A conversation with Aniket Maurya who is a Developer advocate at Lightning AI as well as a Machine Learning Engineer. In the episode we talk about a lot of different things, Lightning, open source machine learning, and touch on topics such as GPT4, developer workflow, and advice for people learning about ML. ❤️ Support the channel ❤️ null Paid Courses I recommend for learning (affiliate links, no extra cost for you): ⭐ Machine Learning Specialization https://bit.ly/3hjTBBt ⭐ Deep Learning Specialization https://bit.ly/3YcUkoI 📘 MLOps Specialization http://bit.ly/3wibaWy 📘 GAN Specialization https://bit.ly/3FmnZDl 📘 NLP Specialization http://bit.ly/3GXoQuP ✨ Free Resources that are great: NLP: https://web.stanford.edu/class/cs224n/ CV: http://cs231n.stanford.edu/ Deployment: https://fullstackdeeplearning.com/ FastAI: https://www.fast.ai/ 💻 My Deep Learning Setup and Recording Setup: https://www.amazon.com/shop/aladdinpersson GitHub Repository: https://github.com/aladdinpersson/Machine-Learning-Collection ✅ One-Time Donations: Paypal: https://bit.ly/3buoRYH ▶️ You Can Connect with me on: Twitter - https://twitter.com/aladdinpersson LinkedIn - https://www.linkedin.com/in/aladdin-persson-a95384153/ Github - https://github.com/aladdinpersson Timestamps: 0:00 - Introduction 1:00 - Lightning 05:30 - Overview of (Lit) packages 07:40 - Journey to join Lightning team 10:10 - Lightning 2.0 15:00 - GitHub & Slack, and contributing 18:25 - TensorFlow, PyTorch & Jax 23:10 - FastAI and Flash 25:10 - GPT4, AI safety and openness 31:55 - MLOps and Deployment 33:20 - Developer Advocate 36:00 - CoPilot & ChatGPT 40:45 - IDE and programming workflow 44:10 - Next steps for Lightning 49:10 - Learning Machine Learning 52:40 - Advice for beginners 1:01:21 - How important is a degree? 1:05:00 - Following curiosity and interest 1:06:50 - Ending