Super data science podcast with Jon Krohn: AI conversations
You will learn: Pros and cons of self-publishing and working with a publisher Matt's six tips for using Pandas The best way for corporate teams to level up their skills How to learn anything effectively Matt's tricks for staying motivated Matt's recommendations for using Git and the U...
| Format: | eBook |
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| Language: | English |
| Published: |
[Place of publication not identified]
Pearson
2024
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| Collection: | O'Reilly - Collection details see MPG.ReNa |
| Summary: | You will learn: Pros and cons of self-publishing and working with a publisher Matt's six tips for using Pandas The best way for corporate teams to level up their skills How to learn anything effectively Matt's tricks for staying motivated Matt's recommendations for using Git and the Unix command line Matt's recommended software libraries for working with tabular data Wes McKinney: Open-Source Analytical Computing (pandas, Apache Arrow) In this episode we take... You will learn: Supply and demand in AI recruitment Kirill's new course on LLMs, "Large Language Models (LLMs), Transformers & GPT A-Z" The learning difficulty in understanding LLMs The basics of LLMs The five building blocks of transformer architecture Input embedding Positional encoding Attention mechanism Feedforward neural network Linear transformation and softmax Inference vs training time Why transformers are so powerful Professor Joey Gonzalez: Vicuña, Gorilla, Chatbot Arena and Socially Beneficial LLMs Joey Gonzalez speaks with Jon Krohn about LLM models and platforms, how Berkeley students leveraged the Llama LLM with data from ShareGPT to produce Vicuña, smart ways to evaluate and rank LLM models, and the prospects for AI and open-source options in the near future. "Listen to Dr. Jon Krohn's compelling interviews with the leading experts in data science, artificial intelligence, and machine learning. Series Description Discover the world of data science, machine learning, and AI through insightful conversations on the Super Data Science Podcast. Dr. Jon Krohn explores the latest industry trends, career advice, and the real-world impact of data-driven technologies. Whether you're a data science newbie, a seasoned professional, or simply fascinated by the power of AI, this podcast is for you. Jon interviews many of the biggest names in the field, explores cutting-edge techniques, and uncovers the practical applications of data analysis, predictive modeling, and machine learning. As the author of 'Generative AI in Practice: 100+ Amazing Ways Generative Artificial Intelligence is Changing Business and Society,' he explains how this technology is revolutionizing industries, enhancing daily life, and solving pressing global issues. From the entertainment industry to medical settings, learn how a future led by Generative AI will impact you. You will learn: How Generative AI will transform industries The evolution of Generative AI How will Generative AI impact daily life The ethical challenges of AI How corporations can harness Generative AI for collaboration Industries that will be impacted by Generative AI How Sora-like Generative AI systems will create highly immersive entertainment How Generative AI could unlock 99% of business data Jason Warner: A Code Specialized LLM will Realize AGI Jason Warner, CEO of poolside, discusses the advantages of code-specialized LLMs over generalized models such as GPT-4, highlighting their significant value to the coding community. He also predicts a paradigm shift to an ""AI-led, developer-assisted"" approach, driven by the potential of specialized LLMs to accelerate the development of AGI through their training on complex, multi-step logic code. You will learn: The relationship between data science and cyber security The importance of low-latency for an optimal gaming experience The future of gaming Carly's thoughts on the Metaverse Carly's favorite operating systems, software packages, and keyboards How to transition from a quantitative academic background into data science Why Carly's called the "Rebel Data Scientist" How to file a patent Matt Harrison: Effective Pandas In this episode, Matt Harrison joins us to reveal his best Pandas tips, tricks and best practices to help you get the most out of the Python data analysis library. With publications in NeurIPS, ICLR, ICML, and Science, Dr. Liu offers her expertise and vision for the future of machine learning. You will learn: How the ML Collective came about The concept of a failure CV ML Collective research topics How Dr. Liu's work on the "intrinsic dimension" of deep learning models inspired the now-standard LoRA approach to fine-tuning LLMs The pros and cons of curiosity-driven vs. goal-driven ML research Discussion on Dr. Liu's research and papers Character-aware vs. character-blind text encoding The positive impacts of diversity, equity, and inclusion in the ML community Sol Rashidi: Ensuring Successful Enterprise AI Deployments In this episode, Jon Krohn welcomes Sol Rashidi, a seasoned executive and author, to explore successful enterprise AI and pressing AI issues in the corporate world. They discuss the frequent turnover in C-suite roles, particularly among Chief Data Officers, and reveal which AI projects have the highest chance of success. You will learn: Vicuña: How the revolutionary LLM came to be Chatbot Arena: The leading LLM leaderboard Trusting LLM results Gorilla: The open-source ChatGPT plugin alternative About LMSYS and long context windows Open- vs closed-source LLMs: Which is better? Aqueduct Founding GraphLab How AI will positively impact society in the coming decades Professor Raluca Ada Popa: Generative A.I. without the Privacy Risks Confidential computing, securely using generative AI APIs, and the ongoing debate of open-source versus closed-source AI development are top topics of discussion this week as we welcome Dr. Raluca Ada Popa, renowned computer scientist, entrepreneur, and President of Opaque Systems, to the podcast. Together with Jon Krohn, she talks about the benefits and complexities of operating compute pipelines across multiple cloud providers. Sol also demystifies the patent process and its importance across different industries. Join us for an episode filled with practical advice and expert insights into managing AI in complex corporate environments. You will learn: How CDOs and related roles have such high turnover because The importance of building relationships in AI projects How Sol's book "The AI Survival Guide" came about How high-criticality, low-complexity AI projects are the ones with the highest probability of success How Enterprise data security issues can be resolved with technologies like Protopia's stained-glass data-masking solution Why having great data engineers is essential The value of patents Bernard Marr: Generative AI in Practice Bernard Marr, a world-renowned futurist and leading voice in technology, breaks down the power of generative AI and its transformative potential. You will learn: What is a confidential computing platform? How to get started with confidential computing The challenges of confidential computing and LLMs How to safeguard your data while using commercial LLMs like GPT-4 Open-source vs closed-source Raluca's PreVail cybersecurity company Combining entrepreneurship and academic career DARE Program Carly Taylor: Machine Learning for Video Games Have you ever considered how machine learning affects your gaming experience? If you're like us, you probably have! That's why we're excited to welcome Activision's Carly Taylor to the SuperDataScience podcast and dive into machine learning for video games. As the Lead ML Engineer for the iconic Call of Duty, Carly uses ML to detect and minimize disruptive behavior in the game, and this week she's here to shed light on the importance of low-latency, the future of gaming, her thoughts on the metaverse, and so much more. Get ready to transform your career and change the world with data! Related Learning Book: Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence Video: Deep Learning with TensorFlow, Keras, and PyTorch Video: The Essential Machine Learning Foundations: Math, Probability, Statistics, and Computer Science (Video Collection) Live Training by Jon Krohn Playlist: Jon Krohn's AI Catalyst Playlist Roseanne Liu: Deep Learning Classics and Trends Dr. Rosanne Liu, Research Scientist at Google DeepMind and co-founder of the ML Collective, shares her journey and the mission to democratize AI research. She explains her pioneering work on intrinsic dimensions in deep learning and the advantages of curiosity-driven research. Jon and Dr. Liu also explore the complexities of understanding powerful AI models, the specifics of character-aware text encoding, and the significant impact of diversity, equity, and inclusion in the ML community. You will learn: Complex ideas about AI's future in coding Poolside's unique approach to high-quality code and a training set refined for relevance and impact The broader context of software development, promising a significant leap in how AI aids in coding Kirill Eremenko: Technical Intro to Transformers and LLMs Attention and transformers in LLMs, the five stages of data processing, and a brand-new Large Language Models A-Z course: Kirill Eremenko joins host Jon Krohn to explore what goes into well-crafted LLMs, how to scale them, and how to succeed as a data scientist in this new age of generative AI. |
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| Physical Description: | 1 audio file |
| ISBN: | 9780135415078 |