AI Strategy Generative AI Python 
AI News
NOVEMBER 13, 2024
Participants learn the basics of AI, strategies for aligning their career paths with AI advancements, and how to use AI responsibly. The course is ideal for individuals at any career stage who wish to understand AI’s impact on the job market and adapt proactively.
Unite.AI
OCTOBER 4, 2023
Artificial Intelligence (AI), particularly Generative AI , continues to exceed expectations with its ability to understand and mimic human cognition and intelligence. However, in many cases, the outcomes or predictions of AI systems can reflect various types of AI bias, such as cultural and racial.
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IBM Journey to AI blog
JULY 17, 2023
is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. With watsonx.ai, businesses can effectively train, validate, tune and deploy AI models with confidence and at scale across their enterprise.
AWS Machine Learning Blog
FEBRUARY 11, 2025
in SageMaker JumpStart SageMaker JumpStart provides FMs through two primary interfaces: SageMaker Studio and the SageMaker Python SDK. Alternatively, you can use the SageMaker Python SDK to programmatically access and use SageMaker JumpStart models. You can deploy any of the selected models on SageMaker AI. Deploy Meta SAM 2.1
AWS Machine Learning Blog
SEPTEMBER 12, 2024
Organizations generate vast amounts of data that is proprietary to them, and it’s critical to get insights out of the data for better business outcomes. Generative AI and foundation models (FMs) play an important role in creating applications using an organization’s data that improve customer experiences and employee productivity.
AWS Machine Learning Blog
MAY 17, 2024
You can now discover and deploy Mixtral-8x22B with a few clicks in Amazon SageMaker Studio or programmatically through the SageMaker Python SDK, enabling you to derive model performance and MLOps controls with SageMaker features such as Amazon SageMaker Pipelines , Amazon SageMaker Debugger , or container logs. Preston Tuggle is a Sr.
AWS Machine Learning Blog
MAY 1, 2024
For more information on Trainium Accelerator chips, refer to Achieve high performance with lowest cost for generative AI inference using AWS Inferentia2 and AWS Trainium on Amazon SageMaker. This image is also compatible with Python 3.10, indicated by the py310, and is based on Ubuntu 20.04.
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