AI Research Posts

15 Agentic Systems and Frameworks of 2024

15 agentic AI frameworks from 2024: Agent S, MALT, AI Scientist, DynaSaur & AgentInstruct. Multi-agent systems, GUI agents & autonomous workflows.

The best books about AI&ML, 2024 edition

For Your Holiday Reading

What is Natural Language Reinforcement Learning (NLRL)?

NLRL redefines reinforcement learning using natural language instead of numeric rewards. Learn how it works, how LLMs fit in, and where it outperforms PPO.

🌁#80: What's in 2025? From Elad Gil, François Chollet, Maxime Labonne, swyx and others

It's going to be a turbulent ride! Winter is not coming

12 Remarkable Research Papers from NeurIPS 2024

Who came up with the term "attention"?

The attention mechanism is a neural network method introduced by Bahdanau & Bengio in 2014. Who named it, Schmidhuber's claim, and why it matters for Transformers.

Concepts: AI Learning Techniques

few-shot, zero-shot, meta and in-context learning. Dive in!

🌁#79: Sora and World Models – Bringing magic to muggles

Spatial Intelligence just got a boost! Plus, a concise coverage of the remarkably rich week in ML research and innovations

16 New Types of Retrieval-Augmented Generation (RAG)

🦸🏻#6: The Role of Profiling in Agentic Workflows

How AI agents perceive, decide, and act: agent profiling explained through the BDI model, PEAS framework, performance benchmarks, and resource monitoring.

Guest post: When Search Meets AI: The Hybrid Revolution*

Inside Milvus Vector Database's Intelligent Search Solution

Flow Matching for Generative Modeling: How It Works and Why It Matters

Flow Matching explained: how it trains generative models faster than diffusion, what conditional flow matching adds, and why Flux, F5-TTS and MovieGen use it.