Generative AI: Use cases, applications, solutions and implementation

Neural networks, referred to as artificial neural networks (ANNs), are computational models that mimic the structure and operations of the human brain.

Prompt engineering is the practice of designing and refining specific text prompts to guide transformer-based language models, such as Large Language Models (LLMs), in generating desired outputs.

IDP is an AI-powered document processing technique that not just scans and captures structured, unstructured and semi-structured data, but also understands it deeply.

Decision Transformers stand as a beacon of progress in the reinforcement learning landscape, poised to reshape how intelligent agents are trained and interact with their environments.

Generative AI is a technology used to generate new and original content. It leverages advanced algorithms and neural networks to autonomously produce outputs that mimic human creativity and decision-making.

Synthetic data refers to artificially generated data that replicates the statistical properties and characteristics of real data without containing any identifiable or sensitive information.

LangChain is a framework that provides a set of tools, components, and interfaces for developing LLM-powered applications.

Data annotation is adding labels or tags to a training dataset to provide context and meaning to the data.

Parameter-efficient Fine-tuning (PEFT) is a technique used in Natural Language Processing (NLP) to improve the performance of pre-trained language models on specific downstream tasks.

AI has been making significant advancements in the hospitality industry, reforming various aspects of guest experiences, operational efficiency, and overall management.

AI’s capacity to learn from vast datasets can significantly enhance the precision and efficiency of production cycles, diminishing the need for manual intervention in the manufacturing sector.

Language models are the backbone of natural language processing (NLP) and have changed how we interact with language and technology.