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Exploring the AI and data capabilities of watsonx

IBM Journey to AI blog

” Vitaly Tsivin, EVP Business Intelligence at AMC Networks. Streamline data engineering: Reduce data pipelines, simplify data transformation, and enrich data for consumption using SQL, Python, or an AI infused conversational interface.

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The 17 Most Popular AI Software Products for 2024

Viso.ai

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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Embodied AI Chess with Amazon Bedrock

AWS Machine Learning Blog

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.

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Unearth insights from audio transcripts generated by Amazon Transcribe using Amazon Bedrock

AWS Machine Learning Blog

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.