Deep Learning

Transformer Architecture in Deep Learning: Examples

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

10 months ago

Instruction Fine-tuning LLM Explained with Examples

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

10 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…

10 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,…

10 months ago

Pre-trained Models Explained with Examples

NLP has been around for decades, but it has recently seen an explosion in popularity due to pre-trained models (PTMs),…

10 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…

10 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…

10 months ago

Machine Learning Definition, Examples, Method, Types

Last updated: 3rd Jan, 2024 Machine learning is a machine's ability to learn from data. It has been around for…

10 months ago

Large Language Models (LLMs) & Semantic Search: Examples

Have you ever marveled at how typing a few words into a search engine yields exactly the information you're looking…

10 months ago

Generative AI Examples, Use Cases, Applications

Last updated: 12th Dec, 2023 Machine learning, particularly in the field of Generative AI or generative modeling, has seen significant…

11 months ago