Topic 20: What is Flow Matching?

Explore the key concepts of Flow Matching, its relation to diffusion models, and how it can enhance the training of generative models

🌁#78: Enabling the Future of AI (2025)

join the prediction game plus our usual collection of interesting articles, relevant news, and research papers. Dive in!

Top 10 GitHub Repositories to Master AI, Machine Learning and Data Science

Baichuan Intelligence: The AI Tiger Focused on Math and Healthcare

How Slower Thinking Could Lead to Bigger Results

Topic 19: Inside LLaVA-o1

Let's explore a smarter Vision-Language Model (VLM) that thinks step-by-step

🌁#77: Amid Big Model Chaos: Small Models and Embeddings Steal the Spotlight

plus our usual collection of interesting articles, relevant news, and research papers. Dive in!

12 Researches on Sparse Autoencoders

Explore what is special about sparse autoencoders (SAEs) and their use for different purposes

🦸🏻#5: Building Blocks of Agentic Systems

What powers an AI agent?

How to improve the observability and reliability of your AI cluster [💡Webinar ]

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