AI Research Posts

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

A guide to Explainable AI (XAI) for LLMs: techniques like surrogate models and attention visualization, plus tools such as SHAP, LIME, and Captum.

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

A practical guide to monitoring LLMs: which open-source tools to use, the KPIs that matter, A/B testing, and adversarial attack risks.

FOD#38: A New Era of Health Monitoring

how LLMs can be used with wearables, main news from AI leaders, and the best-curated list of research papers

10 open-source tools for LLM applications development

5 free Machine Learning Courses Recommended by OpenAI Professionals