API Generating Language Model: Difference between revisions
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Latest revision as of 21:53, 18 December 2023
A API Generating Language Model is a software-generating language model specialized for generating API calls from natural language instructions.
- Context:
- It can be trained on API documentation and associated natural language descriptions.
- It takes a specification and outputs an API call with the right components filled in.
- It focuses on producing valid API calls over full programs.
- It is evaluated using AST matching against reference APIs.
- It is optimized for invoking APIs as tools.
- …
- Example(s):
- Gorilla LLM ().
- Anthropic's Claude can produce API calls for a variety of provided APIs.
- Toolformer LLM.
- …
- Counter-Example(s):
- A Chatbot LLM is not optimized for API generation.
- An LLM for Mathematical Reasoning focuses on math not coding.
- …
- See: API Call, LLM for Programming, Code Generation.