Output You Can Trust

Get structured JSON out of an LLM reliably: JSON mode, a Pydantic schema, validation, and retries, so your code can trust the model's output.

Jun 19, 20268 min

AI & ML

Prompts and the Message Format, Explained

How LLM prompts really work: the messages array, system/user/assistant roles, and keeping multi-turn conversation state in Python.

Jun 18, 20268 min

AI & ML

Prompt Engineering That Actually Works

Practical prompt engineering for developers: be specific, use few-shot examples, fix the format, and dodge the failure modes that waste tokens.

Jun 18, 202610 min

AI & ML

Make Your First LLM API Call in Python

Make your first LLM API call in Python using the OpenAI-compatible SDK. Set up a client, keep your key safe, and get a real model response.

Jun 17, 20267 min

AI & ML

TurboQuant: How Google Shrinks the LLM KV Cache 6×

Google's TurboQuant squeezes an LLM's KV cache to about 3 bits per value with near-zero quality loss. Here's the rotation-plus-one-bit trick, decoded.

Jun 17, 202610 min

AI & ML

What an LLM Actually Is (and What It Isn't)

What a large language model really is: next-token prediction, tokens, training vs inference, and what LLMs are good and bad at, with a live demo.

Jun 17, 202610 min