What is synthetic data and how to create it?
Synthetic data refers to artificially generated data that replicates the statistical properties and characteristics of real data without containing any identifiable or sensitive information.
Build an LLM-powered application using LangChain: A comprehensive step-by-step guide
LangChain is a framework that provides a set of tools, components, and interfaces for developing LLM-powered applications.
Data Annotation: Types, tools, techniques, and use cases
Data annotation is adding labels or tags to a training dataset to provide context and meaning to the data.
Parameter-efficient Fine-tuning (PEFT): Overview, benefits, techniques and model training
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 in hospitality: Use cases, applications, solution and implementation
AI has been making significant advancements in the hospitality industry, reforming various aspects of guest experiences, operational efficiency, and overall management.
AI use cases in manufacturing: Enhancing workflows and operational efficiency
Manufacturing is one of the most complex industries for AI because manufacturing work sits at the intersection of data, documents, regulations, human expertise, operational execution, and supply chain coordination
