
Sign up to save your podcasts
Or


In today's episode of AI Deep Dive, we explore cutting-edge developments in artificial intelligence that are shaping the future of multi-agent systems and logical reasoning. We kick off with an in-depth look at OpenAI's groundbreaking open-source framework, Swarm, which enables the creation and management of multiple AI agents working in concert. Discover how Swarm’s routines and handoffs can facilitate the development of complex AI systems capable of executing intricate, multi-step tasks. Next, we analyze a new benchmark called GSM-Symbolic, developed by researchers at Apple, which evaluates the mathematical reasoning abilities of current large language models (LLMs). Tune in as we uncover the surprising findings about LLM performance and the implications for the future of AI reasoning!
By Daily Deep Dives2.8
2020 ratings
In today's episode of AI Deep Dive, we explore cutting-edge developments in artificial intelligence that are shaping the future of multi-agent systems and logical reasoning. We kick off with an in-depth look at OpenAI's groundbreaking open-source framework, Swarm, which enables the creation and management of multiple AI agents working in concert. Discover how Swarm’s routines and handoffs can facilitate the development of complex AI systems capable of executing intricate, multi-step tasks. Next, we analyze a new benchmark called GSM-Symbolic, developed by researchers at Apple, which evaluates the mathematical reasoning abilities of current large language models (LLMs). Tune in as we uncover the surprising findings about LLM performance and the implications for the future of AI reasoning!

1,646 Listeners

1,087 Listeners

170 Listeners

333 Listeners

42 Listeners

60 Listeners

131 Listeners

93 Listeners

154 Listeners

227 Listeners

610 Listeners

106 Listeners

173 Listeners

57 Listeners

146 Listeners