Karthikeyan Dhanakotti – Medium

Karthikeyan Dhanakotti

Beyond Attention: The Role of Positional Embeddings in Transformers

Introduction

Feb 3

Beyond Attention: The Role of Positional Embeddings in Transformers

Feb 3

Choosing the Best Approach for Multi-Class Text Classification: A Comprehensive Guide

Text classification is one of the foundational tasks in natural language processing (NLP), widely used for spam detection, sentiment…

Jan 9

Choosing the Best Approach for Multi-Class Text Classification: A Comprehensive Guide

Jan 9

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Optimizing Generative AI with Vector Databases: A Deep Dive into Search Algorithms and Techniques

The explosion of Generative AI (GenAI) models has significantly transformed fields like natural language processing, computer vision, and…

Sep 14, 2024

Optimizing Generative AI with Vector Databases: A Deep Dive into Search Algorithms and Techniques

Sep 14, 2024

OpenAI o1- think before they speak

The OpenAI o1 models are designed to “think before they speak,” which means they spend more time reasoning through problems before…

Sep 14, 2024

OpenAI o1- think before they speak

Sep 14, 2024

Tokenization and Subword Tokenization in Generative AI: A Complete Guide

Introduction to Tokenization

Sep 8, 2024

Tokenization and Subword Tokenization in Generative AI: A Complete Guide

Sep 8, 2024

Unlocking Efficiency and Scale: The Mixture of Experts (MoE) and Sparse MoE (SMoE) Architectures…

Think of a hospital with a team of specialist doctors — each doctor is an expert in a different area, such as cardiology, neurology, or…

Aug 24, 2024

Unlocking Efficiency and Scale: The Mixture of Experts (MoE) and Sparse MoE (SMoE) Architectures…

Aug 24, 2024

Published in
Data Science at Microsoft

Exploring quantization in Large Language Models (LLMs): Concepts and techniques

Large Language Models (LLMs) such as GPT have transformed natural language processing (NLP), with GPT-3 featuring an impressive 175 billion…

Aug 20, 2024

Exploring quantization in Large Language Models (LLMs): Concepts and techniques

Aug 20, 2024

RAGAS for RAG in LLMs: A Comprehensive Guide to Evaluation Metrics.

Introduction

Aug 15, 2024

RAGAS for RAG in LLMs: A Comprehensive Guide to Evaluation Metrics.

Aug 15, 2024

Correlation: Pearson vs. Spearman Rank Correlation

Introduction

Aug 11, 2024

Correlation: Pearson vs. Spearman Rank Correlation

Aug 11, 2024

Boosting Retrieval in RAG for LLMs: The Power of BM25 and RRF

BM25 (Best Matching 25) and RRF (Reciprocal Rank Fusion) are two techniques that can be used to improve the retrieval step in…

Aug 11, 2024

Boosting Retrieval in RAG for LLMs: The Power of BM25 and RRF

Aug 11, 2024

Karthikeyan Dhanakotti

Karthikeyan Dhanakotti

AI/ML & Data Science Leader @ Microsoft , Mentor/Speaker, AI/ML Enthusiast | Microsoft Certified.

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