Technical Papers
Explore our collection of technical papers that delve into the intricacies of ensuring AI performance, alignment, and safety. Gain insights into the cutting-edge methodologies and technologies Trustwise employs to pioneer responsible AI across industries.
Optimizing RAGs: The SHARP Method for Improved Safety…
How SHARP Unlocks Value for Enterprises Deploying Generative AI
Matthew Barker, Avi Saxena, Umang Bhatt
Survey of Hallucination in Natural Language Generation
Natural Language Generation (NLG) has improved exponentially in recent years…
Ziwei Ji, Nayeon Lee, Rita Frieske, et al.
Seven Failure Points when Engineering RAG
Seven Failure Points When Engineering a Retrieval Augmented Generation System
Scott Barnett, Stefanus Kurniawan, Srikanth
From Words to Watts
Benchmarking the Energy Costs of Large Language Model Inference
Siddharth Samsi, Dan Zhao, Joseph McDon
Fine-tuning Language Models for Factuality
Recent developments in training large language models (LLMs)…
Katherine Tian, Eric Mitchell, Huaxiu Yao, Chr
Comprehensive Survey of Hallucination Mitigation…
A Comprehensive Survey of Hallucination Mitigation Techniques in LLMs
S.M Towhidul Islam Tonmoy, S M Mehedi Za
Auditing Large Language Models: A Three-Layered Approach
Large language models (LLMs) represent a major advance in artificial intelligence (AI) research.
Jakob Mökander, Jonas Schuett, Hannah
A Survey on Evaluation of Large Language Models
Recent developments in training large language models (LLMs)…
Yupeng Chang, Xu Wang, Jindong Wang, et al.
SCAIS Framework Paper
Artificial intelligence systems (AI systems) are complex socio-technical-ecological systems…
S.M Towhidul Islam Tonmoy, S M Mehedi Za
Power Hungry Processing: Watts Driving the Cost of AI Deployment?
Understanding the environmental impacts of different industries is an important first step towards developing …
Alexandra Sasha Luccioni, Yacine Jernite, Emma Strubell