
Distilling AI/ML theory into practical insights. One concept at a time. No jargon.
| Publishes | Twice monthly | Episodes | 13 | Founded | 9 months ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||

This episode explores multimodal AI : models that can see, read, and even hear. We explain how models like OpenAI’s CLIP learn joint representations of images and text (by matching pictures with their captions), enabling capabilities like image capti... more
This episode dives into strategies for fine-tuning gigantic AI models without needing massive compute. We explain parameter-efficient fine-tuning methods like LoRA (Low-Rank Adaptation), which freezes the original model and trains only small adapter ... more
In this episode, we break down what diffusion models are and why they’ve become the go-to method for AI image generation. You’ll learn how these models gradually add and remove noise to transform random pixels into coherent images, enabling use cases... more
This episode breaks down what graph neural networks (GNNs) are and why they matter. You’ll learn how GNNs use nodes and edges to represent relationships and how message passing lets models make sense of social, biological, and networked data. We’ll a... more
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Content focuses on the intersection of artificial intelligence (AI) and machine learning (ML) with practical insights that can be applied in various industries. Topics commonly addressed include Graph Neural Networks, neuro-symbolic AI, large language model applications in chip design, and advanced AI simulation methods like Markov Chain Monte Carlo. This collection of episodes is structured to minimize jargon, making complex concepts accessible to a broader audience. Unique aspects include the emphasis on real-world applications, the role of AI in managing uncertainty, and the integration of advanced AI technologies into business practices, highlighting its transformative potential in sectors like healthcare, finance, and marketing.
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The Practical AI Digest launched 9 months ago and published 13 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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