Speculative Speculative Decoding: How Researchers Are Teaching LLMs to Think Ahead of Themselves

A Gentle, Non-Technical Introduction to How Large Language Models Like ChatGPT Work

A non-technical introduction to Large Language Models (LLMs) like ChatGPT, GPT-3/4, Bing Chat, and Bard. The article uses metaphors and plai

Understanding Attention Sinks in Language Models and the StreamingLLM Solution

The article explains why language models fail in long conversations due to the removal of old tokens, leading to gibberish. It introduces th

Emily Bender revisits "Stochastic Parrots": LLMs predict words, don't understand them

Five years after the landmark "Stochastic Parrots" paper, lead author Emily Bender revisits the metaphor and its core argument: that large l

Emily Bender revisits "Stochastic Parrots": LLMs predict words, don't understand them

Five years after the landmark "Stochastic Parrots" paper, lead author Emily Bender revisits the metaphor and its core argument: that large l

From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning

Analyzing Large Language Models' Performance in Text Games

The article discusses the capabilities of large language models like ChatGPT in playing text-based games, highlighting their competitive per

Understanding Continuous Batching in Large Language Models: From Attention Mechanisms to Throughput Optimization

This technical blog post explains continuous batching in large language models (LLMs) by starting from first principles of attention mechani