Researchers from UC Berkeley Introduce Gorilla LLM

 And more implementations. 

Researchers from UC Berkeley Introduce Gorilla: A Finetuned LLaMA-based Model that Surpasses GPT-4 on Writing API Calls

By Tanya Malhotra

A recent breakthrough in the field of Artificial Intelligence is the introduction of Large Language Models (LLMs). These models enable us to understand language more concisely and, thus, make the best use of Natural Language Processing (NLP) and Natural Language Understanding (NLU). These models are performing well on every other task, including text summarization, question answering, content generation, language translation, and so on. They understand complex textual prompts, even texts with reasoning and logic, and identify patterns and relationships between that data.

Though language models have shown incredible performance and have developed significantly in recent times by demonstrating their competence in a variety of tasks, it still remains difficult for them to use tools through API calls in an efficient manner. Even famous LLMs like GPT-4 struggle to generate precise input arguments and frequently recommend inappropriate API calls. To address this issue, Berkeley and Microsoft Research researchers have proposed Gorilla, a finetuned LLaMA-based model that beats GPT-4 in terms of producing API calls. Gorilla helps in choosing the appropriate API, improving LLMs’ capacity to work with external tools to carry out particular activities.   .... '