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🧮 What is the future of AI Education?

Contents:

  • 👩‍⚕️ AI Outperforms Real Doctors?

  • 💪🏽 Miscellaneous and AI updates:

  • 😜 Prompt Engineering Tools - A true 💎

  • 🧰 AI Tools of the Week

  • ⚖️ AI's Legal Time Bomb! GitHub's Code-Generating AI Faces Lawsuit

  • 🧮 What is the future of AIducation?

  • ⚙️ Are you looking for a role in an elite company?

👩‍⚕️ AI Outperforms Real Doctors?

Harvard Expert's Jaw-Dropping Discovery of GPT-4's Medical Genius and Its Ethical Dilemma!"

In the forthcoming book "The AI Revolution in Medicine," Dr. Isaac Kohane, a computer scientist and physician at Harvard, along with co-authors Carey Goldberg and Peter Lee, explore the capabilities of OpenAI's GPT-4 in a medical setting.

The book reveals that GPT-4 performs exceptionally well in answering US medical exam licensing questions and effectively translates medical jargon into layman's terms. GPT-4 can also offer doctors advice on bedside manner and summarize lengthy reports quickly. Kohane describes a clinical thought experiment in which GPT-4 correctly diagnosed a rare 1 in 100,000 condition in seconds.

However, the book also highlights that GPT-4 is not always reliable and lacks ethical judgment. Despite this, the authors suggest that GPT-4 has the potential to improve clinical practices by freeing up clinicians' time.



💪🏽 Miscellaneous and AI updates:



😜 Prompt Engineering Tools

The potential of artificial intelligence (AI) is truly astounding, yet unlocking its full capabilities remains a challenge. If we are unable to effectively harness and maximize its use, we risk missing out on a wealth of opportunities and benefits that AI has to offer. It is up to us to explore, innovate, and leverage AI to its fullest extent, so we can truly tap into its transformative power. Therefore we are bringing you a section to become a better AI prompter, prompt engineering anybody 😜, and understand AI to make the most of it. This week we present you a jewel from Ignacio Velasquez -

500+ ChatGPT Prompt Templates broken down into 23 categories. Enjoy and let us know what you think.

If you need more of a beginner guide, check out this amazing article.



🧰 AI Tools of the week

  • Pulley - Recommendation emails that convert.

  • Nanos instant marketing - Marketing automation white-label solution for creation and management of advertising campaigns.

  • RegisAI - This AI writing tool creates product descriptions and ad copies with just a few keywords and the name of your product.

  • Flair - The AI Design Tool for Branded Content and product photography with text prompts.

  • Mentioned - Scan your content to identify people and companies you've mentioned, then, send email campaigns to let them know.

  • Barua AI - Generate outbound email with text prompts.

  • Superflow - Respond to your Gmail inbox faster with AI-generated 1-click replies, customized to your workflows.

  • Robin - Reach out to leads, conduct research, and handle initial outreach. Writes and sends emails from your email address.

Follow me on Twitter, where I’ll be sharing tools every day.


⚖️ AI's Legal Time Bomb! GitHub's Code-Generating AI Faces Lawsuit

Could Your Business Be Next?"

The rise of advanced AI models, such as GPT-4, presents opportunities for automation and efficiency across industries but also raises copyright concerns for AI-generated content. These models are trained on massive datasets, including potentially copyrighted material, leading to questions about the intellectual property status of the output.

The legal framework for AI-generated content is under scrutiny, as exemplified by the lawsuit against GitHub's AI-powered code generation tool, Co-Pilot, which uses OpenAI's Large Language Model. Plaintiffs claim that Co-Pilot infringes upon their intellectual property rights by utilizing their contributed code. The case's outcome may set legal precedent and impact businesses using AI tools.

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🧮 What is the future of AIducation?

Duolingo, the language-learning app, uses sophisticated AI systems, including one called Birdbrain, to enhance the learning experience.



Birdbrain uses algorithms based on educational psychology and machine learning to personalize lessons. Duolingo aims to achieve the "2-sigma" effect identified by Benjamin Bloom, where students tutored individually perform two standard deviations better than those in a classroom. Birdbrain estimates the difficulty of each exercise and the proficiency of the learner to optimize engagement and learning.

The second version of Birdbrain uses a recurrent neural network (LSTM) model, representing a learner's knowledge as a 40-dimensional vector, enabling richer personalization. With over 50 million active learners completing about 1 billion exercises daily, Duolingo is expanding to cover childhood literacy and third-grade mathematics. The goal is to emulate the qualities of great teachers and reach more learners through technology, while continuously optimizing learning and adapting to different teaching approaches that work for each learner.

The AI-driven personalization approach used by Duolingo's Birdbrain has the potential to transform education in several significant ways:

  1. Personalized Learning: AI-powered systems can tailor educational content to each learner's individual needs, skill level, and learning pace. Ensuring that learners are consistently challenged without being overwhelmed, leading to more effective and efficient learning.

  2. Improved Accessibility: Worldwide access offers educational opportunities to those who may not have access to high-quality educational resources or instructors. It can help bridge educational gaps and reduce disparities between urban and rural areas, as well as between developed and developing regions.

  3. Greater Engagement and Retention: By using gamification elements, adaptive lesson plans, and real-time feedback, AI-powered educational platforms can increase learner engagement and motivation. The ability to continuously adapt the content to the learner's needs and preferences helps to maintain interest and reduce dropout rates.

  4. Continuous Improvement: AI systems like Birdbrain can analyze vast amounts of data, including learners' interactions, performance, and feedback. This analysis enables continuous improvement of the educational content, instructional design, and delivery methods. It also allows for the identification and addressing of common pain points and challenges faced by learners.

  5. Scalability: AI-driven educational platforms can accommodate a large number of learners simultaneously, with the ability to serve millions of students without compromising the quality of instruction. This scalability allows educational institutions and organizations to reach a broader audience at a lower cost.

  6. Data-Driven Insights: The data collected by AI systems can provide educators, administrators, and policymakers with valuable insights into learning patterns, strengths, weaknesses, and trends. These insights can inform curriculum development, teaching methodologies, and educational policies, leading to more informed decision-making.

  7. Lifelong Learning: AI-powered educational platforms offer flexibility and convenience for learners of all ages. They can provide opportunities for continuous learning and skill development, allowing individuals to adapt to changing job markets, acquire new skills, and pursue personal interests throughout their lives.

  8. Empowerment of Educators: While AI systems cannot replace the role of human educators, they can complement and empower them by automating repetitive tasks, providing real-time assessments, and generating personalized learning plans. This allows teachers to focus on higher-order tasks, such as fostering creativity, critical thinking, and emotional intelligence, and providing individualized support to learners.

Overall, the integration of AI-driven personalization into education has the potential to revolutionize the way we teach and learn, making education more accessible, engaging, effective, and inclusive on a global scale.

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