Abstract:

This transcript captures conversations from the #introductions channel of the fast.ai Discord server between February and November 2025. It showcases a vibrant and diverse community of AI and machine learning enthusiasts, ranging from high school students and career-changers to seasoned software engineers, researchers, and product managers. Members introduce their backgrounds, share their learning goals, and discuss various projects built with or inspired by the fast.ai ecosystem, such as niftiai for 3D medical imaging and tools like fasthtml. Key topics include seeking study partners for the fast.ai course, asking for career advice, collaborating on projects, and discussing emerging technologies like llms.txt. The chat reflects a supportive environment where beginners find guidance, professionals share their expertise, and the community actively engages with the tools and educational content provided by fast.ai and its founders.

Highlights from the fast.ai Community Introductions Channel

• February 7: Introduction of niftiai: User codingfisch introduces "niftiai," a Python package built on fastai for training neural networks on 3D medical images. He highlights its advantages over alternatives like Monai, noting its direct use of Torch for image operations results in significantly faster, CUDA-supported code.
• February 9: Interest in llms.txt: shilman, the lead for the UI workshop Storybook, expresses interest in adding llms.txt support and asks for best practices. Community members and fast.ai founder Jeremy Howard provide official resources and tutorials.
• February 15: Course Study Group Forms: Users C00kie- and GenerativeHuman connect over taking the 2022 fastai course, sharing supplementary resources like Jeremy Howard’s "A Hackers' Guide to Language Models" video to stay current.
• June 23: High-Performance Developer Joins: Nick Nuon, a software developer, introduces his work on high-performance SIMD optimization. He details his contributions to libraries used by Node.js and .NET, which drew praise from Jeremy Howard.
• August 18: Collaboration in Creative AI: Alex Marmalichi, a filmmaker, discusses his interest in applying deep learning to creative workflows. This sparks a connection with Karthik, an ML engineer working on a project to convert ancient epics into cartoons, and they plan to collaborate.
• September 1: Project Showcase and Call for Study Partners: Mohammed Adil shares his "Architecture Style Classifier" project, built using his knowledge from the fastai course. He also actively seeks to form a study group with others who are on the same chapter.
• September 29: Community Support and Encouragement: After user hates announces finishing Part 2 of the course and seeks learning partners, Jeremy Howard personally congratulates them, showcasing the supportive nature of the community.
• October 12: Young Achievers in the Community: A 10th-grade high schooler named justin shares his journey, having started learning with fastai in 7th grade. This highlights the accessibility of the course to young and ambitious learners.
• October 20: Influx of "Solve It With Code" Students: A new wave of members introduces themselves after enrolling in the "Solve It With Code" course. They are primarily experienced software developers looking to effectively integrate AI tools into their workflows and move beyond hype.
• November 5: AI Engineer Seeks Collaboration: An AI engineer with the username ! 𝒮𝑜𝓁𝒶𝓇𝒾𝓏𝓊 provides a detailed introduction of their experience building end-to-end AI systems across multiple domains (multimodal chat, generative video, automation) and states they are open to collaboration.