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 use cases in hospitality: Enhancing workflows and operational efficiency
Hospitality is well-suited to AI because it operates at the intersection of guest experience, perishable inventory, distribution complexity, labor-intensive service, regulation, and round-the-clock operations.
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
How to build a private LLM?
Language models are the backbone of natural language processing (NLP) and have changed how we interact with language and technology.
