What You Should Know:
– John Snow Labs, a leader in AI for healthcare, has announced a significant breakthrough in medical Large Language Model (LLM) accuracy. Their models have achieved state-of-the-art (SOTA) performance on industry benchmarks, surpassing hundreds of competing models.
– John Snow Labs’ Healthcare NLP & LLM subscription provides access to their state-of-the-art models, along with ongoing updates and new releases. This ensures customers stay ahead of the curve.
New Benchmarks for Medical AI
This accomplishment signifies John Snow Labs’ dedication to delivering the most accurate medical LLMs available. Here are three key milestones:
- Overall Accuracy: Their LLM achieved an impressive 87.35 score on the Open Medical LLM leaderboard’s standardized test harness. This surpasses well-known models like Med-PaLM2, GPT-4, and OpenBioLLMLlama.
- Efficiency Powerhouse: A 7-billion parameter model outperformed all previous models of similar size, including GPT-4, on the PubMedQA benchmark (78.4 vs. 75.2). This dataset focuses on reasoning through biomedical research texts, with a single human achieving a near-identical 78% accuracy.
- Mobile-Friendly Accuracy: A 3-billion parameter model outperformed all competitors in its size category by over 12 points. This lightweight model can run on mobile devices, making it ideal for medical professionals who need to process large volumes of patient data without significant computing resources. This accuracy rivals 8-billion parameter models like BioMistral, showcasing John Snow Labs’ efficiency.
Addressing Roadblocks to GenAI Adoption
Recent research highlighted a lack of accuracy as a major barrier to adopting Generative AI in healthcare. John Snow Labs addresses this concern by prioritizing top accuracy with models specifically designed for healthcare use cases.
Beyond Accuracy: Continuous Innovation
John Snow Labs understands that accuracy is just one piece of the puzzle. To be truly valuable, production-ready models must be:
- Efficient and Scalable: To handle large datasets and real-world applications.
- Compliant: Upholding data privacy and security regulations.
- Continuously Updated: Ensuring models remain current with advancements in medical knowledge and technology.
“It’s a great responsibility and honor to provide novel, state-of-the-art, production-ready models to the global healthcare AI community,” said David Talby, CTO, John Snow Labs. “We didn’t give these new models fancy names because we’ll have better ones next week. That’s been the essence of our work for the past seven years, and it’s what makes John Snow Labs the most comprehensive medical language understanding solution on the market.”
