Towards AI

FEBRUARY 13, 2023

A practical guide on how to perform NLP tasks with Hugging Face Pipelines Image by Canva With the libraries developed recently, it has become easier to perform deep learning analysis. Hugging Face is a platform that provides pre-trained language models for NLP tasks such as text classification, sentiment analysis, and more.

Auto-classification 91

Auto-classification NLP Auto-complete Computer Vision 91

Mlearning.ai

JUNE 28, 2023

There will be a lot of tasks to complete. I came up with an idea of a Natural Language Processing (NLP) AI program that can generate exam questions and choices about Named Entity Recognition (who, what, where, when, why). This is the link [8] to the article about this Zero-Shot Classification NLP. Let’s begin!

Machine Learning 52

Machine Learning NLP Auto-classification Natural Language Processing 52

The MLOps Blog

FEBRUARY 27, 2023

Also, science projects around technologies like predictive modeling, computer vision, NLP, and several profiles like commercial proof of concepts and competitions workshops. Michal, to warm you up for all this question-answering, how would you explain to us managing computer vision projects in one minute? This is a much harder thing.

Computer Vision 52

Computer Vision Auto-classification Auto-complete ML 52

Mlearning.ai

FEBRUARY 19, 2023

Along with text generation it can also be used to text classification and text summarization. Natural Language Processing (NLP) NLP is subset of Artificial Intelligence that is concerned with helping machines to understand the human language. The auto-complete feature on your smartphone is based on this principle.

Auto-classification 52

Auto-classification Natural Language Processing Auto-complete NLP 52

AWS Machine Learning Blog

APRIL 8, 2024

This version offers support for new models (including Mixture of Experts), performance and usability improvements across inference backends, as well as new generation details for increased control and prediction explainability (such as reason for generation completion and token level log probabilities).

Auto-complete 89

Auto-complete LLM Deep Learning Auto-classification 89

AWS Machine Learning Blog

MAY 31, 2024

It’s built on causal decoder-only architecture, making it powerful for auto-regressive tasks. After deployment is complete, you will see that an endpoint is created. The output shows the expected JSON file content, illustrating the model’s natural language processing (NLP) and code generation capabilities.

Python 100

Python Machine Learning Auto-classification ML 100

Jay Alammar

DECEMBER 16, 2020

This article focuses on auto-regressive models, but these methods are applicable to other architectures and tasks as well. input saliency is a method that explains individual predictions. Multiple methods exist for assigning importance scores to the inputs of an NLP model. A breakdown of this architecture is provided here.

Explainability 52

Explainability Auto-complete Auto-classification Neural Network 52