How does an AI go from a blank slate to a powerful tool? It's not magic… it's a detailed, multi-stage training process.
In This Episode, You'll Learn:
- The five essential stages of AI training: Data Collection, Tokenization, Pretraining, Post-training, and Continuous Improvement.
- What Supervised Learning is and how labeled "flashcards" or "gold standard" examples help fine-tune a model's accuracy.
- The power of Unsupervised Learning in the pre-training phase, where models find hidden patterns in massive, unlabeled datasets (like Spotify recommendations).
- How Reinforcement Learning from Human Feedback (RLHF) uses a reward system (like ranking bowls of ramen) to make models more helpful and aligned.
This weeks poll: Human Feedback
