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HockeyStick #2 - LLMs in production - Chris Brousseau & Matt Sharp
Manage episode 411258356 series 3558558
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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
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