arXiv Open Access 2024

Evaluating Telugu Proficiency in Large Language Models_ A Comparative Analysis of ChatGPT and Gemini

Katikela Sreeharsha Kishore Rahimanuddin Shaik
Lihat Sumber

Abstrak

The growing prominence of large language models (LLMs) necessitates the exploration of their capabilities beyond English. This research investigates the Telugu language proficiency of ChatGPT and Gemini, two leading LLMs. Through a designed set of 20 questions encompassing greetings, grammar, vocabulary, common phrases, task completion, and situational reasoning, the study delves into their strengths and weaknesses in handling Telugu. The analysis aims to identify the LLM that demonstrates a deeper understanding of Telugu grammatical structures, possesses a broader vocabulary, and exhibits superior performance in tasks like writing and reasoning. By comparing their ability to comprehend and use everyday Telugu expressions, the research sheds light on their suitability for real-world language interaction. Furthermore, the evaluation of adaptability and reasoning capabilities provides insights into how each LLM leverages Telugu to respond to dynamic situations. This comparative analysis contributes to the ongoing discussion on multilingual capabilities in AI and paves the way for future research in developing LLMs that can seamlessly integrate with Telugu-speaking communities.

Topik & Kata Kunci

Penulis (2)

K

Katikela Sreeharsha Kishore

R

Rahimanuddin Shaik

Format Sitasi

Kishore, K.S., Shaik, R. (2024). Evaluating Telugu Proficiency in Large Language Models_ A Comparative Analysis of ChatGPT and Gemini. https://arxiv.org/abs/2404.19369

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2024
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓