44 citations · 62 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 44 cited
The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities
Venkatesh Balavadhani Parthasarathy, Ahtsham Zafar, Aafaq Khan +1
This report examines the fine-tuning of Large Language Models (LLMs), integrating theoretical insights with practical applications. It outlines the historical evolution of LLMs fro…
cs.CL2023★ 18 cited
Building Trust in Conversational AI: A Comprehensive Review and Solution Architecture for Explainable, Privacy-Aware Systems using LLMs and Knowledge Graph
Ahtsham Zafar, Venkatesh Balavadhani Parthasarathy, Chan Le Van +3
Conversational AI systems have emerged as key enablers of human-like interactions across diverse sectors. Nevertheless, the balance between linguistic nuance and factual accuracy h…