John Snow Labs Sets New Standards in Healthcare AI with Record-Breaking Growth in 2023
John Snow Labs, a leading innovator in the field of artificial intelligence for healthcare, has marked 2023 as its most triumphant year to date. This milestone is highlighted by a staggering 82 million downloads of its Spark NLP library and a significant expansion in its NLP Lab offerings.
In the company’s news release, they state that this positions the company at the vanguard of generative AI technology. Their focus has been on advancing large language models tailored for healthcare, which has paid off as the company was able to report record revenue and community growth.
A pivotal shift in John Snow Labs’ product range has yielded several notable achievements this past year. The open-source Spark NLP library witnessed a 60% increase in monthly downloads following its 5.0 release.
This surge is largely due to enhanced support for ONNX models and significant improvements in text embedding calculation, essential for retrieval augmented generation LLM solutions. These enhancements have made Spark NLP’s embedding calculation notably faster and more efficient than existing solutions.
The NLP Lab platform, a no-code solution for AI model training and publishing, has seen a fivefold increase in usage. Its latest offerings include a range of generative AI features, such as GPT-based pre-annotation, synthetic data generation, and a private prompts hub for collaborative teams.
These features are streamlining the process of entity recognition and text classification, making it more accessible to a broader range of users. Then, there was the introduction of the Medical Chatbot.
This conversational interface provides access to a wealth of medical knowledge, updated daily. It’s designed to keep medical professionals abreast of the latest research, trials, and terminologies. Its unique feature of citing sources for all information ensures full explainability, fostering trust and reliability.
John Snow Labs is not only innovating but also leading the charge in responsible AI in healthcare. The development of the LangTest library, supporting over 100 types of benchmarks to evaluate LLMs, is a testament to this commitment. The company’s active involvement in The Coalition for Health AI (CHAI) further reinforces its dedication to fair and equitable AI solutions.
Because of their work, the company earned the prestigious 2024 Global 100 Award for the Best Medical Application of LLMs. Additionally, partnerships with industry giants like Databricks, Oracle, and AWS have enabled the development of comprehensive end-to-end solutions, exemplifying John Snow Labs’ role as a catalyst in healthcare AI.
CTO David Talby emphasizes the company’s mission: “We’re not just riding the generative AI wave; we’re shaping it to meet the specific needs of the healthcare industry. Our focus is on creating enterprise-grade systems that are not just technologically advanced but also responsible and scalable.”
Originally posted on OpenDataScience.com
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