Today we continue our AI Trends 2024 series with a conversation with Thomas Dietterich, distinguished professor emeritus at Oregon State University. As you might expect, Large Language Models figured prominently in our conversation, and we covered a vast array of papers and use cases exploring current research into topics such as monolithic vs. modular architectures, hallucinations, the application of uncertainty quantification (UQ), and using RAG as a sort of memory module for LLMs. Lastly, don’t miss Tom’s predictions on what he foresees happening this year as well as his words of encouragement for those new to the field.
The complete show notes for this episode can be found at twimlai.com/go/666.
Hierarchical and Continual RL with Doina Precup - #567
Open-Source Drug Discovery with DeepChem with Bharath Ramsundar - #566
Advancing Hands-On Machine Learning Education with Sebastian Raschka - #565
Big Science and Embodied Learning at Hugging Face 🤗 with Thomas Wolf - #564
Full-Stack AI Systems Development with Murali Akula - #563
100x Improvements in Deep Learning Performance with Sparsity, w/ Subutai Ahmad - #562
Scaling BERT and GPT for Financial Services with Jennifer Glore - #561
Trends in Deep Reinforcement Learning with Kamyar Azizzadenesheli - #560
Deep Reinforcement Learning at the Edge of the Statistical Precipice with Rishabh Agarwal - #559
Designing New Energy Materials with Machine Learning with Rafael Gomez-Bombarelli - #558
Differentiable Programming for Oceanography with Patrick Heimbach - #557
Trends in Machine Learning & Deep Learning with Zachary Lipton - #556
Solving the Cocktail Party Problem with Machine Learning, w/ Jonathan Le Roux - #555
Machine Learning for Earthquake Seismology with Karianne Bergen - #554
The New DBfication of ML/AI with Arun Kumar - #553
Building Public Interest Technology with Meredith Broussard - #552
A Universal Law of Robustness via Isoperimetry with Sebastien Bubeck - #551
Trends in NLP with John Bohannon - #550
Trends in Computer Vision with Georgia Gkioxari - #549
Kids Run the Darndest Experiments: Causal Learning in Children with Alison Gopnik - #548
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