FOD#62: DeepMind’s New Techniques Are Shaping the Future – Here’s How

Plus, a new rubric on AGI, Karpathy's take on RL, news from the usual suspects, and the hands-down best-curated list of last week's papers and models

12 Types of Retrieval-Augmented Generation (RAG)

Graphcore: From Unicorn to SoftBank Acquisition – What Happened?

A failure? A new chance? Let's investigate

FOD#61: AI Fall: Time to Build

Let's get even more practical

6 Open-source video generation models

+ 4 video generators that you can try for free

14+ Text-to-audio models

Explore text-to-speech and text-to-music models

5 New Small Language Models (SLMs)

Guest Post: Optimizing RAG Applications: Methodologies, Metrics, and Evaluation Tools*

How to Evaluate Retrieval Augmented Generation (RAG) Applications

Topic 8: What is LSTM and xLSTM?

we review what we know about LSTM networks and explore their new promising development – xLSTM

FOD#60: A breather

+ the curated list of the most relevant research papers of the week, as well as your favorite news from The Usual Suspects.

9 research papers about synthetic data generation in AI

AI and Search Engines: Petr Ermakov on YandexGPT and the Future of Search

We discuss the business models of Google and Yandex, emerging research areas in AI, and whether the future of search technology is multimodal