GEPA introduces a novel prompt optimization approach that uses natural language reflection and Pareto-based evolutionary search to optimize compound AI systems, achieving superior performance compared to reinforcement …
Markov Chains: The Original Language Models Markov chains represent the foundational approach to language modeling that predates modern LLMs by decades. Understanding their mechanics reveals both the evolution of text …
Building Character-Level Language Models: From Bigrams to GPT-2 Character-level language models predict the next character in a sequence by learning patterns from training data. This tutorial builds these models …
