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 | Twice weekly | Episodes | 9 | Founded | 3 months ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | EducationTechnology | |||
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Latest Episodes
In this episode of Artificial Intelligence: Papers and Concepts, curated by Dr. Satya Mallick, we break down DeepMind's 2022 paper "Training Compute-Optimal Large Language Models"—the work that challenged the "bigger is always better" era of LLM scal... more
How should an AI or robot decide what to do next?
In this episode, we explore a new approach to planning that rethinks how world models are trained. The episode is based on the paper "Closing the Train-Test Gap in World Models for Gradient-Based Pl... more
Forget flat photos—SAM3D is rewriting how machines understand the world. In this episode, we break down the groundbreaking new model that takes the core ideas of Meta's Segment Anything Model and expands them into the third dimension, enabling instan... more
In this episode, we explore DINOv3, a new self-supervised learning (SSL) vision foundation model from Meta AI Research, emphasizing its ability to scale effortlessly to massive datasets and large architectures without relying on manual data annotatio... more
dots.ocr is a powerful, multilingual document parsing model from rednote-hilab that achieves state-of-the-art performance by unifying layout detection and content recognition within a single, efficient vision-language model (VLM).
Built upon a comp... more
In this episode, we dive deep into DeepSeek-OCR, a cutting-edge open-source Optical Character Recognition (OCR) / Text Recognition model that's redefining accuracy and efficiency in document understanding.
DeepSeek-OCR flips long-context processing... more
"The best ChatGPT that $100 can buy." That's Andrej Karpathy's positioning for nanochat—a compact, end‑to‑end stack that goes from tokenizer training to a ChatGPT‑style web UI in a few thousand lines of Python (plus a tiny Rust tokenizer).
It's mea... more
In this episode of Artificial Intelligence: Papers and Concepts, we explore SmolVLM, a family of compact yet powerful vision language models (VLMs) designed for efficiency.
Unlike large VLMs that require significant computational resources, SmolVLM... more
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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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this podcast launched 3 months ago and published 9 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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