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

Topic 7: What is LongRAG framework?

we discuss the limitations of RAG with a long-context window and explore the intuition behind the LongRAG framework to address these limitations, along with a list of resources for further learning

FOD#59: The Art of Crafting AI with Synthetic Data

plus a collection of thought-provoking essays, important research papers, and news from usual suspects

10+ Research papers to learn more about Vision Language Models (VLMs)

xAI: The game of catching up

Understanding Musk's X-Universe

Topic 6: What is KAN?

we discuss how Kolmogorov-Arnold Networks (KANs) are redefining neural network architectures and their advantages over traditional multilayer perceptrons

FOD#58: Are multimodal systems the future of AI?

plus AI-influenced pivots, cool news from the usual suspects and the best weekly curated list of research papers

20+ Large Language Models (LLMs) for Finance

Small Language Models: The Future of AI? Insights from Microsoft's Phi-3 Creators

Sébastien Bubeck and Ronen Eldan talk about the rapid progress of the Phi-3 family, and its potential to reshape the landscape of AI by bringing powerful language models to everyday devices

Topic 5: What is FSDP and YaFSDP?

we discuss the breakthroughs in GPU optimization techniques, exploring how YaFSDP surpasses FSDP in enhancing efficiency and scalability for large language models.

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FOD#57: On the Measure of Intelligence

Chollet's Arc and a $1,000,000 competition to create an AI that can adapt to novelty and solve simple reasoning problems