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MLOps and the evolution of data science

IBM Journey to AI blog

It advances the scalability of ML in real-world applications by using algorithms to improve model performance and reproducibility. MLOps aims to streamline the time and resources it takes to run data science models using automation, ML and iterative improvements on each model version. What is MLOps?

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Accelerating AI/ML development at BMW Group with Amazon SageMaker Studio

Flipboard

With that, the need for data scientists and machine learning (ML) engineers has grown significantly. These skilled professionals are tasked with building and deploying models that improve the quality and efficiency of BMW’s business processes and enable informed leadership decisions.

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Top 5 Generative AI Integration Companies to drive Customer Support in 2023

Chatbots Life

Generative AI integration service: proposes “Embedded Generative AI” integration methodology to build Generative AI features into a client’s existing Conversational AI platform without creating a chatbot from scratch. 10Clouds is a software consultancy, development, ML, and design house based in Warsaw, Poland.

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MLflow: Simplifying Machine Learning Experimentation

Viso.ai

MLflow is an open-source platform designed to manage the entire machine learning lifecycle, making it easier for ML Engineers, Data Scientists, Software Developers, and everyone involved in the process. Many machine learning projects fail to deliver practical results due to difficulties in automation and deployment.

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Learn how Amazon Ads created a generative AI-powered image generation capability using Amazon SageMaker

AWS Machine Learning Blog

Here, Amazon SageMaker Ground Truth allowed ML engineers to easily build the human-in-the-loop workflow (step v). The workflow allowed the Amazon Ads team to experiment with different foundation models and configurations through blind A/B testing to ensure that feedback to the generated images is unbiased. with minimal effort.

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Develop and train large models cost-efficiently with Metaflow and AWS Trainium

AWS Machine Learning Blog

We then show how to set up the infrastructure stack you need to take your own data assets and pre-train or fine-tune a state-of-the-art Llama2 model on Trainium hardware. How Metaflow integrates with Trainium From a Metaflow developer perspective, using Trainium is similar to other accelerators.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning Blog

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. Lastly, we connect these together with an example LLM workload to describe an approach towards architecting with defense-in-depth security across trust boundaries.