In this document I will share an overview of agents in generative AI. The document offers a comprehensive introduction to the concept and functionality of agents in the field of generative AI. This will cover: • Definition: Explains what agents in
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New to data science? Cosine Similarity might sound complex, but this guide breaks it down in simple terms. Learn how this metric is used to measure similarity between text documents and its real-world applications. Things we will cover in this
This document that I share today, explores the concept of Euclidean distance and its application in measuring user similarity, particularly in the context of recommendation systems. I am sharing clear explanation of Euclidean distance, its calculation, and interpretation of results.
Meta has recently released the largest version of its mostly free Llama 3 artificial intelligence model, boasting impressive multilingual capabilities and superior general performance. With 405 billion parameters, this new version is significantly larger than its predecessor released last year.
With a free Gemini Basic version available and a paid Gemini Advanced model, it’s always interesting to wonder whether it’s worth getting access to the Advanced model. Today in this document, I will share my detailed analysis and comparison between
There are 100s of tools available to support Data Scientists to do their day to day job. But due the usefulness, features and ease to use, few are widely popular compared to rest. This document provides a brief overview of
Quantum computing in the Generative AI space is in its early stages, marked by significant research and experimental developments. While practical applications are limited by current technological constraints, ongoing advancements and increasing investment suggest a promising future where quantum computing
Research papers often present a daunting level of complexity or an overwhelming amount of detail that can be challenging to understand and comprehend. Generative AI can make this process of understanding and decoding the document very easy. The document discusses
Data Science and AI are the basis of Credit Risk. Knowing how various models are created for credit risk (All Major Scores details are publicly available), you can leverage the same to identify best practices to maintain high credit score.
Today’s post shares a summary of key performance indicators (KPIs) for validating large language models (LLMs). It offers concise explanations and formulas for each KPI, along with example values to illustrate what constitutes “good” and “poor” model performance. The KPIs