Remove content tag clinical-research
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30 Unique Gemini AI Prompts For SEO Content

Ofemwire

As a content writer, it’s tough to keep coming up with fresh and interesting content. Content writers are always searching for new ways to make their content better and reach more people. That’s where Gemini AI Prompts For SEO Content come in.

AI 111
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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning Blog

In the following sections, we demonstrate how to build a RAG workflow using Knowledge Bases for Amazon Bedrock, backed by the OpenSearch Serverless vector engine, to analyze an unstructured clinical trial dataset for a drug discovery use case. This data is information rich but can be vastly heterogenous. strip() for item in response.strip().split("nn")[1:-1]

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Improving Neural Networks with Neuroscience

Mlearning.ai

As such, there is a lot of research into figuring out different architectures and how different design decisions impact the performance of models. I firmly believe the ideas discussed in this series might become the next frontier of Machine Learning and Neural Network research. Lambos , M.S., Goldberg, et al.’s

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Automate caption creation and search for images at enterprise scale using generative AI and Amazon Kendra

AWS Machine Learning Blog

Amazon Kendra reimagines search for your websites and applications so your employees and customers can easily find the content they are looking for, even when it’s scattered across multiple locations and content repositories within your organization. Amazon Kendra is an intelligent search service powered by machine learning (ML).

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Must-Have Prompt Engineering Skills for 2024

ODSC - Open Data Science

Fine-tuning involves modifying pre-trained models for specific tasks that are custom to a particular project’s needs, such as summarizing clinical trial data. Unlike closed models such as GPT-4 and Anthropic’s Claude, the LLaMA series of models are open source and available to researchers and developers.

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Clinical Document Analysis with One-Liner Pretrained Pipelines in Healthcare NLP

John Snow Labs

This library provides over 2,200 pre-trained models and pipelines tailored for medical data, enabling accurate information extraction, NER for clinical and medical concepts, and text analysis capabilities. document_assembler = DocumentAssembler().setInputCol("text").setOutputCol("document") setInputCol("text").setOutputCol("document")

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AI-Fueled Productivity: Generative AI Opens New Era of Efficiency Across Industries

NVIDIA

This set off demand for generative AI applications that help businesses become more efficient, from providing consumers with answers to their questions to accelerating the work of researchers as they seek scientific breakthroughs, and much, much more. Generative AI can also reduce the need for manual research and analysis. In the U.S.,