🎙️Episode 119:

Just finished this The Gradient article about Mamba, and it's one of the best ones I've read. Check it out in case you don't know about this architecture yet :)

Mamba Explained thegradient.pub/mamba-explaine…

The first explanation of State Space Models I actually understood!

Excellent explanation of Mamba/SSMs and how it addresses limitations of Transformers by The Gradient. Rare to read a blog post combining intuitive metaphors that are easy to understand for non-technical readers while remaining technically sound: thegradient.pub/mamba-explaine…

Nice read.

I’ll throw in my bet 💵: diffusion will enter the language game in earnest before the end of the year.

a super thorough dive into transformers vs state space models

Is Attention all you need?

Mamba 🐍, a novel AI model based on State Space Models, emerges as a alternative to the widely used Transformer models 🤖

Read more in our latest article ->
thegradient.pub/mamba-explaine…

🎙️🚨 New podcast alert

.Joss Fong ❌ on our unfortunate patterns of media consumption — our full interview is out Thursday and you should listen

Are embedding vectors a secure format for information storage and communication?
Put simply: can input text be recovered from output embeddings?

Read our latest article by Jack Morris jack morris to find out!
thegradient.pub/text-embedding…

🎙️ How is ML used in quantitative trading and investing? How can we effectively use data to impact public policy? daniel bashir speaks with Ben Wellington.

Ribbonfarm readers may enjoy this podcast. Longest one I’ve ever done.