fbxlinkedin

Imbued by Tech (IBTNL72)



In this issue:

  • The NFL Turns to AI to Elevate the Game
  • Elon Musk Backs California's New AI Bill
  • Prompt Engineering 101: The Key to Unlocking AI's Potential
  • Free Tools Every ML Beginner Should Use

The NFL Turns to AI to Elevate the Game

The NFL is embracing AI technology to enhance accuracy and fairness on the field, starting with the introduction of the Hawk-Eye system. As reported by Bleacher Report, this technology will be used in select 2024 preseason games to help

  • measure the line to gain
  • providing precise
  • real-time data on the position of
  • players
  • officials
  • and the ball

This move is expected to reduce human error and make the game even more accurate.

A similar system, TruLine, is already being used in the UFL, as noted in a tweet by Joe Pompliano.

πŸ‘† Click image to read @JosePompliano's post on X.

The success of such systems proves how AI can revolutionize sports officiating, providing reliable and unbiased data.

πŸ‘‰ Want the full scoop? Click here to read more.


Elon Musk Backs California's New AI Bill

In an unexpected move, Elon Musk has voiced his support for California's new AI legislation, SB-1047, which aims to regulate AI development and ensure ethical standards.

As reported by TechCrunch, Musk believes this bill is a necessary step to keep AI safe and prevent potential risks as the technology advances. His backing has added weight to the ongoing debate around AI governance.

The SB-1047 bill, as explained by Aftermath User on X, focuses on creating transparency and accountability in AI systems, particularly those used in critical areas like healthcare and public safety.

πŸ‘† Click image to read @aftermath_user's post on X.

πŸ‘‰ Want the full scoop? Click here to read more.


Prompt Engineering 101: The Key to Unlocking AI's Potential

Prompt engineering is quickly becoming a vital skill in the AI world, enabling users to get the best results from AI models like ChatGPT.

As outlined in a Medium article, prompt engineering involves crafting specific and clear instructions to guide AI responses.

🧐 It's all about asking the right questions for the most accurate and useful answers.

Leonie's post on X provides real-world examples of prompt strategies, showing how slight changes in phrasing can drastically improve AI output.

πŸ‘† Click image to read @helloiamleonie's post on X.

πŸ‘‰ Want the full scoop? Click here to read more.


Free Tools Every ML Beginner Should Use

If you're just starting out in machine learning (ML), there are plenty of free tools that can help you build and experiment without breaking the bank.

According to Machine Learning Mastery, some essential tools include

  • Google Colab for coding in Python
  • Scikit-learn for implementing basic ML models
  • TensorFlow for deep learning tasks.

These platforms provide the foundation you need to dive into real-world ML projects.

If you want to learn more with using Huggling Face, check out this YouTube video that provides a step-by-step guide to getting started.

πŸ‘† Click image to watch the full YouTube video.

πŸ‘‰ Want to find out their solution? Click here.


Join the community of readers for a daily tech newsletter