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