The MLOps Blog

MARCH 23, 2023

NLP models in commercial applications such as text generation systems have experienced great interest among the user. These models have achieved various groundbreaking results in many NLP tasks like question-answering, summarization, language translation, classification, paraphrasing, et cetera.

NLP 115

NLP LLM Large Language Models Natural Language Processing 115

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 90

Auto-classification NLP Auto-complete Computer Vision 90

Becoming Human

MARCH 16, 2023

Photo by NASA on Unsplash Hello and welcome to this post, in which I will study a relatively new field in deep learning involving graphs — a very important and widely used data structure. This post includes the fundamentals of graphs, combining graphs and deep learning, and an overview of Graph Neural Networks and their applications.

Neural Network 87

Neural Network Auto-classification Convolutional Neural Networks Auto-complete 87

AWS Machine Learning Blog

OCTOBER 6, 2023

For instance, in ecommerce, image-to-text can automate product categorization based on images, enhancing search efficiency and accuracy. CLIP model CLIP is a multi-modal vision and language model, which can be used for image-text similarity and for zero-shot image classification.

Generative AI 91

Generative AI Prompt Engineer Prompt Engineering Computer Vision 91

John Snow Labs

MAY 24, 2023

Developing a machine learning model requires a big amount of training data. Therefore, the data needs to be properly labeled/categorized for a particular use case. Top Text Annotation Tools for NLP Each annotation tool has a specific purpose and functionality. – It offers documentation and live demos for ease of use.

Natural Language Processing 52

Natural Language Processing NLP Machine Learning Auto-classification 52

AWS Machine Learning Blog

NOVEMBER 1, 2023

Key strengths of VLP include the effective utilization of pre-trained VLMs and LLMs, enabling zero-shot or few-shot predictions without necessitating task-specific modifications, and categorizing images from a broad spectrum through casual multi-round dialogues.

Auto-classification 87

Auto-classification LLM Auto-complete Generative AI 87

AWS Machine Learning Blog

MAY 2, 2023

With the ability to solve various problems such as classification and regression, XGBoost has become a popular option that also falls into the category of tree-based models. In this post, we dive deep to see how Amazon SageMaker can serve these models using NVIDIA Triton Inference Server. The outputs are then returned.

ML 63

ML Auto-classification Python Machine Learning 63