Yup, o3-mini is WORTH your money. Meta Q4 Earnings Prompt. Deepseek and Llama4 Insights
🔥 YUP, o3-mini is the new king. But the next model (llama4) is right around the corner. 🎥 Featured Links: - Benchy: https://github.com/disler/benchy - Data Extraction Prompt: https://gist.github.com/disler/b0407ea5cc94a2ee855e034ea22114a1 - o3-mini release post: https://openai.com/index/openai-o3-mini/ - Prompt Engineering Masterclass: https://youtu.be/ujnLJru2LIs - Meta Q4 Earnings Call: https://s21.q4cdn.com/399680738/files/doc_financials/2024/q4/META-Q4-2024-Earnings-Call-Transcript.pdf - Master AI Coding: https://agenticengineer.com/principled-ai-coding 🚀 In this Fff, Ffa, Fa, FIRE video, we expose: 1. Why o3-mini is 01’s KILLER replacement (8X cheaper, 15% BETTER performance) 2. The SECRET (link above lol) 12K-token prompt extracting GOLD from Meta’s Q4 earnings call 3. The 3-step VIBE CHECK system top engineers use to evaluate models 4. SHOCKING (see transcript above lol) Llama4 leaks hidden in Zuckerberg’s earnings call transcript 💡 WATCH as we: - Benchmark o3-mini vs Deepseek R1 vs GPT-4o against a data extraction prompt - Extract investment-critical data using structured XML prompts - Reveal Meta’s AGGRESSIVE hiring plans for AI infrastructure & Llama4 - Break down o3-mini’s game-changing 200K context & 100K output tokens 🛠️ Key Takeaways: - o3-mini HIGH mode delivers 96% accuracy in complex data extraction - Meta’s Q4 report shows 90% headcount growth in AI/VR teams - Deepseek R1 STRUGGLES with 64K context limitations - PROMPT ENGINEERING patterns that WORK across ALL reasoning models ⚠️ DISCLAIMER: This video is for educational purposes only. Nothing in this content should be considered financial or investment advice. Always do your own research and consult qualified professionals before making investment decisions. 📖 Chapters 00:00 Push through Deepseek Narrative 00:50 o3-mini is the new SOTA 04:31 Meta Q4 Llama4 Earnings Prompt 11:28 Compare o3-mini reasoning effort 14:25 Vibe check, Compare llms, Eval and Benchmark 19:22 o3-mini high benchmarking and tips #llm #aiagents #promptengineering
