{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"The Scrimba Podcast","title":"The Path to Becoming an AI Engineer with Scrimba CEO Per Borgen","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/04333971\"></iframe>","width":"100%","height":180,"duration":2907,"description":"🎙 About the episode\nMeet Per Borgen 🇳🇴! Scrimba's co-founder and CEO returns to the show after more than two years. In this episode, Per and Alex delve into the emergence of a new breed of developer—the AI engineer.\n\nWhat defines an AI engineer? What key skills set them apart? Is machine learning knowledge a prerequisite? Why did ChatGPT bring a paradigm shift in our interaction with AI? Dive into these topics, discover how to utilize and personalize existing AI models, and explore alternative options beyond OpenAI.\n\nSince the Scrimba podcast always brings you practical advice, this episode is a guide to the AI engineer stack. Prepare to take notes as Per unravels the terminology and technology crucial for navigating the AI landscape as a developer.\n\nThis episode begins a five-part series on AI engineering, introducing Scrimba's AI Engineer Path.\n🔗 Connect with Per\n👨‍💼LinkedIn\n🐦 Twitter\n⏰ Timestamps\nScrimba's launching its AI Engineer Path! 🎉 (03:11)\nWhy an AI path is so critical at the moment (04:01)\nWhy AI engineering is not just a fad (07:32)\nCommunity Break with Jan the Producer (10:41)\nWhy ChatGPT brought a change in the way we perceive AI, and what's the difference between discriminative and generative AI (11:40)\nWhat's the difference between GPT and ChatGPT (15:50)\nWhat companies build AI tools for developers other than OpenAI? (21:50)\nHuman + AI is still better than just AI (23:11)\nThe context is the product (24:56)\nTuning a foundation model - data are the secret sauce (28:53)\nWhat is an AI engineer (29:54)\nHow is AI engineering different from prompt engineering? (31:20)\nHow's an AI engineer different from a data scientist or a machine learning engineer (32:04)\nOpenAI vs open-source alternatives (34:11)\nMaking sense of the AI engineering stack (36:26)\nHuggingFace has machine-learning models that can run in a browser! (39:15)\nWhat is RAG and how to perform it (39:59)\nWhat is LangChain (41:55)\nHow's the AI path structured? (45:29)\n🧰 Resources Mentioned\nThe...","thumbnail_url":"https://img.transistorcdn.com/3qNz-AxOjZ6Oiowf_zRLRsZeOxv5p7FYbB0-kA5vS6A/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzE1Njg5LzE3MDE4/MDIzOTYtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}