John Snow Labs

In this talk, Malte introduces Haystack 2.0 and shows how an orchestration framework can truly help you build production-ready AI systems. He explains key concepts and shares learnings from working with thousands of open-source users over the last 4 years. He also discusses on compound #AI systems, the need for customizability, simple abstractions – and agentic #RAG. He wraps up with an outlook into the future and what this means to developers. This session was presented by Malte Pietsch, Co-Founder at deepset at #NLPSummit 2024. Watch a full video now: https://lnkd.in/d4a89dJz ?#largelanguagemodels?#LLMs?#HealthcareLLMs?#responsibleai #GenerativeAI?#HealthcareAI #MedicalLLMs #MachineLearning #IoT #ResponsibleAI #artificialintelligence #digitaltransformation #NLP?#nlu #ResponsibleAI #AIRegulation #GenerativeAI

#AI changed dramatically over the past few years, leading to far greater complexity in AI infrastructure. As challenging as the current state of affairs is, AI continues to evolve and AI infrastructure challenges continue to grow. This talk highlights some of the most important trends in AI infrastructure and the challenges that are emerging around the corner, ranging from the continued importance of scaling laws, the rise of data-intensive AI, and the growth in inference-time compute and complexity. This talk was presented by Jacqueline Garrahan, Senior Machine Learning Engineer at Aiera at #NLPSummit 2024. Watch an entire video now: https://lnkd.in/duv9j9cm #largelanguagemodels?#LLMs?#HealthcareLLMs?#responsibleai #GenerativeAI?#HealthcareAI #MedicalLLMs #MachineLearning #IoT #ResponsibleAI #artificialintelligence #digitaltransformation #NLP?#nlu #ResponsibleAI #AIRegulation #GenerativeAI

John Snow Labs Medical LLM – Medium now available on AWS SageMaker! John Snow Labs released Medical LLM – Medium, an #LLM tailored for the #Healthcare industry and designed to streamline the way medical professionals’ access and interpret complex information. It is a game-changer for physicians, researchers, and #healthcare providers. Trained on a wide range of medical texts and optimized for Retrieval-Augmented Generation (RAG) the model can digest biomedical information from unstructured text such as patient records, or scientific literature repositories like PubMed, and provide informative summaries or answer biomedical questions while ensuring that the responses are not only accurate but also richly informative. Key Features of the Medical LLM - Medium Include: ? Medical Summarization - transforms detailed clinical notes, patient encounters, and various medical reports into concise, easy-to-digest summaries. It preserves critical details necessary for optimal patient care, significantly boosting efficiency for healthcare professionals. ? Biomedical Question Answering: supports both open-book and close-book question answering while ensuring accurate responses tuned for the healthcare domain. With seamless deployment and easy API integration through AWS SageMaker, organizations can quickly incorporate the Medical LLM - Medium into their workflows, ensuring rapid access to its advanced capabilities. Subscribe and configure: https://hubs.li/Q02ZKhGy0 in few clicks, then follow the instructions to create and use the real-time inference and batch transform endpoints

We’re proud to announce that John Snow Labs has been awarded the CarbonNeutral? company certification for 2024! ?? This achievement is the result of our ongoing commitment to minimizing our environmental impact and embedding sustainability as a core pillar of #ResponsibleAI. Read more: https://hubs.li/Q02ZG-Zr0 #EthicalAI #AI4Sustainability #AI #CarbonNeutral #HealthcareAI #ClimateAction #EnvironmentalImpact #AIforGood

Our #Medical #LLMs are now Available in #AmazonSageMaker JumpStart! We’re thrilled to announce that John Snow Labs' Medical LLM – Small and Medical LLM – Medium are now accessible on Amazon SageMaker JumpStart! These cutting-edge medical language models are specifically designed to support healthcare professionals with tasks like: ? Summarizing clinical documents (discharge notes, radiology reports, etc.) ? Answering questions about patient cases or biomedical research ?? Why It Matters: For medical practitioners, these models deliver critical insights from extensive documentation, enabling faster, more informed decision-making while ensuring no detail is missed. ?? Performance Highlights: In blind evaluations by medical experts, Medical LLM – Small consistently outperformed GPT-4o: ? +88% preference for factuality in medical summaries ? +300% relevance in biomedical research Q&A ? Runs efficiently on commodity hardware, making it both powerful and accessible ?? SageMaker Integration: With Amazon SageMaker JumpStart, deploying and using these models is simple. They support up to 32,000 tokens (≈50 pages of text) and can be set up in just a few clicks or programmatically using the SageMaker Python SDK. ?? Ready to transform medical documentation into actionable insights? ?? Read the blog post to learn how to deploy John Snow Labs’ Medical LLMs on SageMaker JumpStart and see the models in action! https://hubs.li/Q02ZqrnK0

De-identifying medical records is crucial for ensuring privacy, compliance, and enhancing research while minimizing data breaches. #DICOM, the standard for medical imaging (CT, MRI, ultrasound), presents unique #anonymization challenges. This session presented a scalable, high-accuracy solution for processing and de-identifying DICOM files using John Snow Labs' #VisualNLP, with live demos and infrastructure insights for scaling pipelines. Have you missed it? Now you can watch it on-demand! https://hubs.li/Q02ZqrnF0 #LargeLanguageModels #MedicalAIApplications #AIinHealthcare #LLMs #HealthcareLLMs #GenerativeAI #HealthcareAI #MedicalLLMs #nlp

Discover how LLM-based healthcare chatbots are improving efficiency, reducing costs, and enhancing patient engagement—all while empowering healthcare professionals with real-time information. ?? Check it out now: https://hubs.li/Q02Zg9Rk0 #AIinHealthcare #DataScience #HealthcareAI #MedicalChatbot #PersonalizedMedicine #TextAnalytics #DataEngineering

Unlock new insights in #biomedicalresearch, clinical trial protocols, patents, grants, and regulatory filings with cutting-edge #BiomedicalNLP. Gain deeper understanding, improve decision-making, and drive innovation in #healthcare and #lifesciences. ?? Discover how state-of-the-art medical language models can transform complex data into actionable insights: https://hubs.li/Q02Zgd3N0 #GenerativeAI #HealthcareAI #MedicalLLMs #nlp #naturallanguageprocessing?#DataScience #DataEngineering #DataAnalysis #DataInsights #TextProcessing?#DeepLearning

Discover how John Snow Labs' advanced #LLMs like JSL-MedS-NER are transforming clinical data processing. From drug recognition to oncology reporting, these models streamline extraction of critical medical information—enhancing patient care, research, and compliance. Explore the full blog to learn how these models optimize accuracy, speed, and PHI de-identification. Perfect for healthcare providers and researchers aiming for more efficient, precise data handling. Read more: https://hubs.li/Q02ZgfHH0 #AIinHealthcare #NLP #ClinicalData #MedTech #HealthcareInnovation #Pharmacovigilance #Oncology #DataPrivacy #LLMs

This session shows how you use the open-source #Weaviate vector database to perform real-time billion-scale vector searches. This includes covering different quantization techniques, including product, binary, scalar, and matryoshka quantization that can be used to compress vectors trading off memory requirements for accuracy. Zain also introduces the concept of adaptive retrieval where you first perform a cheap hardware-optimized low-accuracy search to identify retrieval candidates using compressed vectors followed by a slower, higher-accuracy search to rescore and correct. These quantization techniques when used with well-thought-out adaptive retrieval can lead to a 32x reduction in memory cost requirements at the cost of ~ 5% loss in retrieval recall in your RAG stack. This session was presented by Zain Hasan, Senior Developer Advocate at Weaviate at #NLPSummit 2024. Watch an entire video: https://lnkd.in/dxSpmHvs #largelanguagemodels?#LLMs?#HealthcareLLMs?#responsibleai #GenerativeAI?#HealthcareAI #MedicalLLMs #MachineLearning #IoT #ResponsibleAI #artificialintelligence #digitaltransformation #NLP?#nlu #ResponsibleAI #AIRegulation #GenerativeAI