“ How Diffusion Models Work” taught by Lamini CEO Sharon Zhou: Diffusion models enable Midjourney, DALL♾ 2, and Stable Diffusion to generate beautiful images from a text prompt.We also discuss the cutting-edge (and experimental) agents framework for using an LLM as a reasoning engine that can decide for itself what steps to take next, such as when to call an external subroutine. You’ll learn how to use LangChain’s tools to make these operations easy. Complex applications - for example, a QA (Question Answering) system to answer queries about a text document - require prompting an LLM multiple times, parsing the output to feed to downstream prompts, and so on thus, there’s a lot of “glue” code needed. “ LangChain for LLM Application Development” taught by LangChain CEO Harrison Chase and me: LangChain is a powerful open-source tool for building applications using LLMs.You’ll come away with a deeper understanding of how LLMs work (including tokenization and how the chat format works) and how this affects your applications, and gain a solid foundation for building applications using LLMs. You’ll also learn how to check LLM outputs for safety and accuracy and how to systematically evaluate the quality of an LLM’s output to drive iterative improvements. “ Building Systems with the ChatGPT API” taught by returning instructor Isa Fulford and me: This course goes beyond writing individual prompts and shows you how to break down a complex task - such as building a customer-service assistant system - into simpler tasks that you can accomplish via multiple API calls to a large language model (LLM).I’m thrilled to announce three more short courses, available today: Sonalytic’s expertise is in the area of song identification, giving Spotify access to greater copyright control for songs, but also improving its personalised playlists.Īnother start-up Spotify acquired was Dublin-based Soundwave, which, in 2016, entered into the company’s ranks offering technology to track what songs people are listening to on their smartphones in real time.In April, DeepLearning.AI launched a short course, “ ChatGPT Prompt Engineering for Developers,” taught by OpenAI’s Isa Fulford and me. As recently as March, it announced the purchase of Sonalytic, a music discovery company. This marks yet another start-up acquisition for Spotify. Its AI also analyses the rhythms and beats of the song, tagging each one to help it learn more about the user’s music tastes for future recommendations. Niland’s technology allows music streaming services to read acoustic similarity between songs by extracting a signature from each one to find the subtle differences between music moods. “Their innovative approach to AI and machine learning-based recommendation systems is a perfect fit for the Spotify team.” Not the first acquisition “Niland has changed the game for how AI technology can optimise music search and recommendation capabilities, and shares Spotify’s passion for surfacing the right content to the right user at the right time,” Spotify said. In a statement, the Swedish outfit said it had acquired French AI start-up Niland, a company focused solely on optimising music search using machine learning. One such area is artificial intelligence (AI), in order to make recommendations much more accurate, and Spotify hopes its latest acquisition will give it this power. This has resulted in a services arms race between Spotify and rivals such as Apple Music, Google Play and Tidal to create the ‘killer app’ that will give it a major advantage. While Spotify has established itself as the dominant on-demand music streaming service out there, its competitors are now more numerous than ever before, and backed by corporate giants. In an effort to stay ahead of its competition, Spotify has snapped up a French AI start-up to make its recommendations a lot smarter.
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