Last updated: March 18, 2026
Introduction to large language models by Mitesh Khapra. IIT Madras professor, featured in TIME's 2025 .
https://youtube.com/playlist?list=PLZ2ps__7DhBbaMNZoyW2Hizl8DG6ikkjo&si=4AX39DCg1jh-KbU4
By Charly Wargnier, https://www.linkedin.com/posts/charlywargnier_in-recent-weeks-google-openai-and-anthropic-activity-7333848483545677824-ZjL6/?utm_source=share&utm_medium=member_android&rcm=ACoAAAPsW64BNtxodzQe3M_H7WwpWaac2Y0ycAQ
In recent weeks, Google, OpenAI, and Anthropic have each released fantastic AI guides, and they’re all free! 🔥
Prompting, agents, integration, safety, deployment... it’s all covered.
A quick roundup of the best! ↓
1/ Google’s Prompting Guide
→ Gemini tips
→ Role-based prompts
→ Workspace strategies
2/ Prompt Engineering for LLMs
→ Prompt structures
→ Real use cases
→ LLM integration
3/ OpenAI: AI in the Enterprise
→ Adoption steps
→ Strategic roadmap
→ Use case design
4/ Google Agent Companion Whitepaper
→ AI agent flow
→ Evaluation metrics
→ Real examples
5/ OpenAI Guide to Agents
→ Agent architecture
→ Use cases
→ Best practices
6/ Anthropic’s Agent Framework
→ Claude agents
→ Prompt flow
→ Iteration logic
7/ Anthropic Coding Best Practices
→ Secure structure
→ Prompt injection safety
→ Clean output
8/ 200+ Page AI and LLM Research Book
→ LLM mechanics
→ Model design
→ Deep architecture
9/ Scaling AI Use Cases
→ Use case filter
→ Risk mapping
→ Enterprise readiness
10/ Ultimate Prompting Masterclass
→ System design
→ Prompt logic
→ Deployment flow