TYPES OF LLMs

Understanding Different Types of LLMs: Distilled, Quantized, and More – A Training Guide

Large Language Models (LLMs) come in various optimized forms, each designed for specific use cases, efficiency, and performance. In this guide, we’ll explore the different types of LLMs (like distilled, quantized, sparse, and MoE models) and how they are trained. In the fast-evolving world of Large Language Models (LLMs), different model types serve different performance and deployment goals…

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DATA WAREHOUSING

How to Build a Data Warehouse from Scratch

How to Build a Data Warehouse from Scratch: Cost + Examples Building a data warehouse from scratch can seem overwhelming, but it is a game-changer for organizations aiming to harness data for informed decision-making. While the initial investment in time and resources might be substantial, the long-term benefits—such as improved data quality, actionable insights, and…

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Key Assumptions for Linear Regression: Ensuring Model Validity

Key Assumptions for Linear Regression: Ensuring Model Validity

Understanding the Assumptions of Linear Regression Linear regression is a powerful statistical technique used for modeling the relationship between a dependent variable and one or more independent variables. While the model can be highly effective for making predictions, its validity and accuracy depend on certain assumptions being met. These assumptions ensure that the model fits…

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AI CHATBOT

Implementing a Custom Website Chatbot From LLMs to Live Implementation For Users

The journey to today’s sophisticated chatbots began decades ago with simple rule-based systems. The field of natural language processing (NLP) has undergone several revolutions: 1. Early Systems (1960s-1990s): ELIZA (1966) and PARRY (1972) used pattern matching to simulate conversation, but had no real understanding. 2. Statistical NLP (1990s-2010s): Systems began using probabilistic models and machine…

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