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/blog/aiplatformblog/introducing-phi-4-microsoft's-newest-small-language-model-specializing-in-comple/4357090 - PHI 4 OLLAMA: https://ollama.com/vanilj/Phi-4 - LLAMA 3.3: https://www.llama.com/docs/model-cards-and-prompt-formats/llama3_3/ - GEMINI 2.0 FLASH: https://ai.google.dev/gemini-api/docs/models/gemini#gemini-2.0-flash 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
