Beyond LLMs - Agents, Emergent Abilities, Intermediate-Guided Reasoning, and BabyLM - Stanford CS25

Explore cutting-edge AI topics in this Stanford University lecture, delving into autonomous agentic AI systems beyond monolithic Large Language Models (LLMs), emergent abilities of scaled-up LLMs, and intermediate-guided reasoning approaches. Examine the BabyLM concept for creating efficient small language models with human-like learning capabilities. Gain insights into technical developments, ethical implications, and future prospects of AI in the digital world. Part of the CS25 Transformers United series, this hour-long talk features Steven Feng, Div Garg, and Karan Singh from Stanford University, discussing advancements that push the boundaries of AI research and application.

Stanford CS25: V3 I Beyond LLMs: Agents, Emergent Abilities, Intermediate-Guided Reasoning, BabyLM