Finally! We have released version 0.1 of fastMONAI, a low-code Python-based deep learning library for medical imaging built on top of @fastdotai, @ProjectMONAI, and @TorchIOLib. You can install the library using pip and download the tutorial notebooks here: https://t.co/nxhxle2Xdk

18 months ago, @karpathy set a challenge: "Can you take my 2h13m tokenizer video and translate [into] a book chapter". We've done it! It includes prose, code & key images. It's a great way to learn this key piece of how LLMs work. https://t.co/aSgsZz0VxO

Knowledge makes the world so much more beautiful.

+1 for "context engineering" over "prompt engineering". People associate prompts with short task descriptions you'd give an LLM in your day-to-day use. When in every industrial-strength LLM app, context engineering is the delicate art and science of filling the context window

@karpathy Perfect timing, we are just about to publish TextArena. A collection of 57 text-based games (30 in the first release) including single-player, two-player and multi-player games. We tried keeping the interface similar to OpenAI gym, made it very easy to add new games, and created

Nice post on software engineering. "Cognitive load is what matters" https://t.co/eMgxu0YgWw Probably the most true, least practiced viewpoint.

Had an inspiring weekend at Lerøy’s motivational gathering celebrating our 125th anniversary! It was a pleasure to present our MLOps setup and showcase the potential of GenAI to my colleagues In collaboration with the HR department, we launched our very own HR assistant, Mikkel,

This is an interesting overview of what it is like to actually build production software with today's LLMs. It also shows how weird LLMs are to work with from a software perspective & how much we have to learn. It is why I stress co-intelligence for now.

AIR #8: Fra materialteknologi til samfunnstransformasjon. Få med deg de siste spennende utviklingene innen kunstig intelligens, i den nyeste utgaven av AI-Resonans:

Unleash the power of Low Code! 🧑‍💻Thank you @skaliy3 for creating fastMONAI and collaborating on this Educational Exhibit CAEE-77.🫀 #RSNA2023 #RSNA23 Thank you @drrajeshpahwa for the pic.

New YouTube video: 1hr general-audience introduction to Large Language Models https://t.co/Bl4WNuNyFJ Based on a 30min talk I gave recently; It tries to be non-technical intro, covers mental models for LLM inference, training, finetuning, the emerging LLM OS and LLM Security.

The first rule of Machine Learning: Do not start with machine learning. To a hammer, everything looks like a nail. I struggle with this daily. Companies call me because they want to use machine learning. It's always tempting to start the conversation there. Yet, machine

PhD defended✅ Huge thanks to my supervisor @AlexanderSelvi7 , co-supervisors @Ingfri and @ErlendHodneland , the committee members, and colleagues at @BergenMMIV! 📄 Link to my thesis can be found here: https://t.co/cnNMuwISCe @hvl_no @HelseVest @mohnfoundation

Good luck to the my friend and former colleague @skaliy3 on his public PhD defense today! I am following from down under 🇦🇺

@skaliy3 @BergenMMIV @haukeland_no @hvl_no defending his thesis entitled “Deep learning in medical image analysis: efficient use of data and radiological expertise“. 💪👍👌 Follow on Zoom: https://t.co/LliAEEH8AH. https://t.co/Iuz00NVRxp

The library’s design addresses domain-specific demands while promoting best practices, facilitating efficient model development for tasks like classification, regression, and segmentation. @AlexanderSelvi7 @BergenMMIV @hvl_no #MedicalImaging #DeepLearning #OpenSource #MedicalAI

Our paper, "fastMONAI: A low-code deep learning library for medical image analysis" has been published in Software Impacts! The library draws upon the strengths of @fastdotai, @ProjectMONAI, and @TorchIOLib. 💻 Repo: https://t.co/nxhxle2Xdk 📄 Full paper:

Wonderful @BergenMMIV social event at Elin’s place on Austevoll. Nice to gather these enthusiastic imaging- and AI scientists over the Summer. 👌👍 🎉😀@PRESIMAL_ @@AlexanderSelvi7 @skaliy3 @FrankRiemer10 @EliEikefjord @_Laura_Garrison @Picus22 @LeilaMarieFrid @LeifOltedal

🎥Video tutorial available: https://t.co/qQsEz0K0Te. Plus, build a simple app with @Gradio that can be hosted on @hugginface Spaces. We also have tutorials focusing on regression and segmentation tasks. Stay tuned for more updates!

Interested in working with 3D medical images in a low-code environment like @fastdotai? Dive into fastMONAI( https://t.co/58obozS9w5) and explore our lung nodule classification notebook using the NoduleMNIST3D dataset: https://t.co/2junFTrx4U. Try it directly on Colab!

Flott intervju med @FrankRiemer10 @BergenMMIV av @TV2 reporter @IvarRii om avansert bildediagnostikk og AI for å bidra til bedre hjernehelse! https://t.co/BJZjk1KFy1 @skaliy3 @haukeland_no @UiB @hvl_no @mohnfoundation @AslakLaks @NSysmed @medofak_uib @eivind_hansen @elirenate