Alida, a firm that helps brands build engaged research communities to gather consumer feedback, has utilized machine learning to handle large volumes of responses from consumers. However, they discovered that traditional natural language processing models had difficulty understanding nuanced feedback found in open-ended survey responses.
This obstacle led them to leverage Anthropic's Claude Instant model on…
This article talks about how to use the Amazon SageMaker to effectively fine-tune a state-of-the-art protein language model (pLM) to predict protein subcellular localization. Proteins play a critical role in human body function and drug development, often serving as potential targets and therapeutics. They can be effectively analyzed using larger language models (LLMs) to predict…