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Build and Monitor an Object Detection Model in 5 Steps Using Comet
In this project guide, we will dive into object detection by creating a custom object detection model and monitoring its…
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Harnessing Machine Learning for Climate Change Mitigation: A Roadmap to Sustainable Future
Weather forecasting is our trusty crystal ball, keeping us safe from storms, floods, and heat waves. In a world where…
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The Magical World of Edge AI and Federated Learning: Unleashing the Power of Smart Devices and Protecting Data Privacy
Hello there, tech enthusiasts! Ready to be amazed by the miracles of artificial intelligence like you’ve never seen before? Welcome…
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Containerization of Machine Learning Applications
Photo by Ian Taylor on Unsplash This article will comprehensively create, deploy, and execute machine learning application containers using the…
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How To Use Comet At Different Stages of ML Projects
Photo by Nguyen Le Viet Anh on Unsplash Machine learning (ML) projects are usually complicated and include several stages, from…
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Choosing the Right Prompt for Language Models: A Key to Task-Specific Performance
Imagine conversing with a language model that understands your needs, responds appropriately, and provides valuable insights. This level of interaction…
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Recommender System Optimization for Online Platforms: A Comparative Study Using Comet
Photo by C D-X on Unsplash Imagine scrolling through your favorite online platform, whether it’s Netflix, YouTube, or Spotify, searching…
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LLMs: Exploring Data with YOLOPandas 🐼 and Comet
Have you ever imagined how cool it would be to analyze, explore and visualize your data in Pandas without typing…
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Plan-and-Execute Agents in Langchain
Evolution from Action to Plan-and-Execute Traditional “Action Agents” followed a framework where user input was received, the agent decided on…
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Using the ReAct Framework in LangChain
Both ways: Using off-the-shelf agents and LCEL ReAct Framework for Prompting ReAct, which stands for Reasoning + Acting, is a prompting…