Machine Learning

How is ChatGPT Trained to Generate Desired Responses?

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

3 months ago

Machine Learning Lifecycle Example: From Data to Deployment

Last updated: 27th Jan 2024 In this blog, we get an overview of the machine learning lifecycle, from initial data…

3 months ago

Transfer Learning vs Fine Tuning LLMs: Differences

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

3 months ago

Generalization Errors in Machine Learning: Python Examples

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

3 months ago

Distributed LLM Training & DDP, FSDP Patterns: Examples

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

4 months ago

Transformer Architecture Types: Explained with Examples

Are you fascinated by the power of deep learning large language models that can generate creative writing, answer complex questions,…

4 months ago

Blueprint: Deploying Generative AI Applications

In this blog, we will learn about a comprehensive framework for the deployment of generative AI applications, breaking down the…

4 months ago

BERT vs GPT Models: Differences, Examples

Have you been wondering what sets apart two of the most prominent transformer-based machine learning models in the field of…

4 months ago

Demystifying Encoder Decoder Architecture & Neural Network

In the field of AI / machine learning, the encoder-decoder architecture is a widely-used framework for developing neural networks that…

4 months ago

NLP: Different Types of Language Models – Examples

Have you ever wondered how your smartphone seems to know exactly what you're going to type next? Or how virtual…

4 months ago