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title: Large Tabular Models Excel Where LLMs Fail | daily.dev
description: Researchers at Princeton have developed an AI-driven framework for designing radio-frequency integrated circuits (RFICs) from scratch, bypassing the...
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> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Large Tabular Models Excel Where LLMs Fail

**[IEEE Spectrum](https://daily.dev/sources/ieeespectrum)** · 19 min read · 0 upvotes · 0 comments

## Summary

Researchers at Princeton have developed an AI-driven framework for designing radio-frequency integrated circuits (RFICs) from scratch, bypassing the traditional reliance on human-crafted design templates. Using reinforcement learning to determine circuit architecture and topology, combined with a convolutional neural network-based electromagnetic emulator for inverse design, the system can produce fabrication-ready RFIC layouts in minutes rather than months. Prototype power amplifiers achieved record-setting performance across 5G and radar frequency bands with unconventional, non-human-like layouts. A diffusion model was also developed to allow designers to tune the interpretability of generated structures. The main remaining challenges are reducing AI hallucinations, maintaining human oversight for verification, and building open datasets of simulated RF circuits to train more generalizable foundation models.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://spectrum.ieee.org/large-tabular-models-nexus>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#hardware](https://daily.dev/tags/hardware), [#reinforcement-learning](https://daily.dev/tags/reinforcement-learning)

[View this post on daily.dev](https://daily.dev/posts/large-tabular-models-excel-where-llms-fail-m4afd4hqb)

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