AI Geek Programmer Blog
Machine learning, computer vision, deep learning and artificial intelligence engineering.
Crafting Text Generators: A Dive into Transformer Architecture
- AI Geek Programmer
- NLP
- 19 August 2023
A small decoder-based language model. Or how to use part of the Transformer architecture to generate text resembling a well-known literary work (Pytorch).
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Fine-tuning with limited hardware resources
- AI Geek Programmer
- NLP
- 26 June 2023
Efficient fine-tuning of a large language model in Google Colab using PEFT, LoRa and quantization (base model: RedPajama INCITE Chat 3B)
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Welcome tomorrow - how AI will shape the world by 2032
- AI Geek Programmer
- MACHINE LEARNING
- 17 December 2022
Some of my thoughts and predictions on how AI will change the world in the next 10 years.
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PyTorch: dividing dataset, transformations, training on GPU and metric visualization
- AI Geek Programmer
- COMPUTER VISION
- 10 April 2022
Practical tips on dividing a dataset for training, validation and testing, applying transformations, moving to a GPU and metrics visualization.
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Data preparation with Dataset and DataLoader in Pytorch
- AI Geek Programmer
- MACHINE LEARNING
- 3 September 2021
How to use Dataset and DataLoader classes to prepare data for machine learning in PyTorch
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YOLO fast object detection and classification
- AI Geek Programmer
- COMPUTER VISION
- 4 June 2021
YOLO fast object detection and classification. Brief introduction to the YOLO algorithm plus installation tips for Ubuntu.
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- machine learning
- artificial intelligence
- deep learning
- shape recognition
- python
- keras
- convolutional neural networks
- numpy
- cifar10
- convnets
- tensorflow
- ai
- overfitting
- anaconda
- mnist
- pytorch
- data augmentation
- development environment
- dropout
- GPU
- nlp
- scikit-learn
- transformer architecture
- batch normalization
- blockchain
- digits dataset
- google colab
- huggingface
- internal covariate shift
- k-nn