Thanks for sharing, Javier! Obrigada!

Ohh okay 😂

Thank you! 😊
Maybe it’s time for me to learn Greek, btw do you also speak Spanish?

Followed you with my two accounts, the newest one is to share more about my ventures and connect with tech people and tech founders :)

I don't know how I didn't notice that tab before, thanks for the tip!

Thank you! What is your X user? So I can follow back :) For growth in BSky I'm trying using hashtags related to the content I post. Still trying to figure out how this platform works

Interesting, how does starter packs work?

Thanks for sharing! 😊

All done! Thank you :)

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He used Principal Component Analysis (PCA) to compress 1536-dimensional word embeddings into a 3D viz, tracking how the AI builds responses word by word.

The project shows two linked visualizations:
↳ A 3D cube showing bifurcating paths
↳ A tree diagram revealing word probabilities.

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Data scientist Santiago Ortiz mapped ChatGPT's thinking by running the prompt "𝘐𝘯𝘵𝘦𝘭𝘭𝘪𝘨𝘦𝘯𝘤𝘦 𝘪𝘴" hundreds of times with a high temperature setting of 1.6 for varied responses.

Link to the project: moebio.com/mind

Hi, how do I join? Still figuring out how 🦋 works :)
Already hit the “Like” in the feed btw

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All course materials are executable: slides are Jupyter notebooks with generated figures. Readers can tweak parameters and regenerate them.

Course Website & Materials: kuleshov-group.github.io/aml-website/

Lecture Notes: kuleshov-group.github.io/aml-book/int...

👉 Get free resources, curated articles, and expert tips on Data and AI: topaisjobs.substack.com

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The researchers, collaborating with Facebook AI, initially set out to explore weaknesses in machine learning models. The outcome is a vibrant pattern on clothing that AI cameras fail to detect, essentially making the wearer invisible to machines.

Here's what it covers:

✔ Day 1 - Foundational Models & Prompt Engineering
✔ Day 2 - Embeddings and Vector Stores/Databases
✔ Day 3 - Generative AI Agents
✔ Day 4 - Domain-Specific LLMs
✔ Day 5 - MLOps for Generative AI

Here's the link: www.kaggle.com/learn-guide/...

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9. Transformers United - www.youtube.com/watch?v=P127...

👉 Get free resources, curated articles, and expert tips on Data and AI: topaisjobs.substack.com

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5. Reinforcement Learning - www.youtube.com/watch?v=WsvF...

6. Deep Generative Models - www.youtube.com/watch?v=XZ0P...

7. Building Large Language Models (LLMs) - www.youtube.com/watch?v=9vM4...

8. Machine Learning with Graphs - www.youtube.com/watch?v=JAB_...

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1. Probability for Computer Scientists - www.youtube.com/watch?v=2MuD...

2. Machine Learning Full Course taught by Andrew Ng - www.youtube.com/watch?v=jGwO...

3. NLP with Deep Learning - www.youtube.com/watch?v=rmVR...

4. Machine Learning Explainability - www.youtube.com/watch?v=_DYQ...