Heartbeat

NOVEMBER 27, 2023

Photo by Youssef Skandarani on MDPI GANs can also assist in data synthesis for rare conditions, training robust models, and simulating realistic medical imaging scenarios for algorithm development and validation. GANs can generate synthetic medical images that resemble accurate patient data, augmenting limited datasets and preserving privacy.

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Heartbeat

JUNE 19, 2023

GANs have the power to create hyper-realistic images, videos, and audio that can often fool even the most intelligent human observers. The generator and discriminator are trained together, with the generator getting better at creating realistic data and the discriminator getting better at telling real from fake.

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Heartbeat

FEBRUARY 2, 2024

Key features of the VizWiz dataset include: Real-World Challenges: VizWiz introduces challenges encountered in daily activities, providing a realistic and diverse set of images relevant to visually impaired users' lives. We're committed to supporting and inspiring developers and engineers from all walks of life.

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DataRobot Blog

FEBRUARY 2, 2023

Learn how you can easily deploy a pre-trained foundation model using the DataRobot MLOps capabilities, then put the model into production. They can also be used for creative tasks, such as generating realistic text, which can be useful for a variety of applications, such as generating product descriptions or creating news articles.

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Heartbeat

NOVEMBER 21, 2023

Wikipedia Deep learning-based generative models have demonstrated remarkable creativity and fluency, from generating realistic text in conversational agents and chatbots to creating captivating stories and even composing music. GANs consist of two competing networks: the generator and the discriminator.

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Heartbeat

MAY 2, 2023

Use Cases: Object detection Image segmentation Video analysis Images restoration The MLOps difference? During training, the generator network learns to generate more realistic data samples that are more difficult for the discriminate network to identify as fake. The process of adjusting the weights is called back-propagation.

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The MLOps Blog

MARCH 12, 2024

While there are many similarities with MLOps, LLMOps is unique because it requires specialized handling of natural-language data, prompt-response management, and complex ethical considerations. How LLMOps compares to and diverges from traditional MLOps practices. to ingest data from health forums, medical journals, and wellness blogs.

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Iguazio

DECEMBER 18, 2023

This should all be done by following MLOps and CI/CD practices. After a year of enthusiasm (and perhaps overestimation) of generative AI's capabilities, businesses are now poised to gain a more realistic and practical understanding of where and how this technology can deliver the best ROI. Here’s to a successful 2024!

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Iguazio

DECEMBER 18, 2023

This should all be done by following MLOps and CI/CD practices. After a year of enthusiasm (and perhaps overestimation) of generative AI's capabilities, businesses are now poised to gain a more realistic and practical understanding of where and how this technology can deliver the best ROI. Here’s to a successful 2024!

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The MLOps Blog

MAY 31, 2023

Where Offline evaluation using metrics like NDCG (Normalised Discounted Cumulative Gain), Kendall’s Tau, Precision, and Recall helps a developer to fine-tune and test an algorithm in a very quick time frame, online evaluation provides a more realistic evaluation but takes a longer time. In the process, the team creates multiple models.

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phData

JUNE 7, 2023

Whether you’re a seasoned professional or a curious beginner, this blog serves as a guide to kickstart the integration of AI into your enterprise. Generative AI can be used to synthesize realistic and creative outputs, enabling applications like art generation, content creation, and data augmentation.

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AWS Machine Learning Blog

JULY 26, 2023

Generative AI models have been experiencing rapid growth in recent months due to its impressive capabilities in creating realistic text, images, code, and audio. Stable Diffusion can generate a wide variety of high-quality images, including realistic portraits, landscapes, and even abstract art.

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IBM Journey to AI blog

AUGUST 4, 2023

By tapping the expertise of stakeholders, you can ensure your objectives are inclusive and realistic. Use MLOps for scalability The development of machine learning (ML) models is notoriously error-prone and time-consuming. MLOps creates a process where it’s easier to cull insights from business data.

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Heartbeat

FEBRUARY 7, 2024

The ability to create immersive and realistic training environments is where AI-enhanced video synthesis shines. Aviation Simulations: Pilots and aviation personnel benefit from realistic flight simulations powered by AI. AI allows unlimited visual possibilities, from hyper-realistic explosions to fantastical creatures.

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