100 Must-Read AI Papers
Mars RenWelcome to 100 Must-Read AI Papers, your guide to the most influential research shaping the world of artificial intelligence. In each episode, we break down key papers that have pushed the boundaries of AI—from groundbreaking theories to practical tools like Transformers and reinforcement learning models. Whether you’re an AI professional, student, or curious listener, join us as we make complex r... more
| Publishes | Daily | Episodes | 4 | Founded | a year ago |
|---|---|---|---|---|---|
| Categories | BooksArts | ||||
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Latest Episodes
In today's episode, we’ll be discussing the paper "Language Models are Few-Shot Learners", which introduces GPT-3, a groundbreaking language model with 175 billion parameters. This paper showed that scaling up language models can lead to impressive f... more
Welcome to today’s episode! We’ll explore how Latent Diffusion Models (LDMs) are transforming image generation. These models work in a compressed space, making the process faster and more efficient while maintaining high-quality results. LDMs excel i... more
In this episode, we’re covering the paper "Denoising Diffusion Probabilistic Models". This framework offers a new way to generate high-quality images by gradually adding and removing noise in a two-step process. Unlike GANs, diffusion models are more... more
Welcome to today’s episode! We’re exploring "Attention Is All You Need," the paper that introduced the Transformer model—a game-changer in AI and natural language processing. Unlike older models like RNNs, Transformers rely on self-attention, allowin... more
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