How does AI actually work? Transformers explained
Modern AI models like GPT and Gemini use a simplified transformer architecture, specifically a decoder-only model, to predict the next most probable word from a sentence fragment, relying on tokenization to convert text into numbers for processing.
MAIN POINTS FROM TRANSCRIPT
- AI models like GPT and Gemini use transformer architecture for language processing.
- The original transformer model included an encoder and decoder, but chatbots use only the decoder.
- Tokenization converts text into numbers, balancing between full words and individual letters.
- The model predicts the next most probable word to generate coherent text.
TAKEAWAYS
- Transformer architecture is foundational for modern AI language models.
- Decoder-only models are sufficient for chatbot applications like GPT.
- Efficient tokenization is crucial for AI understanding and processing language.
- Despite its simplicity, predicting the next word enables AI to generate complex text.