How is ChatGPT Trained to Generate Desired Responses?

11 months ago

Last updated: 27th Jan, 2024 Training an AI / Machine Learning model as sophisticated as the one used by ChatGPT…

AI-Ready Data Explained with Examples

11 months ago

AI-ready data usually refers to data that has been prepared in such a way that it can be effectively used…

First Principles Thinking Explained with Examples

11 months ago

Last updated: 23rd Jan, 2024 Can innovation be taught and learned methodically? Can there be an innovation playbook using which,…

Transfer Learning vs Fine Tuning LLMs: Differences

11 months ago

Last updated: 23rd Jan, 2024 Two NLP concepts that are fundamental to large language models (LLMs) are transfer learning and…

AI-assisted Software Development: Tools & Processes

11 months ago

In the rapidly evolving landscape of software development, the integration of artificial intelligence (AI) and generative AI (Gen AI) is…

Generalization Errors in Machine Learning: Python Examples

11 months ago

Last updated: 21st Jan, 2024 Machine Learning (ML) models are designed to make predictions or decisions based on data. However,…

Transformer Architecture in Deep Learning: Examples

11 months ago

The Transformer model architecture, introduced by Vaswani et al. in 2017, is a deep learning model that has revolutionized the…

LLM Training & GPU Memory Requirements: Examples

11 months ago

As data scientists and MLOps Engineers, you must have come across the challenges related to managing GPU requirements for training…

Instruction Fine-tuning LLM Explained with Examples

11 months ago

A pre-trained or foundation model is further trained (or fine-tuned) with instructions datasets to help them learn about your specific…

Distributed LLM Training & DDP, FSDP Patterns: Examples

11 months ago

Training large language models (LLMs) like GPT-4 requires the use of distributed computing patterns as there is a need to…