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#FastAI #AICertification #MachineLearning #DeepLearning #EdChart #Credly #AIFrameworks #OpenSourceAI

Speed matters, and this post delivers 6 tools that don’t mess around. Think AI that crunches research or streamlines coding faster than the big names. It’s less about flash and more about results—perfect for advanced users who value output over branding. The thread’s open for discussion, so you might snag extra insights too. https://x.com/thetripathi58/status/1902755459335073865 #FastAI #Coding #Results ~

Has anyone read the #FastAI "Deep learning for coders" book recently?

I got stuck at the very first chapter and it looks like I'm not alone https://github.com/fastai/course22-web/issues/42

#AI #learning #ml #deeplearning

"We've now created our first deep learning neural network from scratch. And we did it in Microsoft Excel, everyone's favorite artificial intelligence tool."

- Jeremy Howard in https://www.youtube.com/watch?v=hBBOjCiFcuo&t=3862s

#deeplearning #fastai #jeremyhoward #excel #neuralnetworks

DeepPrep: An accelerated, scalable, and robust pipeline for neuroimaging preprocessing empowered by #deeplearning ( powered by fastSurfer, fastSurferCNN, fastCSR, Synthmorph, etc) : https://www.biorxiv.org/content/10.1101/2024.03.06.581108v1.abstract?%3Fcollection=

#fastAI #neuroimaging #neuroscience #machinelearning #BIDS #CNN

[Перевод] Новая R&D лаборатория (старого типа)

Самая важная новость в области ИИ последних недель, о которой вы возможно ещё не слышали. И нет, дело не в Gemini (от Google). Эрик Рис (создатель The Lean Startup) и Джереми Говард (сооснователь Kaggle, fast.ai ) объединяются, чтобы создать новый вид лаборатории искусственного интеллекта. Он называется Answer.AI . Answer.AI – это новая лаборатория, которая не ставит своей целью создание новых моделей. Вместо этого она пытается найти практическое и ценное применение существующим моделям. Их миссия заключается в том, чтобы проводить фундаментальные исследования для организаций, чтобы помочь им раскрыть возможности использования ИИ. «В Answer.AI мы не работаем над созданием AGI. Вместо этого мы заинтересованы в эффективном использовании уже существующих моделей. Выяснение того, какие практически полезные приложения могут быть построены на основе уже существующих базовых моделей, является огромной задачей, и я считаю, что ей уделяется недостаточно внимания.» – говорит Джереми Говард. Именно это меня больше всего радует – их ориентация на применение. На мой взгляд, за всей этой шумихой вокруг ИИ сегодня, скрывается реальная ценность для бизнеса, которая ждёт своего часа. Но на самом деле нет. В действительности должна существовать реальная человеческая ценность, которую нам ещё только предстоит открыть. Подобно электричеству или отвёртке, ИИ — это просто ещё один инструмент в нашем распоряжении. Только благодаря целенаправленному применению этих инструментов начинает проявляться реальная ценность. ___________________________________ Ник Роко (Nick Roco). Основатель и генеральный директор StellarStream AI, агентства по автоматизации ИИ, создающего индивидуальные инструменты ИИ для более эффективного развития бизнеса. Всё новое — это хорошо забытое старое

https://habr.com/ru/articles/784114/

#AnswerAI #Джереми_Говард #Эрик_Рис #Kaggle #fastai #lean_startup #LTSE #Decibel_VC #искусственный_интеллект #agi

I finished the first chapter of the fast.ai course on Machine Learning, and I am amazed! It's incredible how easy now people without a technical background (aka me) can start diving into ML and actually doing something cool, like creating an image recognition script. By following the Jupyter Notebook code in the course I created a script to differentiate between images of birds and forests, and later on I modified it to recognize Airbus A320 vs Boeing 737 :D

#machinelearning #fastai #stfnML

Part 5 is up. I talk about loading the model weights that we downloaded into the model we built and running it on an image.

Check out the (not so) surprising result. #rust #rustlang #fastai

https://dev.to/favilo/working-through-the-fastai-book-in-rust-part-5-48mk

I've been writing a series of articles where I run through the #fastai #deeplearning book. Except I've decided to attempt it in #rustlang with the #dfdx crate. Why not give it a read if that peaks your interest?

https://dev.to/favilo/working-through-the-fastai-book-in-rust-part-4-1ed4

Tomorrow night, learn about #nbdev. Our speaker, Kevin Bird, is a contributor to the #FastAI community, and will show us how #jupyter notebooks could transform your development. This is a free event at the #Madison Public Library (Central Branch), & is open to all skill levels. There will be free pizza 🍕!

https://www.meetup.com/madison-python/events/296600229/

Stick around after, and join me in pressuring Kevin to leave the bird site and join us here in the fediverse 😆

#MadisonWI #UWMadison #Wisconsin #JupyterNotebooks

One week from tonight, join us to learn about #nbdev and the radically transformative power of development within #jupyter notebooks. Our speaker, Kevin Bird, is a contributor to the #FastAI community and expert on #MachineLearning and #LiterateProgramming. All skill levels, from total beginners to software experts, are welcome. The event, held at #Madison Public Library, is free and open to the public. Free pizza 🍕 and beverages 🥤!

https://www.meetup.com/madison-python/events/296600229/

#MadisonWI #UWMadison #Wisconsin

In a #fastai study group I presented on the performance of different LLM chat interfaces on different prompting styles. After the presentation, one of the more experienced members mentioned that chat interfaces have their own system prompts and configurations that interfere with the prompt you provide, so to truly understand how a model behaves, you have to prompt the model directly. So, as an exercise, I prompted three 7B-parameter LLMs using different prompting styles:

http://vishalbakshi.com/blog/posts/2023-11-02-LLM-Prompting/

As part of a #fastai study group exercise, I presented on the paper “Plan-and-Solve Prompting Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models” (Lei Wang, et al). This paper extends zero-shot-chain-of-thought prompting with an additional set of instructions to help reduce calculation and missing-step errors when an LLM performs reasoning tasks. This exercise gave me an opportunity to try different prompts for different LLMs using chat interfaces.

http://vishalbakshi.com/blog/posts/2023-10-20-PS-Prompting/

Just wrapped up a new project: a machine learning classifier for the elusive spaghetti squash! 🍝🍈 Thing did not go exactly as planned. I faced my first challenge with overfitting when led to a deep dive into data cleaning. Check out my journey and try the classifier for yourself! https://jessealter.com/project/squash-classifier/ #DeepLearning #fastai

The final exercise from Chapter 9 of the #fastai textbook turned out to be much simpler and more insightful than I expected. We were tasked with explaining each line of the TabularModel source code. This wraps up Lesson 6 for me with another delightful challenge! I'm looking forward to learning (and re-learning) about collaborative filtering in Lesson 7.

http://vishalbakshi.com/blog/posts/2023-10-10-TabularModel/

In my latest blog post, I work through an exercise from Chapter 9 of the #fastai textbook, where they assign us the task of using neural net embeddings to improve a random forest fit on a tabular dataset. This exercise gives me a chance to revisit concepts from the chapter (like removing low-importance, redundant and out-of-domain features) and learn some new concepts (like how to use fastai model embeddings to generate values). Another challenging but enjoyable exercise

http://vishalbakshi.com/blog/posts/2023-10-09-nn-rf-embeddings/

Just announced: "Python Development Reimagined: The Power of nbdev and Jupyter Notebooks"

Next month, come learn about nbdev, elevate #Jupyter notebooks in your development process, and make your coding life easier. This will be a great talk with something for #python newbies & pros alike.

Our speaker, Kevin Bird, is a data scientist & OSS contributor to #fastai & #nbdev

https://www.meetup.com/madison-python/events/296600229/

#Madison #MadisonWI #UWMadison

PS: Looking for sponsors for pizza & beverages. Please reach out!

Another challenging but really enjoyable exercise as part of the #fastai course---implementing a couple of decision tree algorithms from scratch and comparing it to the sklearn.DecisionTreeRegressor. I was happy to see that my implementation, while super slow and susceptible to splits with small sample sizes, was not conceptually far off from what Jeremy implemented the in lesson 6 video. I love working on this course!

http://vishalbakshi.com/blog/posts/2023-09-28-decision-tree/

A Hackers' Guide to Language Models [video]
https://www.youtube.com/watch?v=jkrNMKz9pWU
#ycombinator #deep_learning #fastai

Can't agree more with Rachel Thomas from #fastai https://vimeo.com/214233053
How to Learn Deep Learning (when you’re not a computer science PhD)