ODSC - Open Data Science

FEBRUARY 28, 2023

Improving Operations and Infrastructure Taipy The inspiration for this open-source software for Python developers was the frustration felt by those who were trying, and struggling, to bring AI algorithms to end-users. Blueprint’s tools and services allow organizations to quickly obtain decision-guiding insights from your data.

Data Science 96

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AWS Machine Learning Blog

JUNE 7, 2023

You can deploy and use the Falcon LLMs with a few clicks in SageMaker Studio or programmatically through the SageMaker Python SDK. Our Falcon LLM illustrates the technology leadership of the UAE, and paves the way for AI-powered innovation in the region.

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AWS Machine Learning Blog

MAY 1, 2024

This image is also compatible with Python 3.10, indicated by the py310, and is based on Ubuntu 20.04. The entry_point is specified as the Python script run_llama_nxd.py. This image is configured to work with PyTorch, using Neuron SDK version 2.18.0 Feel free to leave comments or questions in the comments section.

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Viso.ai

NOVEMBER 19, 2023

The name “Jupyter” is a reference to the three core programming languages supported by Jupyter: Julia, Python, and R. Hence, Jupyter Notebooks are popularly used for AI applications, data exploration, prototyping algorithms, vision pipelines, and developing machine learning models across the enterprise. TensorFlow 2.0

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Computer Vision Machine Learning Natural Language Processing Deep Learning 97

AWS Machine Learning Blog

MARCH 28, 2024

LangChain is an open source Python library designed to build applications with LLMs. It provides a modular and flexible framework for combining LLMs with other components, such as knowledge bases, retrieval systems, and other AI tools, to create powerful and customizable applications. license, for use without restrictions.

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AWS Machine Learning Blog

JANUARY 29, 2025

You can customize the retry behavior using the AWS SDK for Python (Boto3) Config object. This flexibility, combined with the Amazon Bedrock unified API and enterprise-grade infrastructure, allows organizations to build resilient AI strategies that can adapt as their requirements evolve.

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AWS Machine Learning Blog

JANUARY 29, 2025

You can customize the retry behavior using the AWS SDK for Python (Boto3) Config object. This flexibility, combined with the Amazon Bedrock unified API and enterprise-grade infrastructure, allows organizations to build resilient AI strategies that can adapt as their requirements evolve.

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Flipboard

DECEMBER 3, 2024

Agent architecture The following diagram illustrates the serverless agent architecture with standard authorization and real-time interaction, and an LLM agent layer using Amazon Bedrock Agents for multi-knowledge base and backend orchestration using API or Python executors. Domain-scoped agents enable code reuse across multiple agents.

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Marktechpost

MARCH 22, 2024

Despite all the hype around AI and Data, many organizations (outside of the software industry) struggle to implement a successful AI strategy. It is not uncommon for data scientists to develop mainly in Python, while IT developers use JavaScript, Java, Scala, etc. Python is the ideal candidate for this.

Data Scientist 131

Data Scientist Python Algorithm AI 131

AWS Machine Learning Blog

AUGUST 30, 2024

Install the AWS Command Line Interface (AWS CLI) and have the Amazon SDK for Python (Boto3) set up. Specialist Solutions Architect focused on generative AI strategy, applied AI solutions, and conducting research to help customers hyperscale on AWS. About the Authors Marco Punio is a Sr.

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AWS Machine Learning Blog

NOVEMBER 27, 2024

Test the fine-tuned model to play chess To test the fine-tuned model that is imported into Amazon Bedrock, we use the AWS SDK for Python (Boto3) library to invoke the imported model. The Stockfish Python library requires the appropriate version of the executable to be downloaded from the Stockfish website. license terms. license terms.

Robotics 125

Robotics AI AI Generative AI 125

AWS Machine Learning Blog

NOVEMBER 6, 2024

Generative AI is reshaping the way we analyze audio transcripts, enabling you to unlock insights such as customer sentiment, pain points, common themes, avenues for risk mitigation, and more, that were previously obfuscated. The code artifacts are in Python. Use case overview In this post, we discuss three example use cases in detail.

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