Machine Learning
Exploring the Evolution from Unimodal to Multimodal Models and Applications of Multimodal Models
IntroductionArtificial intelligence (AI) has transformed the way we interact with technology, enabli...
January 10, 2025
ImageBind: Unifying Six Modalities with Joint Embedding Spaces
Introduction:Imagine a world where different types of data—images, text, audio, depth, thermal, an...
December 28, 2024
Predicting the Future: Leveraging LSTM for Accurate Product Demand Forecasting
Introduction In today’s hyper-competitive business landscape, understanding and predicting cus...
December 24, 2024
Sequential Recommender Systems
Sequential Recommender Systems tries to recommend items based on changing / evolving behaviour of th...
December 10, 2024
Text to Speech Synthesis Model : OuteTTS-0.1-350M
Text-to-speech (TTS) models transform written text into spoken language, allowing machines to "speak...
November 5, 2024
Working with Hugging Face Datasets: A Guide to Efficient Data Handling for Machine Learning
Hugging Face’s datasets library is a specific Python library for loading and processing ...
October 13, 2024
Image Retrieval Using CLIP: A Deep Dive into Multimodal Learning for Visual-Text Matching
Understanding CLIP Embedding and ArchitectureCLIP (Contrastive Language–Image Pretraining) is a mo...
October 13, 2024
