Welcome to the winner announcement of the Future of AI Writing Contest by GadflyAI and HackerNoon. This contest is the most successful one-month writing contest so far. We published 125 stories in 1 month, generating 200,000+ reads and 24 days of reading time! We thank the HackerNoon writer community for sharing such diverse, well-researched, and educational stories on the future of AI. It was fun reading all the entries. The Future of AI Writing Contest: Top 15 Nominations For selecting the top 15 nominations, we picked all the stories with the future of ai tag on HackerNoon, published in August. Then, we chose the top stories weighing in the following factors: Number of hours read
The number of people reached
The originality of the content
Sponsor feedback Here’s the list of the top 15 stories: How to Make Any LLM More Accurate with Just a Few Lines of Code by @FrederikBussler


Decoding the Future: 50 AI Statistics Highlighting Marketing's Transformation In 2023 by @darragh


Creating a Domain Expert LLM: A Guide to Fine-Tuning by @shanglun


The Future of Artificial Intelligence (AI) by @maken8


A Beginner's Guide to Using Large Language Models (LLMs) With the PaLM API by @wise4rmgod


Africa: AI and Security by @zraso


Critical Thinking to AI: Are you a Friend or Foe? by @meadhbhh


LLMs Don't Understand Negation by @omerosenbaum


It's Not the Machines, Dummy — It's Our Sociopolitical-Economic System by @djcampbell


Automating the Automation: Can AI Fully Take Over the Data Scraping Process? by @cerniauskas


Could Wall Street’s ‘Roaring 20s’ be Powered by Undervalued Generative AI Stocks? by @dmytro-spilka


How LLM Models Secretly Push Political Agendas - Shocking Truth Revealed! by @Manish-sharma


How to Prioritize AI Projects Amidst GPU Constraints by @prerakgarg


AI and the Future of Space Exploration by @induction


How to Structure Your Machine Learning Team for Success by @cheparukhin Wow, a solid line-up HackerNooners! You made it difficult for us to choose one winner, but there has to be one. The winner #future-of-ai story with 4800+ reads and the highest number of votes is: https://hackernoon.com/how-to-make-any-llm-more-accurate-in-just-a-few-lines-of-code?embedable=true Context-dependent, ambiguous, and diverse, language data is a wild beast that even the best algorithms struggle to tame. It’s impossible to accurately label all this data, which inevitably means that even state-of-the-art LLMs are trained on tons of incorrectly-labeled data. Congratulations, @FrederikBussler! You have won $1000. We will contact you to share the next steps to claim your reward. Shoutout to all the finalists! Visit contests.hackernoon.com to learn more about running and upcoming contests. Welcome to the winner announcement of the Future of AI Writing Contest by GadflyAI and HackerNoon. This contest is the most successful one-month writing contest so far. We published 125 stories in 1 month, generating 200,000+ reads and 24 days of reading time! We thank the HackerNoon writer community for sharing such diverse, well-researched, and educational stories on the future of AI. It was fun reading all the entries. The Future of AI Writing Contest: Top 15 Nominations For selecting the top 15 nominations, we picked all the stories with the future of ai tag on HackerNoon, published in August. Then, we chose the top stories weighing in the following factors: Number of hours read The number of people reached The originality of the content Sponsor feedback Number of hours read The number of people reached The originality of the content Sponsor feedback Here’s the list of the top 15 stories: Here’s the list of the top 15 stories: How to Make Any LLM More Accurate with Just a Few Lines of Code by @FrederikBussler Decoding the Future: 50 AI Statistics Highlighting Marketing's Transformation In 2023 by @darragh Creating a Domain Expert LLM: A Guide to Fine-Tuning by @shanglun The Future of Artificial Intelligence (AI) by @maken8 A Beginner's Guide to Using Large Language Models (LLMs) With the PaLM API by @wise4rmgod Africa: AI and Security by @zraso Critical Thinking to AI: Are you a Friend or Foe? by @meadhbhh LLMs Don't Understand Negation by @omerosenbaum It's Not the Machines, Dummy — It's Our Sociopolitical-Economic System by @djcampbell Automating the Automation: Can AI Fully Take Over the Data Scraping Process? by @cerniauskas Could Wall Street’s ‘Roaring 20s’ be Powered by Undervalued Generative AI Stocks? by @dmytro-spilka How LLM Models Secretly Push Political Agendas - Shocking Truth Revealed! by @Manish-sharma How to Prioritize AI Projects Amidst GPU Constraints by @prerakgarg AI and the Future of Space Exploration by @induction How to Structure Your Machine Learning Team for Success by @cheparukhin How to Make Any LLM More Accurate with Just a Few Lines of Code by @FrederikBussler How to Make Any LLM More Accurate with Just a Few Lines of Code by @FrederikBussler How to Make Any LLM More Accurate with Just a Few Lines of Code @FrederikBussler Decoding the Future: 50 AI Statistics Highlighting Marketing's Transformation In 2023 by @darragh Decoding the Future: 50 AI Statistics Highlighting Marketing's Transformation In 2023 by @darragh Decoding the Future: 50 AI Statistics Highlighting Marketing's Transformation In 2023 @darragh Creating a Domain Expert LLM: A Guide to Fine-Tuning by @shanglun Creating a Domain Expert LLM: A Guide to Fine-Tuning by @shanglun Creating a Domain Expert LLM: A Guide to Fine-Tuning @shanglun The Future of Artificial Intelligence (AI) by @maken8 The Future of Artificial Intelligence (AI) by @maken8 The Future of Artificial Intelligence (AI) @maken8 A Beginner's Guide to Using Large Language Models (LLMs) With the PaLM API by @wise4rmgod A Beginner's Guide to Using Large Language Models (LLMs) With the PaLM API by @wise4rmgod A Beginner's Guide to Using Large Language Models (LLMs) With the PaLM API @wise4rmgod Africa: AI and Security by @zraso Africa: AI and Security by @zraso Africa: AI and Security by @zraso Critical Thinking to AI: Are you a Friend or Foe? by @meadhbhh Critical Thinking to AI: Are you a Friend or Foe? by @meadhbhh Critical Thinking to AI: Are you a Friend or Foe? @meadhbhh LLMs Don't Understand Negation by @omerosenbaum LLMs Don't Understand Negation by @omerosenbaum LLMs Don't Understand Negation @omerosenbaum It's Not the Machines, Dummy — It's Our Sociopolitical-Economic System by @djcampbell It's Not the Machines, Dummy — It's Our Sociopolitical-Economic System by @djcampbell It's Not the Machines, Dummy — It's Our Sociopolitical-Economic System @djcampbell Automating the Automation: Can AI Fully Take Over the Data Scraping Process? by @cerniauskas Automating the Automation: Can AI Fully Take Over the Data Scraping Process? by @cerniauskas Automating the Automation: Can AI Fully Take Over the Data Scraping Process? @cerniauskas Could Wall Street’s ‘Roaring 20s’ be Powered by Undervalued Generative AI Stocks? by @dmytro-spilka Could Wall Street’s ‘Roaring 20s’ be Powered by Undervalued Generative AI Stocks? by @dmytro-spilka Could Wall Street’s ‘Roaring 20s’ be Powered by Undervalued Generative AI Stocks? @dmytro-spilka How LLM Models Secretly Push Political Agendas - Shocking Truth Revealed! by @Manish-sharma How LLM Models Secretly Push Political Agendas - Shocking Truth Revealed! by @Manish-sharma How LLM Models Secretly Push Political Agendas - Shocking Truth Revealed! @Manish-sharma How to Prioritize AI Projects Amidst GPU Constraints by @prerakgarg How to Prioritize AI Projects Amidst GPU Constraints by @prerakgarg How to Prioritize AI Projects Amidst GPU Constraints @prerakgarg AI and the Future of Space Exploration by @induction AI and the Future of Space Exploration by @induction AI and the Future of Space Exploration @induction How to Structure Your Machine Learning Team for Success by @cheparukhin How to Structure Your Machine Learning Team for Success by @cheparukhin How to Structure Your Machine Learning Team for Success @cheparukhin Wow, a solid line-up HackerNooners! You made it difficult for us to choose one winner, but there has to be one. The winner #future-of-ai story with 4800+ reads and the highest number of votes is: https://hackernoon.com/how-to-make-any-llm-more-accurate-in-just-a-few-lines-of-code?embedable=true https://hackernoon.com/how-to-make-any-llm-more-accurate-in-just-a-few-lines-of-code?embedable=true Context-dependent, ambiguous, and diverse, language data is a wild beast that even the best algorithms struggle to tame. It’s impossible to accurately label all this data, which inevitably means that even state-of-the-art LLMs are trained on tons of incorrectly-labeled data. Context-dependent, ambiguous, and diverse, language data is a wild beast that even the best algorithms struggle to tame. It’s impossible to accurately label all this data, which inevitably means that even state-of-the-art LLMs are trained on tons of incorrectly-labeled data. Congratulations, @FrederikBussler ! You have won $1000. We will contact you to share the next steps to claim your reward. @FrederikBussler Shoutout to all the finalists! Visit contests.hackernoon.com to learn more about running and upcoming contests. contests.hackernoon.com

The Web Development Writing Contest: Round 3 Finalists Announced!

The Unity Writing Contest: Round 3 Finalists Announced!

The Future of AI Writing Contest by GadflyAI: Winner Announced!

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