Browsing: Data Science
Leveraging Pre-trained Models, Augmenting Images and Bounding Boxes, and Unveiling the Power of Convolutional Neural Networks in Object DetectionDeep learning has made huge progress over the…
LLMs today suffer from inaccuracies at scale, but that doesn’t mean you should cede competitive ground by waiting to adopt generative AI.Building an AI-ready workforce with…
The work is done in a Google Colab Pro with a V100 GPU and High RAM setting for the steps involving LLM. The notebook is divided…
Gaussian Processes from Scratch. Gain a deeper understanding of Gaussian… | by Theo Wolf | Jan, 2024
Gain a deeper understanding of Gaussian processes by implementing them with only NumPy.Gaussian Processes (GPs) are an incredible class of models. There are very few Machine…
Today, the world is abuzz with LLMs, short for Large Language models. Not a day passes without the announcement of a new language model, fueling the…
How to do poorly on Kaggle, and learn about RAG+LLM from it23 min read·Dec 25, 2023Image generated with ChatGPT+/DALL-E3, asking for an illustrative image for an…
Uncovering the power and applications of a rising deep learning algorithmPhoto by Moritz Kindler on UnsplashThrough this article, I aim to introduce you to a growingly…
Repositories with the most stars!Happy New Year 2024! As the first post in the new year, just like what I did before, I’m very curious about…
Use various data source types to quickly generate text data for artificial datasets.Image generated with DALL-E 3In a previous article, we explored creating many-to-one relationships between…
Let’s get started with our main activity.The design decisions left for us in the model architecture are typically expressed as hyperparameters. For LoRA specifically, we can…