AI Cheat Sheet

Welcome to the AI Cheat Sheet, your ultimate guide to the world of Artificial Intelligence. This curated repository is a comprehensive collection of resources for anyone interested in Generative AI (GenAI), Large Language Models (LLMs), and Agentic AI. Here you will find a hand-picked list of popular GitHub repositories, essential tools and frameworks, in-depth courses, and expert-led YouTube videos. Whether you're a beginner looking to understand the fundamentals of Retrieval-Augmented Generation (RAG) and Prompt Engineering, or an experienced practitioner exploring advanced topics like Fine-Tuning, AI Agents, and Vector Databases, this cheat sheet is designed to be your go-to resource.

Contents

• Getting Started: Courses & Projects

  • Projects
  • Free Courses

• Favorite YouTube Videos for AI Agents

• Awesome Lists

• Books

• AI/ML Tools & Frameworks

  • AI Gateway
  • AI Workload Manager
  • Copilot Development
  • Dataset Engineering
  • Evaluation
  • Fine Tuning
  • Function Calling
  • Graph RAG
  • Guardrails
  • Local Model Inference
  • LLM Agent Framework
  • Model Serving
  • Observability
  • Pre Training
  • Prompt Engineering
  • RAG Framework
  • Security
  • Structured Extraction
  • Structured Generation
  • Vector DB

Getting Started: Courses & Projects

Projects

Name	Author	Description	Stars
Hands-On-Large-Language-Models	HandsOnLLM	Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Made-With-ML	GokuMohandas	Learn how to design, develop, deploy, and iterate on production-grade ML applications.
agents	ed-donner	Repo for the Complete Agentic AI Engineering Course
GenAI_Agents	NirDiamant	Tutorials and implementations for Generative AI Agent techniques.
agents-towards-production	NirDiamant	End-to-end tutorials for production-grade GenAI agents.
ai-agents-for-beginners	microsoft	12 Lessons to Get Started Building AI Agents

Free Courses

Name	Author	Description
Anthropic for Developers	Anthropic	Courses on AI development, integration, and fluency.
Generative AI for Everyone	DeepLearning.AI	A foundational course by Andrew Ng on Generative AI concepts.
Large Language Models (LLMs) - Level 1	Coursera & H2O.ai	An introductory course on the basics of Large Language Models.
ChatGPT Prompt Engineering for Developers	DeepLearning.AI & OpenAI	Learn how to craft effective prompts for LLM applications.
Preprocessing Unstructured Data for LLM Apps	DeepLearning.AI & Unstructured	Techniques for handling and preprocessing unstructured data for LLMs.
Getting Started with Generative AI API Specialization	Coursera & Codio	Fundamentals of using Generative AI APIs for building applications.
Introduction to Retrieval Augmented Generation (RAG)	Coursera	An essential guide to understanding and using RAG.
Fundamentals of AI Agents Using RAG and LangChain	Coursera & IBM	An introduction to AI agents using RAG and LangChain.
LangChain for LLM Application Development	DeepLearning.AI & LangChain	Exploring agent frameworks with LangChain for LLM development.
Build Autonomous AI Agents From Scratch With Python	Udemy	A practical course on building simple AI agents with Python.
AI Agentic Design Patterns with AutoGen	Coursera & Microsoft	Understanding agent workflows and design patterns with AutoGen.
LLMs as Operating Systems: Agent Memory	DeepLearning.AI & Letta	A deep dive into agent memory and its role in LLM operations.
Building Intelligent Troubleshooting Agents	Coursera & Microsoft	Learn to evaluate and build effective troubleshooting agents.
Multi AI Agent Systems with crewAI	DeepLearning.AI & CrewAI	A guide to creating and managing systems with multiple collaborating AI agents.
Building & Evaluating Advanced RAG Apps	DeepLearning.AI, LlamaIndex & TruEra	Implementing and evaluating advanced RAG in agentic systems.
Evaluating AI Agents	DeepLearning.AI	Learn to systematically assess and improve your AI agent’s performance.
Multi AI Agent Systems with crewAI	DeepLearning.AI & CrewAI	A guide to creating and managing systems with multiple collaborating AI agents.
Agentic AI with LangGraph, CrewAI, AutoGen, and BeeAI	Coursera	Designing optimized AI systems by selecting and combining appropriate agentic frameworks.
AI Agentic Design Patterns with AutoGen	Coursera & Microsoft	Understanding agent workflows and design patterns with AutoGen.
AI Agents and Agentic AI with Python & Generative AI	Coursera	Building complete AI agent frameworks in Python.
AI Agents in LangGraph	DeepLearning.AI	Explore integrating AI agents within LangGraph for scalable and robust AI solutions.
Practical Multi AI Agents and Advanced Use Cases with crewAI	DeepLearning.AI	Delve into advanced applications of multi-agent systems using crewAI.
Build Apps with Windsurf’s AI Coding Agents	DeepLearning.AI	Learn to develop applications using Windsurf’s AI coding agents.
Building AI Browser Agents	DeepLearning.AI	Develop AI agents that interact with web browsers to automate tasks.
Building AI Voice Agents for Production	DeepLearning.AI	Create AI voice agents suitable for production environments.
Functions, Tools, and Agents with LangChain	DeepLearning.AI	Integrate functions and tools within LangChain to build efficient AI agents.
DSPy: Build and Optimize Agentic Apps	DeepLearning.AI	Build and optimize agentic applications using DSPy.
Long-Term Agentic Memory With LangGraph	DeepLearning.AI	Implement long-term memory in AI agents using LangGraph.

Favorite YouTube Videos for AI Agents

Topic	Title	Description
LLM Introduction	How LLMs like GPT-4, Claude, and Gemini actually work	Yannic Kilcher's foundational explanation.
LLMs from Scratch	Building Transformers from Scratch	Deep technical dive into transformer architecture.
Agentic AI Overview	Stanford Seminar - The Future of AI is Agentic	Stanford researchers explain why AI agents matter.
Building & Evaluating Agents	Building and Evaluating Agents	Comprehensive guide covering construction and testing.
Building Effective Agents	Building Effective Agents	Practical strategies for creating useful agents.
Building Agents with MCP	Building Agents with Microsoft's Model Context Protocol	Tutorial on MCP framework for agent orchestration.
Building an Agent from Scratch	Building an Agent from Scratch	Hands-on tutorial showing how agent systems connect.
Philo Agents (Playlist)	Philo Agents (Playlist)	Advanced agent simulation series by Paul Iustzin.

Awesome Lists

Name	Author	Description	Stars
awesome-mcp-servers	appcypher	A curated list of Model Context Protocol servers.
awesome-mcp-clients	punkpeye	A collection of Model Context Protocol clients.

Books

Name	Author	Description
Agentic Design Patterns	Antonio Gulli	A 400-page free book on Agentic Design Patterns, covering advanced prompting, multi-agent design, tool use, memory management, and more.

AI/ML Tools & Frameworks

AI Gateway

Name	Repository	Stars
Kong	Kong/kong
Litellm	BerriAI/litellm
Portkey	Portkey-AI/gateway
RouteLLM	lm-sys/RouteLLM
GPTRouter	Writesonic/GPTRouter
tensorzero	tensorzero/tensorzero
missing studio	missingstudio/gateway

AI Workload Manager

Name	Repository	Stars
Ray	ray-project/ray
higgsfield	higgsfield-ai/higgsfield
Dstack	dstackai/dstack

Copilot Development

Name	Repository	Stars
copilotkit	CopilotKit/CopilotKit
OpenCopilot	openchatai/OpenCopilot

Dataset Engineering

Name	Repository	Stars
label studio	HumanSignal/label-studio
CleanLab	cleanlab/cleanlab
Snorkel	snorkel-team/snorkel
Lilac	lilacai/lilac
litdata	Lightning-AI/litdata

Evaluation

Name	Repository	Stars
Eval	openai/evals
RAGAS	explodinggradients/ragas
Giskard	Giskard-AI/giskard
promptfoo	promptfoo/promptfoo
arize ai	Arize-ai/phoenix
uptrain	uptrain-ai/uptrain
trulens	truera/trulens
tonic-validate	TonicAI/tonic_validate
LangEvals	langwatch/langevals
Poyro	poyro/poyro

Fine Tuning

Name	Repository	Stars
unsloth	unslothai/unsloth
OpenPipe	openpipe/openpipe
autotrain-advanced	huggingface/autotrain-advanced
torchtune	pytorch/torchtune
Axolotl	OpenAccess-AI-Collective/axolotl
lit-gpt	Lightning-AI/lit-gpt
lorax	predibase/lorax

Function Calling

Name	Repository	Stars
Nexus	mendableai/nexus
Gorilla	gorilla-llm/gorilla
Toolbench	OpenBMB/ToolBench

Graph RAG

Name	Repository	Stars
graphrag	microsoft/graphrag
NebulaGraph	vesoft-inc/nebula
graph-based-rag	langchain-ai/graph-based-rag

Guardrails

Name	Repository	Stars
Nvidia NeMo	NVIDIA/NeMo-Guardrails
guardrails	guardrails-ai/guardrails
Rebuff	Rebuff-AI/Rebuff

Local Model Inference

Name	Repository	Stars
Ollama	ollama/ollama
vllm	vllm-project/vllm
together	togethercomputer/together-cli

LLM Agent Framework

Name	Repository	Stars
crewAI	joaomdmoura/crewAI
agentgpt	reworkd/AgentGPT
metagpt	geekan/MetaGPT
SuperAGI	TransformerOptimus/SuperAGI

Pre Training

Name	Repository	Stars
Megatron-LM	NVIDIA/Megatron-LM
DeepSpeed	microsoft/DeepSpeed
Colossal-AI	hpcaitech/ColossalAI

Prompt Engineering

Name	Repository	Stars
Prompt-Engineering-Guide	dair-ai/Prompt-Engineering-Guide
promptfoo	promptfoo/promptfoo
promptable	promptable/promptable
prompt_engineering	NirDiamant/prompt_engineering

RAG Framework

Name	Repository	Stars
LlamaIndex	run-llama/llama_index
LangChain	langchain-ai/langchain
llmware	llmware-ai/llmware
llm-app	pathwaycom/llm-app
Cognita	truefoundry/cognita
casibase	casibase/casibase
SciPhi	SciPhi-AI/R2R
trieve	devflowinc/trieve
autollm	safevideo/autollm
canopy	pinecone-io/canopy
NeumAI	NeumTry/NeumAI
WrenAI	Canner/WrenAI
ragna	Quansight/ragna
Dify	langgenius/dify
Flowise	FlowiseAI/Flowise
langflow	langflow-ai/langflow
Haystack	deepset-ai/haystack
MemGPT	cpacker/MemGPT
phidata	phidatahq/phidata
PromptFlow	microsoft/promptflow
chainlit	Chainlit/chainlit
ragapp	ragapp/ragapp
hamilton	dagworks-inc/hamilton
RagBuilder	KruxAI/ragbuilder
rag_techniques	NirDiamant/rag_techniques

Vector DB

Name	Repository	Stars
milvus	milvus-io/milvus
Qdrant	qdrant/qdrant
Chroma	chroma-core/chroma
Weaviate	weaviate/weaviate
pgvector	pgvector/pgvector
deeplake	activeloopai/deeplake
txtai	neuml/txtai
marqo	marqo-ai/marqo
lancedb	lancedb/lancedb
nucliaDB	nuclia/nucliadb
oasysdb	oasysai/oasysdb
lantern	lanterndata/lantern
vespa	vespa-engine/vespa