Marktechpost

AUGUST 10, 2023

By leveraging pre-trained LLMs and powerful vision foundation models (VFMs), the model demonstrates promising performance in discriminative tasks like image-text retrieval and zero classification, as well as generative tasks such as visual question answering (VQA), visual reasoning, image captioning, region captioning/VQA, etc.

Auto-classification 98

Auto-classification Natural Language Processing Large Language Models LLM 98

Marktechpost

MARCH 6, 2025

This compact, instruction-tuned model is optimized to handle tasks like sentiment classification directly within Colab, even under limited computational resources. By printing the updated reviews_df, we can see the original text and its corresponding sentiment classification. Here is the Colab Notebook.

Auto-classification 46

Auto-classification NLP AI Modeling Natural Language Processing 46

Google Research AI blog

JANUARY 18, 2023

This approach outperforms other state-of-the-art models on the ImageNet-1k classification task and various object detection tasks, but with significantly lower computational costs. language models, image classification models, or speech recognition models). Sample attention configurations for multi-modal transformer encoders.

Computer Vision 132

Computer Vision Auto-classification Large Language Models Neural Network 132

Marktechpost

SEPTEMBER 4, 2024

This effort was a comprehensive collaborative initiative between legal experts and AI researchers, ensuring that the tool addresses technical and legal aspects of dataset use. The DPExplorer employs an extensive pipeline to gather and verify metadata from widely used AI datasets.

Metadata 56

Metadata Auto-classification AI AI 56

Marktechpost

JULY 24, 2023

Experiments demonstrated that SA-DPSGD significantly outperforms the state-of-the-art schemes, DPSGD, DPSGD(tanh), and DPSGD(AUTO-S), regarding privacy cost or test accuracy. According to the authors, SA-DPSGD significantly bridges the classification accuracy gap between private and non-private images. Check out the Paper.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Auto-classification Deep Learning 52

Pickl AI

JANUARY 23, 2023

This framework can perform classification, regression, etc., The machine learning models developed by TensorFlow are simple to construct, capable of producing reliable results, and allow for effective experimentation in research. Pros It’s very efficient to perform auto ML along with H2O. It is an open source framework.

Machine Learning 52

Machine Learning ML Neural Network Auto-classification 52

Bugra Akyildiz

MAY 14, 2023

Simulation of consumption of queue up to drivers estimated position becomes an easy simple algorithm and results in wait time classification. Libraries Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. They refer to this as our “demand” model.

Auto-classification 52

Auto-classification LLM ML Python 52

Viso.ai

DECEMBER 22, 2023

The Segment Anything Model (SAM), a recent innovation by Meta’s FAIR (Fundamental AI Research) lab, represents a pivotal shift in computer vision. Today, the computer vision project has gained enormous momentum in mobile applications, automated image annotation tools , and facial recognition and image classification applications.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Auto-classification 52

John Snow Labs

JUNE 27, 2023

This bidirectional understanding significantly enhances its ability to comprehend nuanced language structures, leading to improved performance in various NLP tasks such as text classification, question answering, and named entity recognition. This specialization allows for more accurate sentiment classification within specific contexts.

Large Language Models 52

Large Language Models BERT Natural Language Processing NLP 52

Marktechpost

JULY 15, 2023

Based on the transformer architecture, Vicuna is an auto-regressive language model and offers natural and engaging conversation capabilities. The chatbot is designed for conversation and instruction and excels in summarizing, generating tables, classification, and dialog. Check out the Paper and GitHub link.

Conversational AI 98

Conversational AI AI Modeling Large Language Models Auto-classification 98

Topbots

JUNE 29, 2023

If this in-depth educational content is useful for you, you can subscribe to our AI research mailing list to be alerted when we release new material. It not only requires SQL mastery on the part of the annotator, but also more time per example than more general linguistic tasks such as sentiment analysis and text classification.

Algorithm 52

Algorithm Auto-complete Data Scientist Auto-classification 52