Tiger

What it is

Tiger is an open-source toolkit that includes modules like TigerArmor for AI safety, TigerRAG for embedding and RAG capabilities, and TigerTune for fine-tuning. It helps developers build reliable and safe large language model (LLM) applications.

Tiger stands out as an open-source toolkit that integrates AI safety, embedding, and fine-tuning functionalities in one package, making it ideal for developers who prioritize trustworthiness and reliability in their LLM applications.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Limited documentation and examples for advanced use cases

   Core modules like TigerArmor have sparse documentation, leading to trial-and-error usage

2. 02

   Performance bottlenecks with large datasets in TigerTune module

   Fine-tuning on datasets larger than 10GB can lead to out-of-memory errors without significant resource allocation

What it does well

• TigerArmor for AI safety measures

• TigerRAG for embedding and RAG capabilities

• TigerTune for fine-tuning LLMs

Pricing

Free tier

YesOpen source — free to use

Paid from

$0

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.