Fine-Tuning LLMs with LoRA Adapters: A Comprehensive Guide
Introduction Fine-tuning large language models (LLMs) can be computationally expensive and resource-intensive. Low-Rank Adaptation (LoRA) provides a more efficient and affordable way to fine-tune these models. In this blog, we’ll explore what Low-Rank Adaptation (LoRA) is, how it works, and how to apply it for fine-tuning an LLM. What is LoRA? Low-Rank Adaptation (LoRA) is…
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Priyadharshini
The Fundamentals of NLP: How Machines Understand Human Language
Introduction In recent years, Natural Language Processing (NLP) has transformed the way humans interact with machines. From voice assistants like Siri and Alexa to chatbots providing customer support, NLP lies at the heart of many AI-driven technologies. However, a key question remains: how do machines actually understand human language, which is filled with nuance, slang,…
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Priyadharshini
Voice UX Design & Multimodal Interfaces: What Works & Fails
Voice UX Design has come a long way, from being a futuristic novelty to becoming an essential part of everyday digital interactions. What started with Apple’s Siri and Amazon’s Alexa has now evolved into sophisticated, AI-powered assistants like Google Assistant and ChatGPT’s voice mode. Today, people use voice interfaces not just for convenience, but as…
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Priyadharshini
Top Use Cases of Natural Language Processing (NLP) in 2025
Natural Language Processing (NLP) is one of the most exciting and transformative innovations in Artificial Intelligence. By enabling computers to interpret, analyze, and process human speech and written language, NLP has revolutionized various industries. It combines computational linguistics with Machine Learning (ML) to handle vast amounts of natural language data, empowering technologies like Large Language…
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