Eugene Yan's website (https://eugeneyan.com/) serves as a platform where he shares insights, knowledge, and experiences related to data science, machine learning, and personal development. Eugene Yan is known for his expertise in the field of data science and frequently publishes articles on various topics such as machine learning algorithms, data visualization techniques, career advice for data professionals, and more. Visitors to his website can find a wealth of valuable resources, tutorials, and thought-provoking content that cater to both beginners and experienced practitioners in the data science community. Additionally, Eugene Yan often engages with his audience through blog posts, newsletters, and social media channels to foster a vibrant and supportive community of data enthusiasts.
The website https://karpathy.ai/ belongs to Andrej Karpathy, a prominent figure in the field of artificial intelligence and machine learning. Andrej Karpathy is known for his significant contributions to the development of deep learning models and algorithms. His website serves as a hub for showcasing his research, projects, publications, and insights into the latest advancements in AI and machine learning. Visitors to the site can explore a wealth of resources, including blog posts, research papers, tutorials, and open-source projects that reflect Andrej Karpathy's expertise and passion for advancing the field of artificial intelligence. Additionally, the website may feature information about speaking engagements, workshops, and other events where Andrej Karpathy shares his knowledge and expertise with the broader AI community.
Simon Willison is a prolific web developer with over 25 years of experience building websites and web applications. His personal blog at https://simonwillison.net/ covers a wide range of topics related to AI, Python, JavaScript, databases, APIs, serverless computing, and more.
Vicki is a machine learning engineer currently working at Mozilla.ai, focusing on Large Language Models (LLMs) and LLM infrastructure. Prior to this, she has worked at Duo, Tumblr, Automattic, and Comcast. Vicki's interests in machine learning span Recsys search, MLOps and production, and distributed systems. She enjoys reverse-engineering neural networks and machine learning systems.
Vicki's side project, Viberary, is a platform that recommends books based on vibe. She has written a paper on embeddings approaches, which can be found at DOI: 10.5281/zenodo.8015029. Vicki documents her learnings and has served as a technical editor for publications such as "Building Recommendation Systems" and "SQL for Data Scientists". She has also written for Increment Mag, contributing articles like "The Best-Laid Plans" and "Architecture for Generations".
You can contact Vicki at [email protected].
Answer.AI is a new kind of AI R&D lab which creates practical end-user products based on foundational research breakthroughs. To learn more about the research agenda and background behind our work, see our launch post and an independent analysis of our lab. See below for a complete list of published articles.
url: https://www.answer.ai/
title: "Answer.AI - Answer.AI - Practical AI R&D"
description: "Practical AI R&D"
host: www.answer.ai
ML Spring
Join 6000+ readers to master AI Engineering and stay ahead of the curve! 🚀
url: https://mlspring.beehiiv.com/
title: "ML Spring"
description: "Join 6000+ readers to master AI Engineering and stay ahead of the curve! 🚀"
host: mlspring.beehiiv.com
favicon: https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/publication/logo/39426994-01e5-416d-ad8a-4427d2705032/thumb_Screenshot_2023-07-04_at_8.40.02_AM.png
image: https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/publication/thumbnail/39426994-01e5-416d-ad8a-4427d2705032/landscape_mlspring_thumbnail.png
Musings on user agency in computing and the future of programming tools
url: https://www.geoffreylitt.com/2023/03/25/llm-end-user-programming
title: "Malleable software in the age of LLMs"
description: "All computer users may soon have the ability to author small bits of code. What structural changes does this imply for the production and distribution of software?"
host: www.geoffreylitt.com
image: https://geoffreylitt.com/images/article_images/llm-eup/robot-coding.png
url: https://www.geoffreylitt.com/2023/07/25/building-personal-tools-on-the-fly-with-llms
title: "Codifying a ChatGPT workflow into a malleable GUI"
description: "Wouldn't it be neat if you could use LLMs to create little personal utility apps as the need arises? Here's a story where I did just that..."
host: www.geoffreylitt.com
image: https://geoffreylitt.com/images/article_images/texting-app-teaser.png
url: https://www.geoffreylitt.com/2023/01/08/for-your-next-side-project-make-a-browser-extension
title: "For your next side project, make a browser extension"
description: "Reflections on the benefits of tweaking an existing app, instead of starting from scratch."
host: www.geoffreylitt.com
image: https://geoffreylitt.com/images/article_images/gears.jpg
url: https://www.geoffreylitt.com/2020/09/21/twitter-and-media-for-sketching
title: "How tweet threads cured my writer's block: Twitter as a medium for sketching"
description: "Twitter is a powerful <b>medium for sketching</b>: a tool for fluidly developing ideas in realtime. What can we learn from its design? I think it shows us the power of 1) the right constraints, 2) low barriers to starting and finishing, and 3) a social context."
host: www.geoffreylitt.com
image: https://geoffreylitt.com/images/gradient.jpg