Unite.AI

JANUARY 11, 2024

They serve as a core building block in many natural language processing (NLP) applications today, including information retrieval, question answering, semantic search and more. vector embedding Recent advances in large language models (LLMs) like GPT-3 have shown impressive capabilities in few-shot learning and natural language generation.

Large Language Models 147

Large Language Models Prompt Engineer Prompt Engineering BERT 147

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. Deep learning techniques further enhanced this, enabling sophisticated image and speech recognition.

Auto-complete 240

Auto-complete ChatGPT Large Language Models AI 240

Becoming Human

MARCH 12, 2024

Automated document analysis AI tools designed for law firms use advanced technologies like NLP and machine learning to analyze extensive legal documents swiftly. By extracting information, identifying patterns, and categorizing content within minutes, these tools enhance efficiency for legal professionals.

Automation 105

Automation Artificial Intelligence Artificial Intelligence NLP 105

Viso.ai

MARCH 26, 2024

This enhances the interpretability of AI systems for applications in computer vision and natural language processing (NLP). The introduction of the Transformer model was a significant leap forward for the concept of attention in deep learning. This is especially beneficial in NLP tasks like image captioning and video understanding.

Deep Learning 52

Deep Learning Computer Vision Neural Network Natural Language Processing 52