A monthly podcast where we discuss recent research and developments in the world of Neural Search, LLMs, RAG and Natural Language Processing with our co-hosts Jakub Zavrel (AI veteran and founder at Zeta Alpha) and Dinos Papakostas (AI Researcher at Zeta Alpha).
AGI vs ASI: The future of AI-supported decision making with Louis Rosenberg
In this episode of Neural Search Talks, we have invited Louis Rosenberg, CEO of Unanimous.AI, to discuss the future of AI in decision-making, contrasting the development of artificial superintelligence (ASI) with collective human intelligence systems, such as swarm intelligence. In particular, Louis argues that the advancement of AI should focus on amplifying human intelligence rather than replacing it, drawing from the biological inspiration found in nature, where species evolve by connecting individuals into systems that function as a singular intelligent entity, exemplified by schools of fish and swarms of bees. Tune into our conversation to learn more about how AI can assist humans in disseminating knowledge and making better decisions!
Check out the Zeta Alpha Neural Discovery platform: https://zeta-alpha.com (https://zeta-alpha.com)
Subscribe to the Zeta Alpha calendar to not miss out on any of our events: https://lu.ma/zeta-alpha (https://lu.ma/zeta-alpha)
Timestamps:
0:00 Intro by Jakub Zavrel
2:08 Using AI to amplify human intelligence
18:19 How AI and humans learn from each other
26:41 Scaling human collaboration with AI
40:13 Satisfying information needs with AI
45:57 How Unanimous AI connects experts to make better decisions
51:37 Predictions for AI progress in one year
53:21 Outro
22 Nov 2024
EXAONE 3.0: An Expert AI for Everyone (with Hyeongu Yun)
Hyeongu Yun from LG AI Research shares the development and capabilities of EXAONE 3.0, a groundbreaking AI model achieving impressive results in multiple languages and benchmarks.
14 Nov 2024
Zeta-Alpha-E5-Mistral: Finetuning LLMs for Retrieval (with Arthur Câmara)
Arthur Câmara, Senior Research Engineer at Zeta Alpha, shares expert insights on fine-tuning Large Language Models for effective text retrieval, achieving top 10 rankings on the BEIR benchmark with E5-Mistral.
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