Threads now has a better word filter than Instagram Threads users can curate separate mute lists and set time limits for blocked words.

Specifically, the pre-trained BERT model is applied to sentence vector training, and the concept of prompt learning is combined. By designing effective Prompt sentence vector templates and the InfoNCE ...

This paper proposes a novel approach for extracting deep features and classifying diseased plant leaves. The agriculture industry is negatively impacted by plant diseases causing crop and economic ...

Meta’s Llama 4 outpaces GPT-4.5 with groundbreaking long-context processing and multimodal support. Learn how it’s transforming industries.

Comprehensive Analysis of Word Embedding Models and Design of Effective Feature Vector for Classification of Amazon Product Reviews Abstract: Sentiment Analysis (SA) is a well-known and emerging ...

Work with static vector models staticvectors makes it easy to work with static vector models. This includes word vector models such as Word2Vec, GloVe and FastText. While Transformers-based models are ...

Learn how to use vector databases for AI SEO and enhance your content strategy. Find the closest semantic similarity for your target query with efficient vector embeddings.

Adobe is introducing some new tools and generative AI features to its Illustrator and Photoshop design software that aim to help speed up creative workflows.

Feature Extraction is a process used to identify and extract relevant information from raw data in machine learning. Learn the full meaning here.

This research proposes and provides empirical support for the “Cognitive Control Model of Work-related Flow,” which integrates antecedents of flow at work related to the ability to focus concentration ...