Yi

TECHNICAL DEFINITION

Yi is a family of large language models developed by 01.AI, featuring a transformer architecture and trained on a massive multilingual corpus, demonstrating competitive performance across various benchmarks and offering open-source access for research and commercial applications.

BACKGROUND

Prompt engineering is the process of structuring natural language inputs to produce specified outputs from a generative artificial intelligence (GenAI) model. Context engineering is the related area of software engineering that focuses on the management of non-prompt contexts supplied to the GenAI model, such as metadata, API tools, and tokens.

SYNONYMS & ALIASES

• 01.AI Yi
• Yi-34B
• Yi-6B

USAGE NOTE

Yi models are gaining traction in the open-source community for their robust capabilities and multilingual support.

DEVELOPERS

Organizations developing technology related to Yi.

• 01.AI

  Develops the Yi series of large language models, foundational for various AI engineering and prompt design applications.

• Microsoft Azure

  Offers the Yi series of large language models through its Azure AI Studio, facilitating their adoption and deployment in enterprise AI engineering and prompt design projects.

• Hugging Face

  Provides a widely used platform and tools (e.g., Transformers library) for accessing, fine-tuning, and deploying Yi models, crucial for AI engineering and prompt design workflows.

• Together AI

  Offers a cloud platform for running, fine-tuning, and deploying open-source large language models, including the Yi series, for AI engineering and prompt design applications.

• Anyscale

  Provides the Ray platform for distributed AI, enabling scalable development, fine-tuning, and deployment of large language models such as the Yi series in AI engineering contexts.

• RunPod

  Offers GPU cloud services and serverless infrastructure, allowing developers and engineers to efficiently deploy and experiment with large language models like the Yi series.