In today’s briefing, our analysts dive into six significant articles shaping the landscape of AI and its applications. We begin with OpenAI’s latest research on extracting concepts from GPT-4, which decomposes the model's internal representations into 16 million interpretable patterns, contributing to AI safety and interpretability. Next, we explore the third part of a series on building with LLMs, focusing on strategic insights gathered over the past year. We also discuss a study revealing that LLMs achieve adult human performance on higher-order theory of mind tasks. An opinion piece from Ethan Mollick provides a midyear review of AI advancements, highlighting key trends and technologies. Additionally, we examine a study finding that AI models hold opposing views on controversial topics, underscoring the need for careful consideration of AI biases. Finally, we look at how a French retailer is leveraging generative AI to enhance shopping experiences for customers, showcasing practical applications of AI in the retail sector.
Timestamps:
00:00:01 - Intro
00:00:56 - Extracting Concepts from GPT-4
00:04:17 - What We Learned from a Year of Building with LLMs (Part III): Strategy
00:09:02 - LLMs achieve adult human performance on higher-order theory of mind tasks
00:14:08 - Doing Stuff with AI: Opinionated Midyear Edition
00:18:06 - Study finds that AI models hold opposing views on controversial topics
00:21:02 - How Gen AI Is Helping One French Retailer Enhance Shopping Experiences
Key Highlights:
Extracting Concepts from GPT-4: While significant for research, it's considered optional for AI leaders due to its technical details.
Building with LLMs - Strategy: Essential read providing strategic insights and practical advice for AI implementation.
LLMs and Theory of Mind: Research indicating LLMs' capability to perform at adult human levels on complex cognitive tasks.
Midyear AI Review: Opinionated overview of current AI trends and technologies, recommended for non-technical leaders.
AI Biases: Important discussion on how different AI models hold opposing views on controversial topics, highlighting the need for bias mitigation.
AI in Retail: Example of practical AI application, improving customer experience in the retail industry.
Join us every weekday at 7:30 AM ET on LinkedIn or YouTube for comprehensive discussions on AI. Engage with our community live and share your perspectives here: GAI Insights on LinkedIn.
Or get the essentials delivered to your inbox in our Daily GenAI Briefing Newsletter - What you need to know and why (or why not) in 2 minutes.
Sign up for our newsletter here: [ Ссылка ]
Our analysts: Paul Baier, John Sviokla, Tim Andrews, David De Lallo, Tania DiCostanzo, Amanda Fetch, Luda Kopeikina, and Adam Rappaport.
