📝 Category

LLM & AI

Articles about language models

21 Articles

Category articles "LLM & AI"

Study all materials on this topic

httpx: A Modern HTTP Client for Python
🟡 Medium

httpx: A Modern HTTP Client for Python

httpx is a next-generation HTTP client. Its interface is similar to requests, but it supports async/await out of the box.

👤 PyLand Team
📅 30.06.2026
AI Agents: ReAct Loop and Autonomous Actions
🔴 Difficult

AI Agents: ReAct Loop and Autonomous Actions

A chatbot answers questions. An agent takes action: it calls tools, retrieves real data, and uses that data in its...

👤 PyLand Team
📅 30.06.2026
Typer: CLI Applications Without the Boilerplate
🟡 Medium

Typer: CLI Applications Without the Boilerplate

Typer builds CLIs from Python type annotations. No argparse, no manual parsing — just decorators and types.

👤 PyLand Team
📅 30.06.2026
Document Chunking Strategies for RAG
🟣 Expert

Document Chunking Strategies for RAG

Embedding a long document averages out its meanings — a specific question won't find the right paragraph. The solution is...

👤 PyLand Team
📅 30.06.2026
Pydantic v2: Data Validation in Python
🟡 Medium

Pydantic v2: Data Validation in Python

Pydantic validates and converts data through type annotations. It is commonly used in APIs and LLM applications when an external...

👤 PyLand Team
📅 30.06.2026
asyncio in Python: Asynchronous Programming
🟡 Medium

asyncio in Python: Asynchronous Programming

asyncio is Python's standard library for asynchronous code. It lets you execute multiple tasks "simultaneously" within a single thread.

👤 PyLand Team
📅 30.06.2026
AsyncAnthropic: Async Client for the Claude API
🔴 Difficult

AsyncAnthropic: Async Client for the Claude API

AsyncAnthropic is the asynchronous version of the Anthropic client. It uses async/await and integrates with the asyncio event loop.

👤 PyLand Team
📅 30.06.2026
RAG: Chatting with Documents via Vector Search
🟣 Expert

RAG: Chatting with Documents via Vector Search

RAG (Retrieval-Augmented Generation) is a pattern for working with your own documents. Instead of fine-tuning the model, you find the...

👤 PyLand Team
📅 30.06.2026
Prompt Caching in the Claude API: Saving on Tokens
🟣 Expert

Prompt Caching in the Claude API: Saving on Tokens

Every request to Claude costs money. inputtokens includes everything: the system prompt, conversation history, and the current question. If you...

👤 PyLand Team
📅 30.06.2026
Embeddings: Coordinates of Text in Semantic Space
🔴 Difficult

Embeddings: Coordinates of Text in Semantic Space

An embedding is a numerical vector that represents a piece of text. Texts that are similar in meaning get vectors...

👤 PyLand Team
📅 30.06.2026
JSON Schema: Describing Data Structures
🟡 Medium

JSON Schema: Describing Data Structures

JSON Schema is a standard for describing the structure of JSON. In the Claude API it is used to define...

👤 PyLand Team
📅 30.06.2026
Tool Use in the Claude API: Agents with Tools
🔴 Difficult

Tool Use in the Claude API: Agents with Tools

Tool use lets Claude call functions in your code — fetching weather, reading files, running searches. Claude decides when to...

👤 PyLand Team
📅 30.06.2026

Other categories

Study related topics

📝

Django

Articles about django

📚 63 articles ⭐ 4.7
📝

Python

Articles about Python

📚 54 articles ⭐ 4.8
📝

Git & GitHub

Articles about Git and GitHub

📚 32 articles ⭐ 4.9

Want more materials?

Subscribe to updates and be the first to know about new articles!