Zain Kahn: Here's How to Boost Your Productivity Using ChatGPT

Machine Learning Tech Brief By HackerNoon

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This story was originally published on HackerNoon at: https://hackernoon.com/zain-kahn-heres-how-to-boost-your-productivity-using-chatgpt.
10 advanced ChatGPT prompts to boost your productivity
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #artificial-intelligence, #ai, #chatgpt, #productivity, #tech-twitter-thread, #gpt, #ai-prompt, #decision-making, and more.
This story was written by: @techtweeter. Learn more about this writer by checking @techtweeter's about page, and for more stories, please visit hackernoon.com.
1. Improve your decision-making Prompt: "I am trying to decide if I should [insert decision]. Give me a list of pros and cons that will help me decide why I should or shouldn't make this decision."

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Zain Kahn: Here's How to Boost Your Productivity Using ChatGPT

Machine Learning Tech Brief By HackerNoon

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This story was originally published on HackerNoon at: https://hackernoon.com/my-top-4-ai-picks-for-june-2024-cool-tools-you-should-check-out . My personal 4 top AI picks for June 2024. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning . You can also check exclusive content about #ai , #proflead , #artificial-intelligence , #ai-tools , #websim.ai , #june-ai-update , #best-ai-tools , and more. This story was written by: @proflead . Learn more about this writer by checking @proflead's about page, and for more stories, please visit hackernoon.com .…

1
Building a Facial Recognition Pipeline with Deep Learning in Tensorflow 9:06

1 year پیش9:06

9:06

This story was originally published on HackerNoon at: https://hackernoon.com/building-a-facial-recognition-pipeline-with-deep-learning-in-tensorflow-66e7645015b8 . In my last tutorial , you learned about convolutional neural networks and the theory behind them. In this tutorial, you’ll learn how to use a convolutional neural network to perform facial recognition using Tensorflow, Dlib, and Docker. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning . You can also check exclusive content about #machine-learning , #deep-learning , #facial-recognition , #tensorflow , #docker , and more. This story was written by: @ColeMurray . Learn more about this writer by checking @ColeMurray's about page, and for more stories, please visit hackernoon.com .…

1
Towards the Automation of Book Typesetting: Computational Approaches in Editorial Design 8:31

1 year پیش8:31

8:31

This story was originally published on HackerNoon at: https://hackernoon.com/towards-the-automation-of-book-typesetting-computational-approaches-in-editorial-design . This paper proposes a generative approach for the automatic typesetting of books that consistently creates varied book designs from the same input content. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning . You can also check exclusive content about #generative-ai , #design-tools , #data-driven-design , #generative-design , #graphic-design , #typography , #automatic-design , #input-content , and more. This story was written by: @typesetting . Learn more about this writer by checking @typesetting's about page, and for more stories, please visit hackernoon.com . This paper proposes a generative approach for the automatic typesetting of books that consistently creates varied book designs from the same input content.…

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Towards the Automation of Book Typesetting: Acknowledgments and References 22:50

1 year پیش22:50

22:50

This story was originally published on HackerNoon at: https://hackernoon.com/towards-the-automation-of-book-typesetting-acknowledgments-and-references . This paper proposes a generative approach for the automatic typesetting of books that consistently creates varied book designs from the same input content. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning . You can also check exclusive content about #generative-ai , #design-tools , #data-driven-design , #generative-design , #graphic-design , #typography , #automatic-design , #input-content , and more. This story was written by: @typesetting . Learn more about this writer by checking @typesetting's about page, and for more stories, please visit hackernoon.com . This paper proposes a generative approach for the automatic typesetting of books that consistently creates varied book designs from the same input content.…

1
Maximizing Log Value with AI: 8 Ways to Revolutionize DevSecOps Monitoring 9:56

1 year پیش9:56

9:56

This story was originally published on HackerNoon at: https://hackernoon.com/maximizing-log-value-with-ai-8-ways-to-revolutionize-devsecops-monitoring . AI enhances DevSecOps by handling vast log data, automating security, and reducing alert fatigue, transforming logs into actionable insights efficiently. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning . You can also check exclusive content about #ai , #logging , #artificial-intelligence , #devsecops , #the-future-of-logging , #logging-and-monitoring , #log-value , #ai-devsecops , and more. This story was written by: @MichaelB . Learn more about this writer by checking @MichaelB's about page, and for more stories, please visit hackernoon.com .…

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Exploring Graph RAG: Enhancing Data Access and Evaluation Techniques 13:14

1 year پیش13:14

13:14

This story was originally published on HackerNoon at: https://hackernoon.com/exploring-graph-rag-enhancing-data-access-and-evaluation-techniques . What is Graph RAG, what can it do, and how do you evaluate it? Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning . You can also check exclusive content about #generative-ai , #rag-architecture , #knowledge-graph , #ai-top-story , #ai-applications , #llms , #data-science , #graph-rag , and more. This story was written by: @linked_do . Learn more about this writer by checking @linked_do's about page, and for more stories, please visit hackernoon.com . From Zero to Graph RAG in 60 Minutes or Less. Introduction, architecture, a real world use case setup, evaluation…

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