Beyond Personalization: How LLMs are Revolutionizing Recommendation Systems
We learn how the large language models (LLMs) are shifting the recommendation systems (RecSys) landscape with a particular attention on the P5 model.
Website to perceive science through interesting visualisations. It explains and implements the visualised concepts in Python and Javascript
We learn how the large language models (LLMs) are shifting the recommendation systems (RecSys) landscape with a particular attention on the P5 model.
We learn the difference between the batch and the layer normalization techniques with illustrations. We also provide a Python implementation using PyTorch of the batch and layer normalizations
Using ChatGPT to make PYthon tutorial for beginners
Learn how to track and measure the CO2 emissions released during the training process of a Keras neural network using the open-source Python library CodeCarbon
We learn how to build a simple model in Keras and track its performance as a function of its hyperparameters. In end we use HiPlot to make interactive visualization of the hyperparameters
We learn the concept of the cellular automata through illustrated examples and provide an implementation and animation in Python with Matplotlib
We learn about the BERT model in AI, and how and why it is important to adopt it
We learn about the Riemann-Stieltjes Integral through illustrated examples enriched with Python implementations.
Learn the different techniques on how to augment any NLP data using some simple techniques
Discover the bizarre geometry of the fractals and learn how to make an animated visualization of these marvels using Python and the Matplotlib's Animation API.