Browsing: embeddings

Researchers at Meta’s FAIR lab have released NeuralSet, a Python framework designed to eliminate one of the most persistent bottlenecks in Neuro-AI research: the painful, fragmented…

Video semantic search is unlocking new value across industries. The demand for video-first experiences is reshaping how organizations deliver content, and customers expect fast, accurate access…

If you’re looking to enhance your content understanding and search capabilities, audio embeddings offer a powerful solution. In this post, you’ll learn how to use Amazon…

This post shows you how to build a scalable multimodal video search system that enables natural language search across large video datasets using Amazon Nova models…

Embedding models power many modern applications—from semantic search and Retrieval-Augmented Generation (RAG) to recommendation systems and content understanding. However, selecting an embedding model requires careful consideration—after…

In this tutorial, we walk through an end-to-end, advanced workflow for knowledge graph embeddings using PyKEEN, actively exploring how modern embedding models are trained, evaluated, optimized,…

def visualize_results(df, priority_scores, feature_importance): fig, axes = plt.subplots(2, 3, figsize=(18, 10)) fig.suptitle(‘Vulnerability Scanner – ML Analysis Dashboard’, fontsize=16, fontweight=”bold”) axes[0, 0].hist(priority_scores, bins=30, color=”crimson”, alpha=0.7, edgecolor=”black”) axes[0,…

Gaming companies face an unprecedented challenge in managing their advertising creative assets. Modern gaming companies produce thousands of video advertisements for A/B testing campaigns, with some…

Amazon Nova Multimodal Embeddings processes text, documents, images, video, and audio through a single model architecture. Available through Amazon Bedrock, the model converts different input modalities…

The Cohere Embed 4 multimodal embeddings model is now available as a fully managed, serverless option in Amazon Bedrock. Users can choose between cross-Region inference (CRIS) or…