Andriy Burkov, author of influential AI books and Machine Learning Lead at TalentNeuron, dives into the fascinating world of language models. He dispels common misconceptions about AI, clarifying that it’s a collection of algorithms rather than a singular entity. Andriy explores the historical significance of traditional AI algorithms and the evolving landscape of language models, including the rise of transformers. He also addresses the limitations of AI in specialized fields and shares tips on effective coding tools that merge with AI for enhanced productivity.
01:05:16
forum Ask episode
web_stories AI Snips
view_agenda Chapters
menu_book Books
auto_awesome Transcript
info_circle Episode notes
insights INSIGHT
AI: Not a Singular Entity
Many think AI is a singular, all-knowing entity.
It's actually a collection of algorithms producing intelligence-like outputs.
insights INSIGHT
Language Models within AI History
AI is more than just language models; language models are a part of AI's broader history.
AI's history started in the mid-20th century, showing it's a continuation of decades of research.
volunteer_activism ADVICE
Simpler Algorithms are Often Better
Use simpler algorithms like logistic regression and Support Vector Machines.
These are often sufficient, sometimes even better than large language models, and much more efficient.
Get the Snipd Podcast app to discover more snips from this episode
This book by Andriy Burkov focuses on the engineering aspects of machine learning, covering topics such as data collection, model deployment, and maintenance. It provides best practices and design patterns for building scalable machine learning solutions, drawing from Burkov's extensive experience in AI and industry insights.
The Hundred-Page Language Models Book
Andriy Burkov
The Hundred-Page Language Models Book by Andriy Burkov offers a hands-on journey from machine learning fundamentals to the cutting edge of modern Large Language Models (LLMs). It covers mathematical foundations, practical implementations in Python, and techniques like prompt engineering and finetuning. The book is designed for developers, data scientists, and machine learning engineers.
Artificial Intelligence, a Modern Approach
Peter Norvig
Blaise Aguera y Arcas
Artificial Intelligence: A Modern Approach, by Stuart Russell and Peter Norvig, is a comprehensive textbook covering various aspects of artificial intelligence. It provides a broad overview of the field, encompassing search algorithms, knowledge representation, reasoning, machine learning, and natural language processing. The book is known for its clear explanations, numerous examples, and extensive coverage of both classical and modern AI techniques. It serves as a valuable resource for students and researchers alike, offering a solid foundation in the principles and applications of AI. Its wide adoption makes it a standard reference in the field.
The Hundred-Page Machine Learning Book
Andriy Burkov
The Hundred-Page Machine Learning Book by Andriy Burkov provides a comprehensive introduction to machine learning, covering key concepts such as supervised and unsupervised learning, model evaluation, and popular algorithms like linear regression and neural networks. It serves as a valuable resource for both beginners and experienced professionals, offering insights into real-world applications and ethical considerations. The book is accompanied by a wiki with additional resources and code examples.
Misconceptions about AI's capabilities and the role of data are everywhere. Many believe AI is a singular, all-knowing entity, when in reality, it's a collection of algorithms producing intelligence-like outputs. Navigating and understanding the history and evolution of AI, from its origins to today's advanced language models is crucial. How do these developments, and misconceptions, impact your daily work? Are you leveraging the right tools for your needs, or are you caught up in the allure of cutting-edge technology without considering its practical application?
Andriy Burkov is the author of three widely recognized books, The Hundred-Page Machine Learning Book, The Machine Learning Engineering Book, and recently The Hundred-Page Language Models book. His books have been translated into a dozen languages and are used as textbooks in many universities worldwide. His work has impacted millions of machine learning practitioners and researchers. He holds a Ph.D. in Artificial Intelligence and is a recognized expert in machine learning and natural language processing. As a machine learning expert and leader, Andriy has successfully led dozens of production-grade AI projects in different business domains at Fujitsu and Gartner. Andriy is currently Machine Learning Lead at TalentNeuron.
In the episode, Richie and Andriy explore misconceptions about AI, the evolution of AI from the 1950s, the relevance of 20th-century AI research, the role of linear algebra in AI, the resurgence of recurrent neural networks, advancements in large language model architectures, the significance of reinforcement learning, the reality of AI agents, and much more.
DataFramed 
