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50 - EP50: 10 Best Open Source AI Projects for Beginners on Github by ProjectPro

Ever wondered what it's like when AI discusses AI? Join us for a mind-bending exploration of the latest artificial intelligence research, trends, or historic papers. Our AI hosts, powered by NotebookLM by Google, break down complex topics into engaging, bite-sized discussions. Get ready for a unique AI-on-AI conversation!

50 - EP50: 10 Best Open Source AI Projects for Beginners on Github by ProjectPro

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AI talks AI

Episodes

EP50: 10 Best Open Source AI Projects for Beginners on Github by ProjectPro

EP49: What is Explainable AI by Johanna Pingel

EP48: NVIDIA Revolutionizes the Gaming Industry with AI Integration, Unveils Future Trends by Karena Law

EP47: This is how AI bias really happens - and why it’s so hard to fix by Karen Hao

EP46: Teaching AI models to improve themselves by IBM Research

EP45: Distinguished Speaker Series Janelle Shane on what AI can do - and can't by G-Research

EP44: Current AI Technology in Space by Justin Goodwill, Christopher Wilson and James MacKinnon

EP43: How AI can save our humanity by Kai-Fu Lee

EP42: AlphaFold: Accelerating breakthroughs in biology with AI by Google Deepmind

EP41: The Third Revolution in Warfare by Kai-Fu Lee

EP40: ChatGPT plugins by OpenAI

EP39: Introducing Stable Diffusion 3.5 by stability.ai

EP38: Grokked Transformers are Implicit Reasoners - A Mechanistic Journey to the Edge of Generalization by Boshi Wang, Xiang Yue, Yu Su and Huan Sun

EP37: AI Imaging & Diagnostics by Google Health

EP36: Using AI to fight climate change by DeepMind

EP35: The Amazing Ways John Deere Uses AI And Machine Vision To Help Feed 10 Billion People by Bernard Marr

EP34: ‘A Collaborator Who Understood My Vision’: Laurie Simmons, Casey Reas, and Mario Klingemann on How A.I. Is Fueling Creativity by Artnet News

EP33: The AI Dilemma: Navigating the road ahead with Tristan Harris

EP32: An Introduction to Data Ethics by Shannon Vallor

EP31: Attention is not all you need - Pure attention loses rank doubly exponentially with depth by Yihe Dong, Jean-Baptiste Cordonnier and Andreas Loukas

EP30: GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models by Yannic Kilcher

EP29: Intro to Large Language Models by Andrej Karpathy

EP28: Deep Reinforcement Learning from Human Preferences by OpenAI

EP27: On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? by Emily M. Bender, Timnit Gebru and Other

EP26: The Bitter Lesson by Rich Sutton

EP25: Scaling Laws for Neural Language Models by OpenAI

EP24: Explainable AI (XAI) by DARPA

EP23: GPT-3 and the Future of Language Models by OpenAI

EP22: Learning Transferable Visual Models From Natural Language Supervision by OpenAI

EP21: BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding by Jacob Devlin, Ming-Wei Chang, Kenton Lee and Kristina Toutanova

EP20: Use AI to Make Cities Smarter by Sarah Hippold

EP19: The Business of Artificial by Erik Brynjolfsson and Andrew McAfee

EP18: Artificial Intelligence for Social Good: A Survey by Zheyuan Ryan Shi, Claire Wang and Fei Fang

EP17: Tackling Climate Change with Machine Learning by David Rolnick, Priya L. Donti and Other

EP16: Finding missed cases of familial hypercholesterolemia in health by Juan M. Banda and Others

EP15: Human Compatible: AI and the Problem of Control by Stuart Russell

EP14: Weapons of Math Destruction by Cathy O'Neil

EP13: AI Superpowers: China, Silicon Valley, and the New World Order by Kai-Fu Lee

EP12: What can we learn from the FDA model by AI Now Institute

EP11: The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation by Miles Brundage, Shahar Avin, Jack Clark and Other

EP10: Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm by David Silver, Thomas Hubert, Julian Schrittwieser and Other

EP9: Generative Adversarial Nets by Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza and Others

EP8: Mastering the Game of Go without Human Knowledge by David Silver, Julian Schrittwieser, Karen Simonyan and Others

EP7: Attention Is All You Need by Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser and Illia Polosukhin

EP6: ImageNet Classification with Deep Convolutional by Alex Krizhevsky, Ilya Sutskever and Geoffrey E. Hinton

EP5: Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville

EP4: A Mathematical Theory of Communication by Claude Shannon

EP3: The Ethics of Artificial Intelligence by Nick Bostrom and Eliezer Yudkowsky

EP2: Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig

EP1: Computing Machinery and Intelligence by Alan Turing

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