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ASIC referencesArs Technica
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89% Informative
Australia 's Securities and Investments Commission evaluated large language models' ability to quickly summarize lengthy documents for easier human consumption.
The Llama2-70B model was judged as significantly worse than those provided by humans.
The study has a number of limitations that make it hard to generalize about the summarizing capabilities of state-of-the-art models in the present day .
Larger models with bigger context windows and better embedding strategies may have more success, the authors write, because "finding references in larger documents is a notoriously hard task for LLMs." Despite the results, ASIC says it still believes "there are opportunities for Gen AI as the technology continues to advance... Technology is advancing in this area and it is likely that future models will improve performance and accuracy of results.".
VR Score
95
Informative language
99
Neutral language
35
Article tone
formal
Language
English
Language complexity
70
Offensive language
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Hate speech
not hateful
Attention-grabbing headline
not detected
Known propaganda techniques
not detected
Time-value
long-living
External references
3
Source diversity
3
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