14 Uses for Knowledge Graphs in Life Sciences
Knowledge graphs are powerful tools for representing and integrating information from diverse sources, and can be used to support a wide range of applications in life sciences. Using natural language…
Knowledge graphs are powerful tools for representing and integrating information from diverse sources, and can be used to support a wide range of applications in life sciences. Using natural language…
Boston, MA – May 22, 2023 – Jaxon AI, a leading provider of artificial intelligence (AI) solutions, today announced that it has been accepted into the Tradewind Solutions Marketplace. The…
Combining LLMs (like ChatGPT and GPT-4) with knowledge graphs can significantly enhance the accuracy of intent classification and propensity ML models. Organizations seeking an edge in customer experiences can employ these cutting-edge technologies better understand their customers' needs and preferences.
LLMs are already being used to generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. But what's next for LLMs? And…
Large language models (LLMs) dominate the field of natural language processing and have been applied to machine translation, language modeling, question answering, and more.
Jaxon AI is an AI platform that helps businesses improve their visibility, agility, and resilience. The platform uses artificial intelligence to collect and analyze data from across the supply chain,…
Foundation models in artificial intelligence are large-scale, pre-trained models that serve as a base for building more specific, fine-tuned models. They are often created using deep learning techniques, such as…
Data is a valuable asset that needs to be protected. It shouldn’t be sent to large language models. So what's the alternative?
Generative AI has emerged as a promising approach to improve the performance of machine learning models. With the ability to generate new data, generative AI can create synthetic data, provide pseudo-labels for the unlabeled data, denoise the original data, and assist in active learning.
Jaxon created a custom AI model to characterize the seafloor habitats of the U.S. Caribbean and accelerated the annotation process from minutes to milliseconds per image. Jaxon incorporated domain knowledge at every step, producing a highly-accurate automation environment and saving the NOAA team months of manual effort.