BayesianMonk
@BayesianMonk
Welcome to the Bayesian Monk!! This account is for connecting with fellow monks and learning, doing, teaching and meditating in the mystic universe of data.
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Looks like Meta's LLaMa 65B parameter language model has reached AGI and showing human-like behavior. When you ask it to be nice, it doubles down on being a jerk. 🤷♂️ @ykilcher first raised alarms here: youtu.be/E5OnoYF2oAk?t=… @MetaAI #AGI #LLMs
A major engine of innovation and economic development is startups, or "Little Tech" as @pmarca calls it. Governments should do what they can to incentivize and facilitate the creation and growth of startups. But startups can thrive only if a number of conditions are present: 1-…
# on shortification of "learning" There are a lot of videos on YouTube/TikTok etc. that give the appearance of education, but if you look closely they are really just entertainment. This is very convenient for everyone involved : the people watching enjoy thinking they are…
I just published Mastering the Art of Prompt Engineering: Unlock the True Power of ChatGPT for Real-World… link.medium.com/NY6I8Cx5ezb
link.medium.com
Mastering the Art of Prompt Engineering: Unlock the True Power of ChatGPT for Real-World…
Introduction:
"Voyage through Time" is my first artpiece using #stablediffusion and I am blown away with the possibilities... We're crossing a threshold where generative AI is no longer just about novel aesthetics, but evolving into an amazing tool to build powerful, human-centered narratives
Food for thought: When optimizing multiple objectives, instead of training on loss = α loss + β loss, it's easier to train 2 models & combine their scores score = α score + β score 💡 Makes the ML system easier to update and maintain; doesn't require retraining when α & β change
Truer words have never been spoken. @mrdbourke Check this out if you haven't: youtube.com/watch?v=fw6NMQ…
Early distress signals! Transformer model thinks machines taking over is a positive. 😅 #MachineLearning #AI #Singularity
When it comes to data science, the most underrated skill is communication. Even if your insights and models are great, it makes a huge difference how you communicate them within or outside your team.
Can't wait to read this one. Thanks @sirbayes #DataScience
I am delighted to announce that a draft of my latest book, “Probabilistic Machine Learning: Advanced Topics”, is now available online at probml.ai. It covers #DeepGenerativeModels, #BayesianInference, #Causality, #ReinforcementLearning, #DistributionShift, etc.
I'm thrilled to announce that we're releasing the fastest #autoarima implementation for #Python today! 😍 It is a mirror implementation of @robjhyndman's #autoarima (R) and it is optimized using @numba_jit. It is 20x faster than pmdarima and @MetaAI's Prophet. 😎 🧵 @nixtlainc
🐙 Transformer Recipe 🐙 There's a lot of material on learning about Transformers so I've written a concise list of the most useful study materials I've come across. From high-level introductions to code implementations. github.com/dair-ai/Transf…
Excited to share that our colab tutorial on graph neural networks is live on Github under deepmind/educational! It also introduces #jraph, @DeepMind's in-house graph library for the #JAX stack. Co-authored with @ni_jovanovic. dpmd.ai/gnn-jraph-colab
Musing of the day: If you can crawl, walk. If you can walk, jog. If you can jog, run. Progressive overload will do wonders when learning a new skill. Data science is certainly one such skill where you learn more by doing! #DataScience #100DaysOfCode #GrowthMindset #Learn
Graph neural networks (GNNs) are rapidly advancing progress in ML for complex graph data applications. Let's have a look at some resources to help you learn and keep up-to-date with GNNs ↓
"Speech and Language Processing" by @jurafsky and James H. Martin remains my go-to reference for all things natural language processing (NLP). web.stanford.edu/~jurafsky/slp3/ It just has the right structure to learn about NLP. It's regularly updated and publicly accessible.
No. 3 for fellow data nerds. #Python #techtwitter #DataScience #100DaysOfCode
5 GitHub Repositories To Boost Your Python Programming 👇[Thread]
![sampsonmooreone's profile picture. Engineer, Physicist
https://t.co/YAwN42oWod , prev. engineer at Google [X] , prev. brain research U of MN](https://pbs.twimg.com/profile_images/1206390476846223360/WMAn2tjc.jpg)
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