Marktechpost

FEBRUARY 22, 2025

fine_tuned_nv_embed") print(" Training Complete! Finally, we save the fine-tuned model and its tokenizer to the specified directory and then print a confirmation message indicating that training is complete and the model is saved. fine_tuned_nv_embed") tokenizer.save_pretrained("./fine_tuned_nv_embed") Model Saved.")

Auto-classification 43

Auto-classification Auto-complete NLP AI Research 43

Marktechpost

NOVEMBER 25, 2023

Such a representation makes many subsequent tasks, including those involving vision, classification, recognition and segmentation, and generation, easier. Therefore, encoders, decoders, and auto-encoders can all be implemented using a roughly identical crate design. All credit for this research goes to the researchers of this project.

Deep Learning 126

Deep Learning Auto-classification Auto-complete BERT 126

Google Research AI blog

JANUARY 18, 2023

We have also seen significant success in using large language models (LLMs) trained on source code (instead of natural language text data) that can assist our internal developers, as described in ML-Enhanced Code Completion Improves Developer Productivity. language models, image classification models, or speech recognition models).

Computer Vision 132

Computer Vision Auto-classification Large Language Models Neural Network 132

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. When used in GPU architectures, this framework can complete tasks 140 times faster.

Machine Learning 52

Machine Learning ML Neural Network Auto-classification 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. trillion tokens. scripts, which are available on GitHub.

Conversational AI 98

Conversational AI AI Modeling Large Language Models Auto-classification 98