Dhanasree RajamaniFine-Tuning GPT 3.5 TurboWe’ve all experienced using models like GPT-3.5, GPT-4, and LLAMA-3. Now, we aim to develop our own model fine-tuned with custom datasets…May 21May 21
Dhanasree RajamaniChat copilot with semantic kernel framework — using assistant APIIn this article we will see the steps to create a chat co-pilot with semantic kernel framework, using the assistant APINov 28, 20231Nov 28, 20231
Dhanasree RajamaniGenerative AI based app using VercelIn this article I will demonstrate how I developed and deployed a simple generative AI based web application using Vue, Vite and Vercel.Nov 24, 2023Nov 24, 2023
Dhanasree RajamaniA Survey on Fairness in Large Language ModelsThis article is based on a research paper which talks about the bias in large language models, reasons, evaluation and strategies to…Nov 23, 2023Nov 23, 2023
Dhanasree RajamaniText Generation with TransformersFor code with detailed comments:Sep 28, 2023Sep 28, 2023
Dhanasree RajamaniMastering the Art of Prompt Engineering: Crafting Thoughtful Questions for AI and BeyondThe digital age’s crown jewel is arguably the AI systems, one of which you’re interacting with right now! As AI grows smarter and more…Sep 26, 2023Sep 26, 2023
Dhanasree RajamaniThe Science Behind Prompt Engineering: A Guide for AI & NLP ExpertsWith AI systems like GPT-4 growing exponentially in their capabilities, the subtle science of prompt engineering has become more relevant…Sep 26, 2023Sep 26, 2023
Dhanasree RajamaniPrompt Engineering — What, Why and Best PracticesPrompt engineering is an emerging field which aims to improve the performance, accuracy and efficiency of Natural Language Processing…Apr 23, 2023Apr 23, 2023
