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Generative AI (454 results) showing 1 - 10


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MongoDB developer data platform, available in 31 AWS regions, integrates all of the data services you need, including full vector database capabilities, to build modern, gen AI-powered applications that are accurate, secure, and scalable. Integrate transactional workloads, vectorized data,...


Llama is a family of large language models that uses publicly available data for training. These models are based on the transformer architecture, which allows it to process input sequences of arbitrary length and generate output sequences of variable length. One of the key features of Llama models...


Llama is a family of large language models that uses publicly available data for training. These models are based on the transformer architecture, which allows it to process input sequences of arbitrary length and generate output sequences of variable length. One of the key features of Llama models...

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Snowflake enables every organization to mobilize their data with the Data Cloud. Customers use the Data Cloud to unite siloed data, discover and securely share data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single data experience that spans multiple...


Command R+ is a highly performant generative large language model, optimized for a variety of use cases including reasoning, summarization, and question answering. Command R+ has the capability for multilingual generation evaluated in 10 languages and highly performant RAG capabilities.

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Starting from $11.88 to $570.24/hr for software + AWS usage fees

John Snow Labs - Healthcare NLP Libraries are designed to help organizations extract insights from unstructured documents and enable faster, more accurate data analysis. Healthcare NLP is a cutting-edge natural language processing solution designed specifically for the healthcare domain, leveraging...

Linux/Unix, Ubuntu 22.04 - 64-bit Amazon Machine Image (AMI)


Command R is a highly performant generative large language model, optimized for a variety of use cases including reasoning, summarization, and question answering. Command R has the capability for multilingual generation evaluated in 10 languages and highly performant RAG capabilities.