My Framework for LLM Use Cases and AI Tooling (With Phi-4, Gemini 2.0, Llama 3.3)

This framework will SIMPLIFY how you USE LLMs and AI tooling FOREVER!

🎥 Featured Media:
PHI 4: https://techcommunity.microsoft.com/b...
PHI 4 OLLAMA: https://ollama.com/vanilj/Phi-4
LLAMA 3.3: https://www.llama.com/docs/model-card...
GEMINI 2.0 FLASH: https://ai.google.dev/gemini-api/docs...

With the explosive growth in new Generative AI models like Phi-4, Gemini 2.0 Flash, and Llama 3.3, it's crucial to have a framework for understanding and implementing LLM use cases effectively. This video breaks down the essential categories that will accelerate your approach to engineering in the Generative AI age.

🚀 Discover the six fundamental categories of LLM use cases:
Expansion: Generate content and ideas
Compression: Summarize and distill information
Conversion: Transform between formats
Seeker: Extract specific information
Action: Execute real-world commands
Reasoning: Make decisions and provide insights

🔍 Why This Framework Matters:
Simplifies decision-making in AI development
Helps select the right tools for specific use cases
Creates reusable benchmarks
Guides agentic design and workflow creation

💡 Whether you're building AI agents, developing applications, or exploring new LLM capabilities, this framework will help you move faster and make better decisions in the rapidly evolving AI landscape.

🎯 Watch as we demonstrate real examples using the latest models:
See Phi-4's impressive 14B parameter performance
Experience Gemini 2.0 Flash's lightning speed
Explore Llama 3.3's powerful capabilities

Don't miss out on this game-changing framework that's helping developers and engineers build more effective AI solutions. Like and subscribe for more insights into AI development, prompt engineering, and agentic workflows.

Stay Focused and Keep Building

📖 Chapters
00:00 Gemini 2.0 Flash, Phi-4, Llama 3.3
01:36 LLM Use Case Framework
03:40 Who cares? Why use frameworks?
05:25 Expand, Compress, Convert, Seek, Act, Reason
14:58 Takeaways - Categorize for simplicity

#llm #ai #promptengineering