Unite.AI

APRIL 30, 2024

Recently, Artificial Intelligence (AI) chatbots and virtual assistants have become indispensable, transforming our interactions with digital platforms and services. Self-reflection is particularly vital for chatbots and virtual assistants. Incorporating self-reflection into chatbots and virtual assistants yields several benefits.

Chatbots 204

Chatbots Neural Network BERT OpenAI 204

Towards AI

JANUARY 29, 2025

Examples of Generative AI: Text Generation: Models like OpenAIs GPT-4 can generate human-like text for chatbots, content creation, and more. d) Continuous Learning and Innovation The field of Generative AI is constantly evolving, offering endless opportunities to learn and innovate. GPT, BERT) Image Generation (e.g.,

AI Engineer 98

AI Engineer Generative AI Neural Network BERT 98

Chatbots Life

AUGUST 23, 2024

Large Language Models have emerged as the central component of modern chatbots and conversational AI in the fast-paced world of technology. The use cases of LLM for chatbots and LLM for conversational AI can be seen across all industries like FinTech, eCommerce, healthcare, cybersecurity, and the list goes on.

Conversational AI 72

Conversational AI Chatbots Large Language Models LLM 72

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. These AI agents, transcending chatbots and voice assistants, are shaping a new paradigm for both industries and our daily lives.

Auto-complete 240

Auto-complete ChatGPT Large Language Models Neural Network 240

John Snow Labs

JUNE 27, 2023

Instead of navigating complex menus or waiting on hold, they can engage in a conversation with a chatbot powered by an LLM. Moreover, LLMs continuously learn from customer interactions, allowing them to improve their responses and accuracy over time.

Large Language Models 52

Large Language Models BERT Natural Language Processing NLP 52

Unite.AI

JUNE 20, 2024

Large Language Models (LLMs) are capable of understanding and generating human-like text, making them invaluable for a wide range of applications, such as chatbots, content generation, and language translation. These models learn to understand and generate human-like language by analyzing patterns and relationships within the training data.

Large Language Models 130

Large Language Models LLM Metadata BERT 130

Sebastian Ruder

DECEMBER 6, 2021

Reading Comprehension assumes a gold paragraph is provided Standard approaches for reading comprehension build on pre-trained models such as BERT. Using BERT for reading comprehension involves fine-tuning it to predict a) whether a question is answerable and b) whether each token is the start and end of an answer span.

BERT 52

BERT NLP Natural Language Processing Computational Linguistics 52