Data Science at Home
Podcast autorstwa Francesco Gadaleta
Kategorie:
261 Odcinki
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Efficiently Retraining Language Models: How to Level Up Without Breaking the Bank (Ep. 227)
Opublikowany: 11.05.2023 -
Revolutionize Your AI Game: How Running Large Language Models Locally Gives You an Unfair Advantage Over Big Tech Giants (Ep. 226)
Opublikowany: 3.05.2023 -
Rust: A Journey to High-Performance and Confidence in Code at Amethix Technologies (Ep. 225)
Opublikowany: 26.04.2023 -
The Power of Graph Neural Networks: Understanding the Future of AI - Part 2/2 (Ep.224)
Opublikowany: 18.04.2023 -
The Power of Graph Neural Networks: Understanding the Future of AI - Part 1/2 (Ep.223)
Opublikowany: 11.04.2023 -
Leveling Up AI: Reinforcement Learning with Human Feedback (Ep. 222)
Opublikowany: 4.04.2023 -
The promise and pitfalls of GPT-4 (Ep. 221)
Opublikowany: 30.03.2023 -
AI’s Impact on Software Engineering: Killing Old Principles? (Ep. 220)
Opublikowany: 14.03.2023 -
Edge AI applications for military and space [RB] (Ep. 219)
Opublikowany: 9.03.2023 -
Prove It Without Revealing It: Exploring the Power of Zero-Knowledge Proofs in Data Science (Ep. 218)
Opublikowany: 27.02.2023 -
Deep learning vs tabular models (Ep. 217)
Opublikowany: 21.02.2023 -
[RB] Online learning is better than batch, right? Wrong! (Ep. 216)
Opublikowany: 15.02.2023 -
Chatting with ChatGPT: Pros and Cons of Advanced Language AI (Ep. 215)
Opublikowany: 26.01.2023 -
Accelerating Perception Development with Synthetic Data (Ep. 214)
Opublikowany: 14.01.2023 -
Edge AI applications for military and space [RB] (Ep. 213)
Opublikowany: 13.12.2022 -
From image to 3D model (Ep. 212)
Opublikowany: 8.12.2022 -
Machine learning is physics (Ep. 211)
Opublikowany: 2.12.2022 -
Autonomous cars cannot drive. Here is why. (Ep. 210)
Opublikowany: 21.11.2022 -
Evolution of data platforms (Ep. 209)
Opublikowany: 8.11.2022 -
[RB] Is studying AI in academia a waste of time? (Ep. 208)
Opublikowany: 2.11.2022
Artificial Intelligence, algorithms and tech tales that are shaping the world