Weekend Reading on GPT & Generative AI

Here's a curated list of high-quality resources to help you get up to speed on recent advances in GPT and Generative AI. These resources include blog posts, podcasts, and YouTube interviews, and have been validated and proposed by others in the field.

Blog Posts:

• OpenAI Blog (https://openai.com/blog/): This is the official blog of OpenAI, where you can find the latest news and research on GPT and other AI models.
• The Gradient (https://thegradient.pub/): A great blog that covers recent advances in AI and machine learning, including GPT and other generative models.

Podcasts:

• The Artificial Intelligence Podcast (AI with Lex Fridman) (https://lexfridman.com/ai/): A popular podcast hosted by Lex Fridman that frequently features interviews with leading researchers and practitioners in AI, including discussions on GPT and generative models.
• The TWIML AI Podcast (https://twimlai.com/podcasts/): This Machine Learning focused podcast often discusses generative AI models and the latest advancements in AI research.
• Newsletter/Podcast AI Snake Oil: (https://aisnakeoil.substack.com/): A scientific skeptic highlights mistakes and risks in AI.

YouTube Interviews:

• Yannic Kilcher (https://www.youtube.com/c/YannicKilcher): Yannic's YouTube channel offers in-depth explanations of recent AI research papers, including those related to GPT and generative models.
• Two Minute Papers (https://www.youtube.com/c/K%C3%A1rolyZsolnai): This YouTube channel offers brief, accessible explanations of AI and machine learning research papers, with occasional coverage of generative AI advances.

Research Papers and Preprints:

• arXiv (https://arxiv.org/): Many researchers in AI and machine learning post their latest research papers on arXiv, a preprint repository. Searching for "GPT" or "Generative AI" will yield a wealth of resources.

Online Courses and Lectures:

• Stanford CS224N: Natural Language Processing with Deep Learning (https://web.stanford.edu/class/cs224n/): This course covers deep learning techniques for natural language processing and includes material on GPT and generative models.
• Deep Learning Specialization on Coursera (https://www.coursera.org/specializations/deep-learning): A series of courses by Andrew Ng that provides an introduction to deep learning, including techniques used in generative AI models.

You can also stay up-to-date with the latest advancements in AI by following relevant social media accounts and participating in online forums such as the Machine Learning subreddit (https://www.reddit.com/r/MachineLearning/) or the AI Stack Exchange (https://ai.stackexchange.com/).