Search Results for author: Akhilesh Kumar

Found 2 papers, 0 papers with code

Novel Preprocessing Technique for Data Embedding in Engineering Code Generation Using Large Language Model

no code implementations27 Nov 2023 Yu-Chen Lin, Akhilesh Kumar, Norman Chang, Wenliang Zhang, Muhammad Zakir, Rucha Apte, Haiyang He, Chao Wang, Jyh-Shing Roger Jang

We present four main contributions to enhance the performance of Large Language Models (LLMs) in generating domain-specific code: (i) utilizing LLM-based data splitting and data renovation techniques to improve the semantic representation of embeddings' space; (ii) introducing the Chain of Density for Renovation Credibility (CoDRC), driven by LLMs, and the Adaptive Text Renovation (ATR) algorithm for assessing data renovation reliability; (iii) developing the Implicit Knowledge Expansion and Contemplation (IKEC) Prompt technique; and (iv) effectively refactoring existing scripts to generate new and high-quality scripts with LLMs.

Code Generation Language Modelling +2

A Thermal Machine Learning Solver For Chip Simulation

no code implementations10 Sep 2022 Rishikesh Ranade, Haiyang He, Jay Pathak, Norman Chang, Akhilesh Kumar, Jimin Wen

Thermal analysis provides deeper insights into electronic chips behavior under different temperature scenarios and enables faster design exploration.

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