Book Review: The Fund

In his revelatory new book “The Fund,” Rob Copeland of The New York Times pulls back the curtain on the controversial management techniques of billionaire Ray Dalio, founder of hedge fund behemoth Bridgewater Associates. Copeland documents how Dalio’s rigid, authoritarian methods engendered a workplace culture defined by invasive surveillance, demanded ideological conformity, and endemic fear.Continue reading “Book Review: The Fund”

OpenAI Developer Conference: Customizable AI Sparks Excitement and Concern

After spending several hours reading discussion threads, social media posts, and technology press articles, I observed a range of reactions to OpenAI’s announcement that users can create custom versions of ChatGPT. These reactions reflect both optimism about the potential benefits of this new functionality and concerns about increased platform control. Many welcome the new functionalityContinue reading “OpenAI Developer Conference: Customizable AI Sparks Excitement and Concern”

Boosting LLMs with External Knowledge: The Case for Knowledge Graphs

When we wrote our post on Graph Intelligence in early 2022, our goal was to highlight techniques for deriving insights about relationships and connections from structured data using graph analytics and machine learning. We focused mainly on business intelligence and machine learning applications, showcasing how technology companies were applying graph neural networks (GNNs) in areasContinue reading “Boosting LLMs with External Knowledge: The Case for Knowledge Graphs”

Charting the Graphical Roadmap to Smarter AI

Subscribe • Previous Issues Boosting LLMs with External Knowledge: The Case for Knowledge Graphs When we wrote our post on Graph Intelligence in early 2022, our goal was to highlight techniques for deriving insights about relationships and connections from structured data using graph analytics and machine learning. We focused mainly on business intelligence and machine learning applications,Continue reading “Charting the Graphical Roadmap to Smarter AI”

Expanding access to Frontier Models with software and hardware optimizations

Unlocking LLMs: How Intel, Lamini, and AMD are driving efficiency and customization Faced with costly and scarce Nvidia GPUs, AI teams are embracing alternatives that expand access to LLM capabilities. BigDL-LLM, an open source library, optimizes model performance on Intel hardware to unlock new AI applications. Lamini collaborated with AMD to build the LLM Superstation,Continue reading “Expanding access to Frontier Models with software and hardware optimizations”

The White House’s AI Executive Order: A Grand Vision or a Piecemeal Patchwork?

The Biden administration recently issued an extensive Executive Order outlining plans to lead the way in ethical artificial intelligence. However, framing this strategy as a grand vision may be overly optimistic, as its practical impact is likely to be incremental at best. There is no doubt that the proposals are ambitious. The administration aims toContinue reading “The White House’s AI Executive Order: A Grand Vision or a Piecemeal Patchwork?”

Review: Waymo Robotaxis in San Francisco

San Francisco now has both Cruise and Waymo robotaxis operating all over the city. Based on news reports and my own personal experience, I have to say that Waymo seems to be a lot more conservative and careful in its operations. While not perfect, Waymo has gotten remarkably good at navigating the challenging streets ofContinue reading “Review: Waymo Robotaxis in San Francisco”

Techniques, Challenges, and Future of Augmented Language Models

After attending several conferences in the past month, it’s evident that Retrieval Augmented Generation (RAG) has emerged as one of the most popular techniques in AI over the past year, widely adopted by many AI teams. RAG refers to the process of supplementing a large language model (LLM) with additional information retrieved from elsewhere toContinue reading “Techniques, Challenges, and Future of Augmented Language Models”

Best Practices in Retrieval Augmented Generation

Subscribe • Previous Issues Techniques, Challenges, and Future of Augmented Language Models After attending several conferences in the past month, it’s evident that Retrieval Augmented Generation (RAG) has emerged as one of the most popular techniques in AI over the past year, widely adopted by many AI teams. RAG refers to the process of supplementing a largeContinue reading “Best Practices in Retrieval Augmented Generation”