Prothito Shovon Majumder

Prothito Shovon Majumder

Adjunct Lecturer, BRACU.
RA at CAIL, DU.
CS Graduate, University of Dhaka.

Posts by Tags

computer vision

deep learning

Hands-On Deep Learning and Open-source Large Language Model Workshop

less than 1 minute read

Published:

The Cognitive Agents and Interaction Lab at University of Dhaka arranged a workshop on deep learning and open-source LLMs, where I was one of the presenters and trainers. The contents discussed in the workshop included multilayer perceptrons, neural networks and their implementations in PyTorch, transformer architectures, attention mechanisms, LLM fine-tuning and deployments.

image deblurring

large language models

Hands-On Deep Learning and Open-source Large Language Model Workshop

less than 1 minute read

Published:

The Cognitive Agents and Interaction Lab at University of Dhaka arranged a workshop on deep learning and open-source LLMs, where I was one of the presenters and trainers. The contents discussed in the workshop included multilayer perceptrons, neural networks and their implementations in PyTorch, transformer architectures, attention mechanisms, LLM fine-tuning and deployments.

multilayer perceptron

neural networks

Hands-On Deep Learning and Open-source Large Language Model Workshop

less than 1 minute read

Published:

The Cognitive Agents and Interaction Lab at University of Dhaka arranged a workshop on deep learning and open-source LLMs, where I was one of the presenters and trainers. The contents discussed in the workshop included multilayer perceptrons, neural networks and their implementations in PyTorch, transformer architectures, attention mechanisms, LLM fine-tuning and deployments.

statistical algorithms

transformers

Hands-On Deep Learning and Open-source Large Language Model Workshop

less than 1 minute read

Published:

The Cognitive Agents and Interaction Lab at University of Dhaka arranged a workshop on deep learning and open-source LLMs, where I was one of the presenters and trainers. The contents discussed in the workshop included multilayer perceptrons, neural networks and their implementations in PyTorch, transformer architectures, attention mechanisms, LLM fine-tuning and deployments.