Discover how autoregressive text generation powers Large Language Models through next-token prediction. Learn about causal language modeling, decoding strategies, and the technical trade-offs of sequential generation.
Explore the differences between Rotary Position Embeddings (RoPE) and ALiBi, two critical techniques enabling modern LLMs to handle long contexts and sequential data efficiently.