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Unlocking Insights: Building a Scorecard with Logistic Regression | by Vassily Morozov | Feb, 2024

After a credit card? An insurance policy? Ever wondered about the three-digit number that shapes these decisions? Introduction Scores are used by a large number of industries to make decisions. Financial institutions and insurance providers are using scores to determine whether someone is right for credit or a policy. Some nations are even using social…

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Salesforce AI Researchers Propose BootPIG: A Novel Architecture that Allows a User to Provide Reference Images of an Object in Order to Guide the Appearance of a Concept in the Generated Images

Personalized image generation is the process of generating images of certain personal objects in different user-specified contexts. For example, one may want to visualize the different ways their pet dog would look in different scenarios. Apart from personal experiences, this method also has use cases in personalized storytelling, interactive designs, etc. Although current text-to-image generation…

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How to Improve AI Performance by Understanding Embedding Quality | by Eivind Kjosbakken | Feb, 2024

Learn how to ensure the quality of your embeddings, which can be essential for your machine-learning system. Creating quality embeddings is an essential part of most AI systems. Embeddings are the foundation on which an AI model can do its job, and creating high-quality embeddings is, therefore, an important element in making high-accuracy AI models.…

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Meet EscherNet: A Multi-View Conditioned Diffusion Model for View Synthesis

View synthesis, integral to computer vision and graphics, enables scene re-rendering from diverse perspectives akin to human vision. It aids in tasks like object manipulation and navigation while fostering creativity. Early neural 3D representation learning primarily optimized 3D data directly, aiming to enhance view synthesis capabilities for broader applications in these fields. However, all these…

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3 Research-Driven Advanced Prompting Techniques for LLM Efficiency and Speed Optimization

Image by Freepik     Large Language Models (LLMs) like OpenAI's GPT and Mistral's Mixtral are increasingly playing an important role in the development of AI-powered applications. The ability of these models to generate human-like results makes them the perfect assistants for content creation, code debugging, and other time-intensive tasks. However, one common challenge faced…

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