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0:31:49
What is DeepSeek-R1? No Hype | No Fluff | No Nonsense guide to R1.
0:20:57
AI Governance: How can Reasoning with LLMs Help? by Asim Munawar
0:28:38
Can LLMs Really Understand? by Kartik Talamadupula (Symbl.ai)
0:44:00
Lessons Learnt on AI Ethics Governance By Francesca Rossi
0:26:06
What is AGI? with Asim Munawar
0:23:26
Neuro-symbolic models of concept learning by Brenden Lake (NYU)
0:28:45
Modeling and Evaluating Faithful Generation in Language (and Vision) by Mohit Bansal
0:07:02
Moshe Y. Vardi 'The Great Integration Challenge:Deep Learning and Deep Reasoning'
0:22:52
Taming Large Language Models by Asim Munawar (Audio in Urdu/Hindi) - RLHF
0:34:01
Taming Large Language Models Using Reinforcement Learning with Human Feedback
0:15:07
Self-Discover: Large Language Models Self-Compose Reasoning Structures (Audio in Urdu/Hindi)
0:16:44
Self-Discover: Large Language Models Self-Compose Reasoning Structures by Asim Munawar
0:26:14
'Reasoning in NeuroSymbolic AI (Including Logic Tensor Networks)' by Artur d’Avila Garcez
0:24:24
Leslie Valiant on 'How to Augment Supervised Learning with Reasoning'
0:03:01
AI Talks (in Urdu/Hindi) by Asim Munawar
0:02:32
Introduction to AI-Talks by Asim Munawar
0:33:37
NSSS 2023 - Day 2: Compositional Program Generalization for Systematic Generalization (Tim Klinger)
0:32:50
NSSS 2023 - Day 2: Neuro-vector-symbolic Arch to Solve Raven's Progressive Matrices(Michael Hersche)
0:29:00
NSSS 2023 - Day 2: Deep Learning with Logical Requirements (Eleonora Giunchiglia)
0:28:54
NSSS 2023 - Day 2: Casual abstraction for faithful, interpretable mdl explanation(Christopher Potts)
0:29:31
NSSS 2023 - Day 2: Thinking Fast and Slow in AI: Can it Help for Planning (Francesca Rossi)
1:08:49
NSSS 2023 - Day 2: Panel - Abe, Giunchiglia, Hersche, Broeck, Rossi, Klinger, Potts, Bengio, Gray
0:31:44
NSSS 2023 - Day 2: AI can learn from data. But can it learn to reason? (Guy Van den Broeck)
0:32:49
NSSS 2023 - Day 2: Robust Logic Some Applications and Extensions (Naoki Abe)
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