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.
AutoGPT: Overview, advantages, installation guide, and best practices
Auto-GPT is an autonomous tool that allows large language models (LLMs) to operate autonomously, enabling them to think, plan and execute actions without constant human intervention.
