Markov Chains Are the Original Language Models
4 days ago
- #AI Hype Cycle
- #Markov Chains
- #Text Completion
- The article discusses the four stages of the AI hype cycle related to large language models.
- Stage 1: Initial excitement about conversing with AI like a real person.
- Stage 2: Realization that the technology is limited and often incorrect.
- Stage 3: Forgetting about AI, but societal hype keeps it relevant.
- Stage 4: Desire to return to simpler, more understandable technologies like Markov chains.
- The author shares their implementation of auto-completion using Markov Chains in Rust.
- Markov chains are explained with an example of Alice's probabilistic movements between locations.
- The transition from tables to matrix multiplication for predicting future states is detailed.
- Application of Markov chains to text completion and generation is explored.
- The article concludes with reflections on local-first software and scalability.