AI Research Posts

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)

What is KAN?

KAN (Kolmogorov-Arnold Networks) replaces fixed activation functions with learnable splines. How KAN works, how it compares to MLP, and where it falls short.

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

What is FSDP and YaFSDP?

FSDP shards model params across GPUs to reduce memory overhead. YaFSDP by Yandex adds layer sharding — saving 150 GPUs and cutting LLM training time by 26%.

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

25+ Medical Large Language Models (LLMs)

A curated list of 25+ medical LLMs — BioBERT, Med-PaLM, MEDITRON, BioMistral and more. Grouped by architecture, with links to papers and code.

Cerebras: an Engineering Marvel to Rival NVIDIA

How Cerebras built wafer-scale AI systems, expanded cloud inference, and became a public company trading on Nasdaq under CBRS.

Guest post: Introducing Galileo Luna – the new standard for GenAI evaluation*

No more vibe checks!