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 in manufacturing: Use cases, solution, implementation and applications of AI agents
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.
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.
