Tag

#zero-shot

Every item tagged zero-shot, newest first.

2 items

LAVE: Zero-shot VQA Evaluation on Docmatix with LLMs - Do We Still Need Fine-Tuning?

Researchers evaluated zero-shot performance of LLMs on Docmatix, a visual question answering benchmark. The study found that fine-tuning is not always necessary for strong performance. You can achieve competitive results with zero-shot LLMs, reducing the need for domain-specific training data.

Key takeaways

Zero-shot LLMs achieve competitive VQA performance on Docmatix.
Fine-tuning not always necessary for strong VQA results.
Domain-specific training data may not be required.

HHugging Face Blog#visual-qa #zero-shot #fine-tuning

toolsOct 3

Very Large Language Models and How to Evaluate Them

The Hugging Face Hub now supports zero-shot evaluation of very large language models. This feature allows you to evaluate models directly on the Hub without needing to download or run them locally. The Hub's evaluation capabilities provide a convenient way to assess model performance on various tasks.

Key takeaways

Zero-shot evaluation available on Hugging Face Hub.
Evaluate large language models directly on the Hub.
No local download or setup required.

HHugging Face Blog#hugging-face #zero-shot #evaluation