Artificial Intelligence : Papers & Concepts
Dr. Satya MallickThis podcast is for AI engineers and researchers. We utilize AI to explain papers and concepts in AI.
| Publishes | Daily | Episodes | 23 | Founded | 5 months ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | TechnologyEducation | |||
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Latest Episodes
In this episode of Artificial Intelligence: Papers and Concepts, we explore DeepSeek-V3, a next-generation large language model designed to push the boundaries of reasoning performance while maintaining strong efficiency. Rather than relying purely o... more
In this episode of Artificial Intelligence: Papers and Concepts, we explore the surprisingly simple idea behind "Prompt Repetition Improves Non-Reasoning LLMs," a new study from Google Research that challenges how we think about improving model perfo... more
In this episode of Artificial Intelligence: Papers and Concepts, we explore Seedance 2.0, the next evolution of ByteDance's video foundation model designed to push AI-generated storytelling closer to real cinematic production. Building on earlier adv... more
In this episode of Artificial Intelligence: Papers and Concepts, we break down Molmo, an open multimodal model designed to understand images and language together with strong reasoning capabilities. Instead of relying solely on massive closed dataset... more
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Apple Podcasts | #46 |  Poland/Technology |
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What is This Podcast about and what kind of topics does it cover?
This podcast focuses on the latest advancements and concepts in artificial intelligence, emphasizing research papers and theoretical explorations that impact the field. Episodes cover innovative models and applications, from generative models for 3D understanding to advancements in self-supervised learning and machine vision. The discussions typically highlight both the technical complexities and practical implications of AI, making them accessible for professionals and enthusiasts alike. The hosts often introduce new frameworks while critically analyzing the limitations of existing methodologies, providing listeners with a comprehensive view of the state of AI research.
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2. Acquired
3. Huberman Lab
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this podcast launched 5 months ago and published 23 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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