HockeyStick #2 - LLMs in production - Chris Brousseau & Matt Sharp

HockeyStick Show

Decoding the Past, Present, and Future of Language Models

Delve into the realm of language models with a comprehensive exploration spanning from the foundational Bag of Words approach to the revolutionary technologies of Transformers and GPT. This script not only unpacks the technical evolution and mathematical underpinnings of natural language processing but also projects the future trajectory of these models. It highlights expert insights on the societal impacts, the convergence of artificial intelligence with human cognition, and the ethical considerations of AI progression. Moreover, the discussion extends to the significance of open-source efforts in shaping this dynamic field. Aiming to provide a profound understanding, this guide navigates through the complex landscape of AI, language models, and their implications on future technology and society.

0:00 Welcome to HockeyStick: Unveiling the Power of LLMs

01:08 Meet the Experts: From Meetups to Authorship

03:16 The Hockey Stick Moment for LLMs: Breakthroughs and Realizations

07:48 Coding with LLMs: The New Frontier for Developers

15:39 The Pitfalls and Limitations of LLMs in Practice

21:43 Building vs. Buying LLMs: Navigating the Trade-offs

32:43 The Cost of Crafting Your Own LLM: Insights and Advice

42:48 Deciphering LLMs: A Crash Course in Language Features

50:44 Defining Language: A Philosophical Dive

51:33 Exploring the Essence of Language and Communication

54:31 Diving into Language Models and Their Evolution

55:08 From Bag of Words to N-Grams: The Evolution of Language Understanding

58:35 The Leap to Bayesian Techniques and Markov Chains

01:01:24 The Breakthrough of Continuous Bag of Words and Embeddings

01:09:43 Unveiling the Power of Multilayer Perceptrons

01:15:08 The Revolution of Attention Mechanisms and Transformers

01:26:37 The Hall of Fame: Landmark Models in the LLM Landscape

01:35:06 Predicting the Future of Language Models and OpenAI's Position

01:38:48 Concluding Thoughts and the Future of AI Research