Skip to content

Entry

LLM Course

Appears in 4 awesome lists

Free LLM course with roadmap-style progression and practical Colab notebooks.

Open github.commlabonne/llm-course

Found in these lists

Awesome Data Analysis

Section: Resources · Practical course to master large language models from start to finish.

FreshScore 80

Awesome Learning

Section: AI

FreshScore 82

Awesome LLM Resources

Section: 课程 Course

FreshScore 87

Awesome Roadmaps

Section: AI / Machine Learning / Data Science · Free LLM course with roadmap-style progression and practical Colab notebooks.

FreshScore 83

LocalAI

robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. Features: Generate Text, Audio, Video,…

In 14 listsDetails

promptfoo

Test your prompts, models, RAGs. Evaluate and compare LLM outputs, catch regressions, and improve prompt quality. LLM evals for OpenAI/Azure GPT, Anthropic Claude, VertexAI Gemini, Ollama, Local & private models like Mistral/Mixtral/Llama with CI/CD

In 11 listsDetails

Prompt Engineering Guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

In 11 listsDetails

AI Collection

The Generative AI Landscape - A Collection of Awesome Generative AI Applications.

In 4 listsDetails

OpenAI Cookbook

OpenAI's cookbook includes examples of prompt engineering.

In 9 listsDetails

Awesome LangChain

😎 Awesome list of tools and projects with the awesome LangChain framework

In 4 listsDetails

Practical Deep Learning for Coders

Practical Deep Learning for Coders 2022 is a free course offering hands-on experience in building, training, and deploying deep learning models across various domains using tools like PyTorch and fastai, suitable for those with coding knowledge and without the need for advanced math.

In 8 listsDetails

Claude Cookbooks

Anthropic's official notebook collection covering orchestrator-worker patterns, parallel tool calling, programmatic tool calling (PTC), context compaction, and Agent SDK examples. The patterns/agents/ directory is the reference implementation of every orchestration pattern described in Building…

In 6 listsDetails