Towards AI

JANUARY 29, 2025

Generative AI is powered by advanced machine learning techniques, particularly deep learning and neural networks, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). GPT, BERT) Image Generation (e.g., Adaptability and Continuous Learning 4. Creativity and Innovation 3.

AI Engineer 98

AI Engineer Generative AI Neural Network BERT 98

Unite.AI

JULY 1, 2024

These models, such as OpenAI's GPT-4 and Google's BERT , are not just impressive technologies; they drive innovation and shape the future of how humans and machines work together. Additionally, the dynamic nature of AI models poses another challenge, as these models continuously learn and evolve, leading to outputs that can change over time.

Explainability 179

Explainability BERT AI AI 179

Unite.AI

AUGUST 28, 2023

With advancements in deep learning, natural language processing (NLP), and AI, we are in a time period where AI agents could form a significant portion of the global workforce. Neural Networks & Deep Learning : Neural networks marked a turning point, mimicking human brain functions and evolving through experience.

Auto-complete 240

Auto-complete ChatGPT Large Language Models Neural Network 240

Viso.ai

MARCH 26, 2024

The introduction of the Transformer model was a significant leap forward for the concept of attention in deep learning. Types of Attention Mechanisms Attention mechanisms are a vital cog in modern deep learning and computer vision models. Vaswani et al. without conventional neural networks.

Deep Learning 52

Deep Learning Computer Vision Neural Network Natural Language Processing 52

John Snow Labs

JUNE 27, 2023

Moreover, LLMs continuously learn from customer interactions, allowing them to improve their responses and accuracy over time. In this section, we will provide an overview of two widely recognized LLMs, BERT and GPT, and introduce other notable models like T5, Pythia, Dolly, Bloom, Falcon, StarCoder, Orca, LLAMA, and Vicuna.

Large Language Models 52

Large Language Models BERT Natural Language Processing NLP 52

AWS Machine Learning Blog

OCTOBER 30, 2024

Sentence transformers are powerful deep learning models that convert sentences into high-quality, fixed-length embeddings, capturing their semantic meaning. M5 LLMS are BERT-based LLMs fine-tuned on internal Amazon product catalog data using product title, bullet points, description, and more. str.split("|").str[0]

BERT 87

BERT Categorization Data Scientist Machine Learning 87

Chatbots Life

AUGUST 23, 2024

With deep learning coming into the picture, Large Language Models are now able to produce correct and contextually relevant text even in the face of complex nuances. LLMs have overcome the constraints of conventional keyword-based matching by utilizing cutting-edge deep-learning algorithms and extensive text data for training.

Conversational AI 72

Conversational AI Chatbots Large Language Models LLM 72