42:I[185,["/_next/static/chunks/3xnt26d00_zk-.js","/_next/static/chunks/1s-yni1uf2lwd.js","/_next/static/chunks/42spz6paskvb6.js","/_next/static/chunks/06x30xgfe6iur.js","/_next/static/chunks/3b4qrzgkt_l12.js","/_next/static/chunks/15lgs8s22dk5l.js"],"SendEmailButton"] 44:I[63625,["/_next/static/chunks/3xnt26d00_zk-.js","/_next/static/chunks/1s-yni1uf2lwd.js","/_next/static/chunks/42spz6paskvb6.js","/_next/static/chunks/06x30xgfe6iur.js","/_next/static/chunks/3b4qrzgkt_l12.js","/_next/static/chunks/15lgs8s22dk5l.js"],"AddToLibraryButton"] 45:I[29721,["/_next/static/chunks/3xnt26d00_zk-.js","/_next/static/chunks/1s-yni1uf2lwd.js","/_next/static/chunks/42spz6paskvb6.js","/_next/static/chunks/06x30xgfe6iur.js","/_next/static/chunks/3b4qrzgkt_l12.js","/_next/static/chunks/15lgs8s22dk5l.js"],"ShareButton"] 46:I[58016,["/_next/static/chunks/3xnt26d00_zk-.js","/_next/static/chunks/1s-yni1uf2lwd.js","/_next/static/chunks/42spz6paskvb6.js","/_next/static/chunks/06x30xgfe6iur.js","/_next/static/chunks/3b4qrzgkt_l12.js","/_next/static/chunks/15lgs8s22dk5l.js"],"ProcessEpisodeButton"] 47:I[45269,["/_next/static/chunks/3xnt26d00_zk-.js","/_next/static/chunks/1s-yni1uf2lwd.js","/_next/static/chunks/42spz6paskvb6.js","/_next/static/chunks/06x30xgfe6iur.js","/_next/static/chunks/3b4qrzgkt_l12.js","/_next/static/chunks/15lgs8s22dk5l.js"],"SignupCTA"] 39:["$","time",null,{"dateTime":"2025-03-18T03:12:08.000Z","children":"March 18, 2025"}] 3a:["$","span",null,{"aria-hidden":true,"children":"·"}] 3b:["$","span",null,{"children":"00:23:42"}] 3c:["$","p",null,{"className":"max-w-[60ch] text-[18px] leading-[1.5] text-[color:var(--fg-2)]","children":"Akash and Isha are joined by guest research engineers, Shivchander Sudalairaj, GX Xu, and Kai Xu, to discuss a crucial topic that’s making waves in AI performance: inference-time scaling."}] 43:T41c,

In our first episode of No Math AI, Akash and Isha are joined by guest research engineers, Shivchander Sudalairaj, GX Xu, and Kai Xu, to discuss a crucial topic that’s making waves in AI performance: inference-time scaling.

Simple put, inference-time scaling is a cost-effective method for improving AI model performance. Discover how this technique enhances reasoning in smaller language models, powers agentic AI, and ensures higher accuracy in mission-critical applications where precision is key.

The discussion covers how inference-time scaling boosts model performance and decision-making in AI systems. Our guests also highlight a groundbreaking research paper that unveils how a probabilistic approach to selecting the best answers in reasoning models can significantly enhance accuracy.

Read the research paper: https://probabilistic-inference-scaling.github.io/

Guests:

Shivchander Sudalairaj
GX Xu
Kai Xu