AI Research Posts

FOD#42: Debunking Moravec's Paradox

Is 2024 the year of advanced robotics?

AI Chips Are Taking Over: Seven Specialized Processors from Tech Giants

Google, Microsoft, Amazon, and other giants race to develop specialized processors for artificial intelligence

FOD#41: GPU's rival? What is Language Processing Unit (LPU)

we explore how it makes inference 10x faster plus we offer the best curated list of the freshest ML news and papers

Key Insights from Dr. Andrew Ng's Stanford Talk on AI Opportunities

The Unhyped Importance of Capable AI

The four levels of AI explained - ANI, ACI, AGI, ASI - and why the Capable phase, not AGI, is where the real impact is happening right now.

Token 1.20: Explainable AI techniques and tools for LLMs

What explainability can reveal about LLMs and AI agents, where SHAP, LIME, Captum and interpretability tools help, and where explanations can mislead.

FOD#40: Trust and Responsibility in the Age of AI

we explore AI's dual role in reshaping quality journalism's future and offer the best curated list of the freshest ML news and papers

Databricks: the Future of Generative AI in the Enterprise Arena

Navigating the Shift: Databricks' Journey from Open Source to AI Powerhouse

💡On-Demand Webinar: Designing & Scaling FanDuel's Machine Learning Platform

FOD#39: Truly Open

we explore who stands behind OLMo's release and offer the best curated list of the freshest ML news and papers

Update to OpenAI Chronicle and Wrap-Up of the GenAI Unicorn Series

The complete GenAI Unicorn Series: 13 company deep-dives from OpenAI to Mistral, plus a 2024 OpenAI update covering GPTs, board drama & safety initiatives.

Token 1.18: How to Monitor LLMs

Monitor quality, cost, latency, retrieval, tool use and safety with current open-source observability platforms—and understand what traces cannot prove.