FACTS is a great paper from 
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FACTS is a great paper from 
@GoogleDeepMind
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GoogleDeepMind
 on measuring the factuality of LLM outputs. You can now download their prompt templates from 
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 on measuring the factuality of LLM outputs. You can now download their prompt templates from 
@huggingface
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huggingface
 to improve LLM-based fact-checking yourself!
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 to improve LLM-based fact-checking yourself!
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📏 The paper introduces the FACTS Grounding benchmark for evaluating the factuality of LLM outputs.
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📏 The paper introduces the FACTS Grounding benchmark for evaluating the factuality of LLM outputs.
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🤖 Fact-checking is automated by an ensemble of LLM judges that verify if a response is fully grounded in a factual reference document.
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🤖 Fact-checking is automated by an ensemble of LLM judges that verify if a response is fully grounded in a factual reference document.
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🧪 The authors tested different prompt templates on held-out data to ensure their generalization.
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🧪 The authors tested different prompt templates on held-out data to ensure their generalization.
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📚 It's highly educational to read these templates to learn how frontier labs design prompts and understand their limitations.
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📚 It's highly educational to read these templates to learn how frontier labs design prompts and understand their limitations.
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💾 You can now download and reuse these prompt templates via the prompt-templates library!
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💾 You can now download and reuse these prompt templates via the prompt-templates library!
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🔄 The library simplifies sharing prompt templates on the HF hub or locally via standardized YAML files. Let’s make LLM work more transparent and reproducible by sharing more templates like this!
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🔄 The library simplifies sharing prompt templates on the HF hub or locally via standardized YAML files. Let’s make LLM work more transparent and reproducible by sharing more templates like this!
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Links 👇
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Links 👇
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- prompt-templates docs: 
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- prompt-templates docs: 
https://moritzlaurer.github.io/prompt_templates/
https://moritzlaurer.github.io/prompt_templates/
link
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- all templates on the HF Hub: 
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- all templates on the HF Hub: 
https://huggingface.co/datasets/MoritzLaurer/facts-grounding-prompts
MoritzLaurer/facts-grounding-prompts
dataset
resource
https://huggingface.co/datasets/MoritzLaurer/facts-grounding-prompts
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- FACTS paper: 
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- FACTS paper: 
https://storage.googleapis.com/deepmind-media/FACTS/FACTS_grounding_paper.pdf
https://storage.googleapis.com/deepmind-media/FACTS/FACTS_grounding_paper.pdf
link
FACTS is a great paper from @GoogleDeepMind on measuring the factuality of LLM outputs. You can now download their prompt templates from @huggingface to improve LLM-based fact-checking yourself!

📏 The paper introduces the FACTS Grounding benchmark for evaluating the factuality of LLM outputs.

🤖 Fact-checking is automated by an ensemble of LLM judges that verify if a response is fully grounded in a factual reference document.

🧪 The authors tested different prompt templates on held-out data to ensure their generalization.

📚 It's highly educational to read these templates to learn how frontier labs design prompts and understand their limitations.

💾 You can now download and reuse these prompt templates via the prompt-templates library!

🔄 The library simplifies sharing prompt templates on the HF hub or locally via standardized YAML files. Let’s make LLM work more transparent and reproducible by sharing more templates like this!

Links 👇
- prompt-templates docs: https://moritzlaurer.github.io/prompt_templates/
- all templates on the HF Hub: https://huggingface.co/datasets/MoritzLaurer/facts-grounding-prompts
- FACTS paper: https://storage.googleapis.com/deepmind-media/FACTS/FACTS_grounding_paper.pdf
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