AI unveiled
AI Unveiled Hosted by Sinan Ozdemir Listen to expert Sinan Ozdemir demystify AI and its technical, ethical, and legal impacts Series Description: AI Unveiled, hosted by Sinan Ozdemir, is an in-depth audio series that explores the multifaceted realm of artificial intelligence. The show guides listene...
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| Format: | eBook |
| Language: | English |
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[Place of publication not identified]
Pearson
2023
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| Edition: | [First edition] |
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| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
| Summary: | AI Unveiled Hosted by Sinan Ozdemir Listen to expert Sinan Ozdemir demystify AI and its technical, ethical, and legal impacts Series Description: AI Unveiled, hosted by Sinan Ozdemir, is an in-depth audio series that explores the multifaceted realm of artificial intelligence. The show guides listeners through the technical intricacies of AI, the ethical dilemmas, and the legal implications of AI training data, touching upon issues like copyright infringement and intellectual property rights. Not shying away from the controversies, the series also investigates the line between moderation and censorship in AI outputs. Join Sinan as he pulls back the curtain on the challenges and ethical quandaries inherent in developing, fine-tuning, and deploying AI, all while shedding light on the future opportunities and risks. Related Learning: Book: Quick Start Guide to Large Language Models Video: Quick Guide to ChatGPT, Embeddings and Other Large Language Models Video: Introduction to Transformer Models for NLP Live Training: https://learning.oreilly.com/search/?q=sinan%20ozdemir&type=live-event-series Episode 1 Complete the sentence--Introduction to LLMs and Chat___ Host Sinan Ozdemir talks through the evolution and impact of language models like ChatGPT, exploring their technological underpinnings, ethical challenges, and transformative role in search engines, coding, and more. Episode 2 Critical Reasoning--A look at the current state of LLMs Sinan Ozdemir explores the ethical and practical limitations of Large Language Models like ChatGPT. He questions who gets to build and control these powerful tools, while also shedding light on their inability to perform tasks requiring deep critical reasoning or moral judgment. Episode 5 As an AI language model I've been aligned with human feedback Sinan Ozdemir explores the critical topic of AI alignment, focusing on methods like RLHF and RLAIF. He discusses OpenAI's InstructGPT as a milestone in making large language models more attuned to human instructions. Sinan also addresses the ethical and financial implications of AI alignment, pointing out its importance not just for industry giants but for small-scale developers as well. Episode 6 Who said that?--The hidden biases in LLMs Sinan Ozdemir delves into the urgent issue of biases in Large Language Models, using real-world examples from text-to-image generation models like Stable Diffusion and ERNIE-ViLG. He explores how cultural values manifest in these models and questions the ethical implications of Western-centric training data. The episode also tackles the emerging legal challenges facing AI giants like OpenAI and Meta, including issues of copyright infringement and enterprise liability. Episode 3 The haves and the have nots--Training LLMs Sinan Ozdemir delves into the financial disparities in the world of Large Language Models. Big tech firms can spend millions to develop advanced models, putting mid-sized and small companies at a disadvantage. However, the rise of open-source initiatives and educational resources offers some hope for leveling the playing field. The episode emphasizes the need for more equitable access to AI technologies. Episode 4 Perfect, The enemy of good--Evaluating LLMs Sinan Ozdemir discusses the challenges of evaluating Large Language Models. He highlights the limitations and advantages of two key methods: offline evaluation, which uses past data, and online evaluation, which assesses real-world impact. The episode calls for more comprehensive, hybrid evaluation methods to ensure models are effective and ethical. The conversation underscores the complexity of biases in AI and prompts listeners to consider the ethical and legal ramifications. Sinan Ozdemir is founder and CTO of LoopGenius, where he uses state-of-the-art AI to help people create and run their businesses. He has lectured in data science at Johns Hopkins University and authored multiple books, videos and numerous online courses on data science, machine learning, and generative AI. He also founded the recently acquired Kylie.ai, an enterprise-grade conversational AI platform with RPA capabilities. Sinan most recently published Quick Guide to Large Language Models, and launched a podcast audio series, AI Unveiled. Ozdemir holds a master's degree in pure mathematics from Johns Hopkins University. About Pearson Audio Learning Pearson publishes expert-led audio learning so you can dip into today's most important tech topics--wherever you are, wherever you go. Listen to industry leaders share first-hand experience, insights, and best practices using essential and emerging technologies |
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| Item Description: | "Audio." |
| Physical Description: | 1 sound file (1 hr., 2 min.) |
| ISBN: | 9780138364885 |