Unite.AI

DECEMBER 19, 2023

Once the repository is ready, we build datasets using all file types with malicious and benign classifications along with other metadata. This data is continually learning on its own without our input. We tweak outcomes to teach the brain and then it continues to learn.

Neural Network 147

Neural Network Deep Learning ML Metadata 147

The MLOps Blog

APRIL 20, 2023

Learn more → Best MLOps Tools For Your Computer Vision Project Pipeline → Building MLOps Pipeline for Computer Vision: Image Classification Task [Tutorial] Fine-tuning Model fine-tuning and Transfer Learning have become essential techniques in my workflow when working with CV models. to prevent performance bottlenecks.

Computer Vision 64

Computer Vision Auto-classification Neural Network Convolutional Neural Networks 64

Defined.ai blog

SEPTEMBER 21, 2023

Example 4: Sentiment Analysis & Text Classification Brands tap into NLP for sentiment analysis, sifting through thousands of online reviews or social media mentions to gauge public sentiment. Example 5: Autocomplete & Predictive Text Think about the last time your messaging app suggested the next word or auto-corrected a typo.

Natural Language Processing 52

Natural Language Processing NLP Auto-classification Data Mining 52

John Snow Labs

JUNE 27, 2023

Moreover, LLMs continuously learn from customer interactions, allowing them to improve their responses and accuracy over time. It is trained on large-scale datasets containing examples of various NLP tasks, including text classification, summarization, translation, question-answering, and more.

Large Language Models 52

Large Language Models BERT Natural Language Processing NLP 52