🔥 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/b0407e...
o3-mini release post: https://openai.com/index/openai-o3-mini/
Prompt Engineering Masterclass: • Prompt Engineering Master Class for ENGINE...
Meta Q4 Earnings Call: https://s21.q4cdn.com/399680738/files...
Master AI Coding: https://agenticengineer.com/principle...
🚀 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
