Best of Generative AI Research this week

We have handpicked some of the best Generative AI research work published

Model Quantization in Deep Learning

Quantization in general can be defined as mapping values from a large

MusicGen from Meta AI — Model Architecture, Vector Quantization and Model Conditining explained

MusicGen or Simple and Controllable Music Generation is the latest work from

Prompting and prompt engineering? — a comprehensive introduction

Prompting and prompt engineering are easily the most in demand skill of

ImageBind: One Embedding Space To Bind Them All — paper explained

Images are truly binding. An image of a beach, reminds the pleasant

DINO-V2: Learning Robust Visual Features without Supervision — Model Explained

Introduction If you take the field of Natural Language Processing, the foundational

Segment Anything Model from Meta AI — Model Architecture, training procedure, Data Engine and Results

If we take a field like Natural language processing, something called the

What are AutoEncoders in Deep Learning?

Autoencoders consists of 2 parts — the encoder and the decoder . The encoder

How I keep abreast with AI research in 2023

Read, watch, code, repeat... Gone are the days when we used to

On choosing the right PhD for you!

I am one of those lucky individuals doing research in one of

Generative models - A gentle introduction

Machine learning models can be broadly divided into discriminative or generative models.