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Image Augmentation for Computer Vision Tasks Using PyTorch
Source: https://unsplash.com/photos/-f8ssjFhD1k Data augmentation is the process of transforming training data to introduce randomness. This strategy is common for computer…
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Resampling to Properly Handle Imbalanced Datasets in Machine Learning
Photo by Martin Sanchez on Unsplash Often in machine learning, and specifically with classification problems, we encounter imbalanced datasets. This…
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RoBERTa: A Modified BERT Model for NLP
Photo by Fatos Bytyqi on Unsplash Introduction Did you know that in the past, computers struggled to understand human languages?…
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NLP techniques used for compliance checks
AI-powered applications and solutions have become a major catalyst when it comes to compliance checks, particularly in NLP. The aim…
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Tracking JAX and Flax models with Comet
JAX is a Python library offering high performance in machine learning with XLA and Just In Time (JIT) compilation. Its…
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Monitoring Your Time Series Model in Comet
In this tutorial, we will go through steps on how to use Comet to monitor our time-series forecasting model. We…
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Image Captioning: Bridging Computer Vision and Natural Language Processing
Image captioning combines natural language processing and computer vision to generate image textual descriptions automatically. This technology has broad applications,…
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Customer Churn With Continuous Experiment Tracking
Introduction In today’s competitive business environment, retaining customers is essential to a company’s success. Customer churn, or the rate at…
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Hyperparameter Tuning for Optimizing ML Performance
Hyperparameter tuning is a key step in order to optimize your machine learning model’s performance. Learn what it is and…
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Large Language Models: Navigating Comet LLMOps Tools
Hey there! I’m so excited to talk to you about Language Models! They’re these incredible creations called Large Language Models…
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Comet Blog
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From Observability to Optimization: Announcing the Opik Agent Optimizer Public Beta
At Comet, we’re driven by a commitment to advance innovation in AI, particularly in the realm of LLM observability. Our…
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