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An Introduction To Fine-Tuning Pre-Trained Transformers Models | by Ram Vegiraju | Feb, 2024

Simplified utilizing the HuggingFace trainer object Image from Unsplash by Markus SpiskeHuggingFace serves as a home to many popular open-source NLP models. Many of these models are effective as is, but often require some sort of training or fine-tuning to improve performance for your specific use-case. As the LLM implosion continues, we will take a…

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A Weekend AI Project: Making a Visual Assistant for People with Vision Impairments | by Dmitrii Eliuseev | Feb, 2024

Running a multimodal LLaVA model, camera, and speech synthesis Image by Enoc Valenzuela, UnsplashModern large multimodal models (LMMs) can process not only text but also different types of data. Indeed, “a picture is worth a thousand words,” and this functionality can be crucial during the interaction with the real world. In this “weekend project,” I…

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Meta vs. OpenAI: Large Open-source Models for Translation

Meta’s open-source Seamless models: A deep dive into translation model architectures and a Python implementation guide using HuggingFace This post was co-authored with Rafael Guedes. The growth of an organization is not limited to its country boundaries. Some organizations only sell or operate on external markets. This globalization comes with several challenges, one being how…

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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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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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