Natural Language Processing Archives

Deep Learning Natural Language Processing

Automating Generative AI Optimization with TextGrad: A Breakthrough in AI System Refinement

Nikhil Tomar1st April 2025

TextGrad is revolutionizing AI optimization by automating system refinement using natural language feedback. AI systems now rely on multiple large language models (LLMs) and external tools for complex tasks. Traditionally,...

Visual Question Answering from Scratch using TensorFlow

Nikhil Tomar15th January 202515th January 2025

Visual Question Answering (VQA) is a fascinating field in artificial intelligence where a system answers questions about an image. This combines natural language processing (NLP) to understand the question and...

Deep Learning Natural Language Processing

Key Components of Large Language Models (LLMs)

Nikhil Tomar18th September 202418th September 2024

Large Language Models (LLMs) have become the backbone of modern Natural Language Processing (NLP), pushing the boundaries of tasks like text generation, summarization, machine translation, and question-answering. These models are...

Deep Learning Natural Language Processing

A Brief History of Large Large Language Models (LLMs)

Nikhil Tomar14th September 202414th September 2024

Artificial intelligence (AI) has made remarkable progress in recent years, particularly in natural language processing (NLP). One of the most significant developments has been the rise of large language models...

Artificial Intelligence Natural Language Processing

What is a Large Language Model (LLM)?

Nikhil Tomar11th September 202411th September 2024

Large Language Models (LLMs) have revolutionized the field of artificial intelligence (AI) by enabling machines to understand and generate human language in a once unimaginable way. These powerful models, built...

Deep Learning Natural Language Processing

What is ChatGPT?

Nikhil Tomar21st January 202321st January 2023

ChatGPT is a state-of-the-art natural language processing model developed by OpenAI. It is based on transformer architecture and is trained on a massive amount of conversational data. In this blog...