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AI courses to boost your skills and stay ahead

AI News

Artificial Intelligence: Preparing Your Career for AI Artificial Intelligence: Preparing Your Career for AI is an option for those wanting to future-proof their careers in an AI-centric workplace. The course outlines five essential steps for preparing for AI’s impact on job roles and skill requirements.

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AI Bias & Cultural Stereotypes: Effects, Limitations, & Mitigation

Unite.AI

Feedback Loops: With a constant feedback and learning loop , AI models can gradually improve their outcomes Increased Regulations: Global AI regulations are crucial for maintaining the quality of AI systems across borders. Hence, international organizations must work together to ensure AI standardization.

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Meta SAM 2.1 is now available in Amazon SageMaker JumpStart

AWS Machine Learning Blog

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

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Mixtral 8x22B is now available in Amazon SageMaker JumpStart

AWS Machine Learning Blog

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.

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Exploring the AI and data capabilities of watsonx

IBM Journey to AI blog

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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AI Strategist: Driving Business Transformation Through Artificial Intelligence

Pickl AI

Deep Knowledge of AI and Machine Learning : A solid understanding of AI principles, Machine Learning algorithms, and their applications is fundamental. This includes familiarity with programming languages such as Python, R, and relevant frameworks like TensorFlow and PyTorch.

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Build a RAG-based QnA application using Llama3 models from SageMaker JumpStart

AWS Machine Learning Blog

LangChain is a 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. Python 3.10 medium as the instance type.

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