AI Research Posts

🦸🏻#10: Does Present-Day GenAI Actually Reason?

Can present-day GenAI actually reason? We break down ~30 modes of human thinking, which ones LLMs reproduce, and where AI reasoning still falls short

Why NVIDIA Blackwell on CoreWeave [💡Webinar ]

Unlock the full potential of your AI innovations

What are Chain-of-Agents and Chain-of-RAG?

CoRAG and Chain-of-Agents are two upgrades to standard RAG: one masters multi-hop reasoning, the other handles extremely long contexts. Compare both

🌁#87: Why DeepResearch Should Be Your New Hire

– this new agent from OpenAI is mind blowing and – I can't believe I say that – worth $200/month

How to Fine-tune DeepSeek with Reinforcement Learning [webinar]

What is test-time compute and how to scale it?

We dive into test-time compute and discuss eight open-source methods for its effective scaling for deep step-by-step models' reasoning.

🌁#86: Four Freedoms of Open AI

– what are they? Defining the future

eBook: Mastering AI Agents

Learn how to create powerful, reliable AI agents with Galileo's in-depth eBook

LLM Prompt Optimization Techniques: The Four Pillars

Prompt optimization techniques for LLMs: expansion, decomposition, disambiguation, and abstraction, plus automated optimizers like DSPy, GEPA, and MIPROv2.

🌁#85: Curiosity, Open Source, and Timing: The Formula Behind DeepSeek’s Phenomenal Success

How an open-source mindset, relentless curiosity, and strategic calculation are rewriting the rules in AI and challenging Western companies, plus an excellent reading list and curated research collection

🦸🏻#8: Knowledge in AI Agents: From Static Rules to Dynamic Reasoning

How AI agents acquire and apply knowledge — from McCarthy's 1958blueprint to modern learned representations, knowledge graphs & meta-knowledge.

🌁#84: Could Program Synthesis Unlock AGI?

we discuss François Chollet's combinatorial approach to reaching AGI, plus offer you a collection of interesting articles, relevant news, and must-read research papers. Dive in!