
“Gradient Descent" is a podcast that delves into the depths of artificial intelligence and data science. Hosted by Vishnu Vettrivel (Founder of Wisecube AI) and Alex Thomas (Principal Data Scientist), the show explores the latest trends, innovations, and practical applications in AI and data science. Join us to learn more about how these technologies are shaping our future.
| Publishes | Twice monthly | Episodes | 6 | Founded | 9 months ago |
|---|---|---|---|---|---|
| Category | Technology | ||||

In this episode, Vishnu and Alex reflect on Wisecube’s 8-year journey and over 15 years of experience in AI and NLP. They discuss pioneering search engines using TF-IDF to build knowledge graphs (Orpheus), addressing LLM reliability with Pythia, expl... more
In this episode of Gradient Descent, we explore two competing approaches to fine-tuning LLMs: Reinforcement Learning with Human Feedback (RLHF) and Direct Preference Optimization (DPO). Dive into the mechanics of RLHF, its computational challenges, a... more
Explore the evolution of prompt engineering in this episode of Gradient Descent. Manual prompt tuning — slow, brittle, and hard to scale — is giving way to DSPy, a framework that turns LLM prompting into a structured, programmable, and optimizable pr... more
Let’s dive into Agentic AI, guided by the "Cognitive Architectures for Language Agents" (CoALA) paper. What defines an agentic system? How does it plan, leverage memory, and execute tasks? We explore semantic, episodic, and procedural memory, discuss... more
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Apple Podcasts | #200 |
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Gradient Descent launched 9 months ago and published 6 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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