Topbots

OCTOBER 4, 2023

Predictive AI is used to predict future events or outcomes based on historical data. For example, a predictive AI model can be trained on a dataset of customer purchase history data and then used to predict which customers are most likely to churn in the next month. virtual models for advertising campaigns).

Generative AI 119

Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 119

AWS Machine Learning Blog

FEBRUARY 24, 2023

This satisfies the strong MME demand for deep neural network (DNN) models that benefit from accelerated compute with GPUs. These include computer vision (CV), natural language processing (NLP), and generative AI models. The impact is more for models using a convolutional neural network (CNN).

BERT 104

BERT NLP Computer Vision Neural Network 104

Viso.ai

MARCH 20, 2024

Foundation models are recent developments in artificial intelligence (AI). Models like GPT 4, BERT, DALL-E 3, CLIP, Sora, etc., are at the forefront of the AI revolution. Use Cases for Foundation Models Applications in Pre-trained Language Models like GPT, BERT, Claude, etc. with labeled data.

AI Development 52

AI Development AI Developer Computer Vision BERT 52

Snorkel AI

MARCH 1, 2023

Foundation Models (FMs), such as GPT-3 and Stable Diffusion, mark the beginning of a new era in machine learning and artificial intelligence. Table of contents What are foundation models? Foundation models are large AI models trained on enormous quantities of unlabeled data—usually through self-supervised learning.

BERT 83

BERT Natural Language Processing Large Language Models NLP 83

Viso.ai

DECEMBER 27, 2023

Contrastive learning is a method where we teach an AI model to recognize similarities and differences of a large number of data points. In a computer vision example of contrast learning, we aim to train a tool like a convolutional neural network to bring similar image representations closer and separate the dissimilar ones.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network NLP 52

Viso.ai

DECEMBER 18, 2023

ONNX can transfer behavior prediction models into game engines. This has the potential to enhance player experience through AI-driven personalization and interactions. Adaptive learning systems can integrate AI models that personalize learning content, allowing for different learning styles across various platforms.

Explainability 52

Explainability Neural Network Deep Learning Machine Learning 52

Viso.ai

MARCH 26, 2024

Attention mechanisms allow artificial intelligence (AI) models to dynamically focus on individual elements within visual data. This enhances the interpretability of AI systems for applications in computer vision and natural language processing (NLP). This mimics the way humans concentrate on specific visual elements at a time.

Deep Learning 52

Deep Learning Computer Vision Neural Network Natural Language Processing 52

Viso.ai

MARCH 26, 2024

With advancements in machine learning (ML) and deep learning (DL), AI has begun to significantly influence financial operations. Arguably, one of the most pivotal breakthroughs is the application of Convolutional Neural Networks (CNNs) to financial processes. 1: Fraud Detection and Prevention No.2:

Computer Vision 52

Computer Vision Neural Network Machine Learning Convolutional Neural Networks 52

Heartbeat

OCTOBER 12, 2023

One of the standout achievements in this domain is the development of models like GPT (Generative Pre-trained Transformer) and BERT (Bidirectional Encoder Representations from Transformers). This hybridization allows LLMs to work in synergy with specialized models to handle multi-modal tasks more efficiently.

Large Language Models 59

Large Language Models Neural Network Convolutional Neural Networks Artificial Intelligence 59

Unite.AI

FEBRUARY 8, 2025

This capability has led to innovations that have entirely transformed the AI domain. Models like BERT and GPT took language understanding to new depths by grasping the context of words more effectively. ChatGPT, for instance, revolutionized conversational AI , transforming customer service and content creation.

Convolutional Neural Networks 272

Convolutional Neural Networks Neural Network Natural Language Processing Robotics 272

John Snow Labs

MAY 8, 2024

Nevertheless, the trajectory shifted remarkably with the introduction of advanced architectures like BERT (Bidirectional Encoder Representations from Transformers) and GPT (Generative Pre-trained Transformer), including subsequent versions such as OpenAI’s GPT-3.

Large Language Models 40

Large Language Models Automation NLP Machine Learning 40