Concepts: Supervised, Semi-Supervised, Self-Supervised, Unsupervised types of Machine Learning

core methodologies behind training machine learning models

🌁#76: Rethinking Scaling Laws (when plateau is actually a fork)

we discuss Compound AI and test-time compute to challenge the scaling plateau and pave the way for smarter AI systems, along with our usual collection of interesting articles, relevant news, and research papers. Dive in!

8 Free Sources to Master Building AI Agents

Inside Perplexity AI’s Unicorn Journey: from $500M to $9B in a Year

How Perplexity AI is rewriting the rules of online search – one controversy at a time

Topic 18: What is Mixture-of-Depths?

Explore how transformers can select different depths of processing and reduce compute needs

🌁#75: What is Metacognitive AI

we discuss questions of cognition, consciousness, and eventually treating AI as something possessing morality, plus the usual collection of interesting articles, relevant news, and research papers. Dive in!

10 xLSTM Models

Explore enhanced xLSTM models for various tasks

Topic 17: Inside Les Ministraux

we trace Mistral's strategic roadmap and and unpack the unique performance of les Ministraux (Ministral)

FOD#74: Sparks of AGI – OpenAI’s plans to get there

we discuss Sébastien Bubeck at OpenAI, what is going on with SLMs, and offer you a collection of interesting articles, relevant news and research papers. Dive in!

10 Open Multimodal Models

🦸🏻#4: From Butler to J.A.R.V.I.S to Butler Again?

History of Jarvis and and a deep dive into recent π0 model from Physical Intelligence

Concepts: RLHF, RLAIF, RLEF, RLCF

4 RL+F approaches that guide a model with targeted feedback