AI Learning (Google, OpenAI, and Anthropic) #Formación

https://www.linkedin.com/feed/update/urn:li:activity:7327984267601350659

Learning AI?

The world's top AI labs — Google, OpenAI, and Anthropic — are quietly dropping expert-level guides for free. Check this out ↓

9 FREE AI Sources (with links):

Prompt Engineering for LLMs
→ Prompt structures
→ Real-world use cases
→ LLM integration

🔗 https://lnkd.in/eS9JpeSn

Google's Prompting Guide
→ Gemini-specific tips
→ Role-based prompts
→ Workspace strategies

🔗 https://lnkd.in/e9PYwsVD

OpenAI Guide to Agents
→ Agent architecture
→ Deployment tactics
→ Best practices

🔗 https://lnkd.in/eursDMnh

OpenAI: AI in the Enterprise
→ Strategic adoption
→ Roadmap creation
→ Use case design

🔗 https://lnkd.in/eQE7iS-Y

Google Agent Companion Whitepaper
→ How agents actually work
→ Evaluation frameworks
→ Enterprise-grade examples

🔗 https://lnkd.in/ehkvSwjK

Anthropic's Agent Framework
→ Claude-specific flows
→ Iteration logic
→ Prompt flow models

🔗 https://lnkd.in/eNucaVN3

Anthropic's Coding Best Practices
→ Secure architecture
→ Prompt injection safety
→ Output consistency

🔗 https://lnkd.in/eN7fDM-7

200+ Page AI & LLM Research Book
→ LLM mechanics
→ Model design
→ Deep architecture breakdown

🔗 https://lnkd.in/eknj7JMb

Scaling AI Use Cases
→ Use case filters
→ Risk & feasibility mapping
→ Readiness checklist

🔗 https://lnkd.in/eQE7iS-Y