ANDREJ KARPATHY COULD HAVE CHARGED $2,000 FOR THIS COURSE.
He put it on YouTube.
The full training stack. Tokenization. Neural network internals. Hallucinations. Tool use. Reinforcement learning. RLHF. DeepSeek. AlphaGo.
3 hours of the most comprehensive LLM education that exists anywhere at any price.
Not how to use the tools.
How the entire system was built from the ground up and why it behaves the way it does.
The engineers who understand this build things the ones who only use the tools cannot even conceive of.
The gap between those two groups is not 3 hours.
It is everything those 3 hours quietly unlock for the rest of your career.
@NoBrokerCare Generally block you if they think you are not taking their peripheral services .
Huge gap here, I think a new startup can work and gain good traction.
@ZohoSocial Please give us a unbiased No-broker kind of platform :D
Incase anybody wantes to sell house, rent it, buy it or want any other services:
Please use platforms which are more open like : @99acresIndia and https://t.co/aiN2qibDH3.
Places to avoid - @NoBrokerCare . I have been suggested by many users that they use monopolistic power
Agentic Engineering: The Optimization Series (1/50)
"How do you design an agentic system that handles 10k RPS without blowing your token budget or hitting 5s P99 latency?"
Classification vs. Generation: Read up on Natural Language Understanding (NLU) fundamentals specifically "Intent Classification and Slot Filling" to see how classic DS solves 80% of agentic "logic" faster than a Generative model.