See It, Track It: Your Guide to Object Recognition and Tracking
Object Recognition is a computer vision task that involves identifying the objects present in […]
Prakash Mayane
on July 18th, 2025
Simple Fact Learning by SLMs: Comparative Study of Fine-Tuning Techniques
Fine-tuning small language models (SLMs) is an increasingly popular way to adapt compact AI […]
Suganya Selvaraj
on July 18th, 2025
Learning on the Fly : User Driven Adaptation in Small Language models
Cybersecurity demands a proactive approach, going beyond simply reacting to threats. It demands proactive, […]
Ameya Arunkumar Shetti
on July 9th, 2025
Inside the AI Brain: Chapter 2 – The Transformer Evolution
From Breakthrough to Optimization – How Transformers Overcame Their Limits In our first chapter, […]
Ujjwal Tiwari
on June 9th, 2025
Inside the AI Brain: Chapter 1-The Journey from Words to Understanding
A deep dive into the architecture that powers ChatGPT, Claude, and every major AI […]
Ujjwal Tiwari
on June 9th, 2025
RAG Demystified: Part 1
Welcome to the first installment of our comprehensive 5-part series on Retrieval-Augmented Generation (RAG). […]
Karthikeyan S
on June 9th, 2025
Enabling Efficient LLM Tuning: The Role of LoRA and Its Variants
Large Language Models such as GPT, BERT, T5, and LLaMA have transformed natural language […]
Suganya Selvaraj
on June 4th, 2025
The Evolution of Model Performance: From Pre-training Scaling Laws to Test-Time Compute
The factors driving large language model performance have fundamentally shifted over the past five […]
Chetana Amancharla
on June 3rd, 2025
The Great Leap: How AI Learned to Think Before It Speaks
The remarkable journey from instant answers to deep reasoning in artificial intelligence The Lightning-Fast […]
Chetana Amancharla
on May 23rd, 2025
Beyond the Knowledge Cutoff: How Leading AI Models Respond to Post-Training Framework Updates
Abstract This study evaluates the adaptability of five prominent large language models (LLMs) when […]
Chetana Amancharla
on May 16th, 2025
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