Remove content tag clinical-data
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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

Knowledge Bases for Amazon Bedrock automates synchronization of your data with your vector store, including diffing the data when it’s updated, document loading, and chunking, as well as semantic embedding. RAG is a popular technique that combines the use of private data with large language models (LLMs). Choose Next.

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Improving Neural Networks with Neuroscience

Mlearning.ai

Data Scientists spend a lot of time and resources in improving the architecture of their AI Models. He later underwent clinical retraining and became a Board Certified clinical neuropsychologist. He is a full-stack software engineer, a data scientist, and a practitioner for patients with brain insults. Lambos , M.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. Images can often be searched using supplemented metadata such as keywords.

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NLP Summit Insights: How LLMs Are Shaping the Future of Modern Business

John Snow Labs

According to the data collected by Forbes , over a half (53.3% to be precise) of data scientists and engineers plan to deploy Large Language Model (LLM) applications into production in the next 12 months or “as soon as possible.” Additionally, the data indicates that 8.3%

NLP 52
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Must-Have Prompt Engineering Skills for 2024

ODSC - Open Data Science

They design intricate sequences of prompts, leveraging their knowledge of AI, machine learning, and data science to guide powerful LLMs (Large Language Models) towards complex tasks. Data science methodologies and skills can be leveraged to design these experiments, analyze results, and iteratively improve prompt strategies.

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Evaluation of generative AI techniques for clinical report summarization

AWS Machine Learning Blog

In this part of the blog series, we review techniques of prompt engineering and Retrieval Augmented Generation (RAG) that can be employed to accomplish the task of clinical report summarization by using Amazon Bedrock. This model is used for the clinical summarization tasks where we evaluate the few-shot and zero-shot prompting techniques.