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How Will AI Change Things?
How Will AI Change Things?
Many current DIY learning materials tend to place the learner in a passive role: watching videos, reading articles, etc. Their understanding can be tested by application, but lacks the guidance normally provided by a teacher. One solution to this is hiring someone for training or mentorship, but this can increase the cost dramatically.
AI can potentially offer a middle ground solution: more of the interactivity present with a teacher but at a less expensive and logistically flexible option.
Feedback
Feedback
A crucial aspect of teaching is giving feedback. Although an independent learner may be able to tell if they are successful at a particular task, guidance on how to improve or problem areas may be difficult to self-assess. AI tools can help provide constructive feedback on a user’s work. For example, an AI tool exists that helps people prepare for job interviews by evaluating a sample video. The tool provides feedback on speaking pauses, eye contact, vocal tone, etc.
A crucial aspect of teaching is giving feedback. Although an independent learner may be able to tell if they are successful at a particular task, guidance on how to improve or problem areas may be difficult to self-assess. AI tools can help provide constructive feedback on a user’s work. For example, an AI tool exists that helps people prepare for job interviews by evaluating a sample video. The tool provides feedback on speaking pauses, eye contact, vocal tone, etc.
Planning Learning
Planning Learning
Large language models like ChatGPT can be useful for independent learners. They can summarize a large body of complex information, creating manageable summaries and give learners an overview of what they need to learn. Essentially, they can be utilized to create a custom curriculum for any topic. This addresses one of the great weaknesses of DIY learning, that the learner doesn’t always know what they need to know.
Large language models like ChatGPT can be useful for independent learners. They can summarize a large body of complex information, creating manageable summaries and give learners an overview of what they need to learn. Essentially, they can be utilized to create a custom curriculum for any topic. This addresses one of the great weaknesses of DIY learning, that the learner doesn’t always know what they need to know.
Interactive Experiences
Interactive Experiences
In many situations, learning benefits from working with others. This ranges from social aspects of learning, to developing communication skills.
New AI tools seek to replicate the interativity missing in most online learning, creating real time conversations. This can be a powerful tool for learning skills requiring dialog, such as interviewing or a new language.
The app praktika aims to offer a variety of AI companions to practice language skills with.
Sample Learning Plan with ChatGPT
Sample Learning Plan with ChatGPT
Prompt:
Prompt:
Create a learning plan for an adult looking to transition from teaching to AI prompt engineering. Include important books or articles to read, key skills and software to learn, and a suggested schedule to learn the requirements in six months
Create a learning plan for an adult looking to transition from teaching to AI prompt engineering. Include important books or articles to read, key skills and software to learn, and a suggested schedule to learn the requirements in six months
Response:
Response:
Transitioning from teaching to AI prompt engineering can be an exciting journey. Here’s a structured six-month learning plan designed to help you acquire the necessary knowledge and skills:
Transitioning from teaching to AI prompt engineering can be an exciting journey. Here’s a structured six-month learning plan designed to help you acquire the necessary knowledge and skills:
### Month 1: Introduction to AI and Machine Learning
### Month 1: Introduction to AI and Machine Learning
**Goals:**
**Goals:**
- Understand the basics of AI, machine learning, and their applications.
- Understand the basics of AI, machine learning, and their applications.
- Familiarize yourself with the key concepts and terminology.
- Familiarize yourself with the key concepts and terminology.
**Books/Articles:**
**Books/Articles:**
- "Artificial Intelligence: A Guide for Thinking Humans" by Melanie Mitchell
- "Artificial Intelligence: A Guide for Thinking Humans" by Melanie Mitchell
- "Machine Learning Yearning" by Andrew Ng (free ebook)
- "Machine Learning Yearning" by Andrew Ng (free ebook)
- Articles from Towards Data Science and Medium on AI basics
- Articles from Towards Data Science and Medium on AI basics
**Skills/Software:**
**Skills/Software:**
- Basic programming (Python)
- Basic programming (Python)
- Basic understanding of machine learning concepts
- Basic understanding of machine learning concepts
**Schedule:**
**Schedule:**
- Week 1-2: Read "Artificial Intelligence: A Guide for Thinking Humans."
- Week 1-2: Read "Artificial Intelligence: A Guide for Thinking Humans."
- Week 3: Start "Machine Learning Yearning."
- Week 3: Start "Machine Learning Yearning."
- Week 4: Begin Python tutorials (Codecademy, Coursera, or freeCodeCamp).
- Week 4: Begin Python tutorials (Codecademy, Coursera, or freeCodeCamp).
### Month 2: Deep Dive into Machine Learning
### Month 2: Deep Dive into Machine Learning
**Goals:**
**Goals:**
- Gain a deeper understanding of machine learning algorithms and their implementation.
- Gain a deeper understanding of machine learning algorithms and their implementation.
- Learn the practical applications of ML.
- Learn the practical applications of ML.
**Books/Articles:**
**Books/Articles:**
- "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron
- "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron
- Research papers from arXiv on machine learning topics
- Research papers from arXiv on machine learning topics
**Skills/Software:**
**Skills/Software:**
- Python libraries: NumPy, pandas, scikit-learn
- Python libraries: NumPy, pandas, scikit-learn
- Introduction to TensorFlow and Keras
- Introduction to TensorFlow and Keras
**Schedule:**
**Schedule:**
- Week 1-2: Read "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow."
- Week 1-2: Read "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow."
- Week 3-4: Work through practical examples and exercises from the book.
- Week 3-4: Work through practical examples and exercises from the book.
### Month 3: Natural Language Processing (NLP)
### Month 3: Natural Language Processing (NLP)
**Goals:**
**Goals:**
- Understand the fundamentals of NLP.
- Understand the fundamentals of NLP.
- Learn about different NLP models and their applications.
- Learn about different NLP models and their applications.
**Books/Articles:**
**Books/Articles:**
- "Speech and Language Processing" by Daniel Jurafsky and James H. Martin
- "Speech and Language Processing" by Daniel Jurafsky and James H. Martin
- Articles on GPT and BERT from Medium and Towards Data Science
- Articles on GPT and BERT from Medium and Towards Data Science
**Skills/Software:**
**Skills/Software:**
- Python libraries: NLTK, spaCy, Hugging Face Transformers
- Python libraries: NLTK, spaCy, Hugging Face Transformers
- Understanding of GPT and BERT models
- Understanding of GPT and BERT models
**Schedule:**
**Schedule:**
- Week 1-2: Read selected chapters from "Speech and Language Processing."
- Week 1-2: Read selected chapters from "Speech and Language Processing."
- Week 3-4: Explore tutorials and projects using NLTK, spaCy, and Hugging Face.
- Week 3-4: Explore tutorials and projects using NLTK, spaCy, and Hugging Face.
### Month 4: Prompt Engineering and Model Fine-Tuning
### Month 4: Prompt Engineering and Model Fine-Tuning
**Goals:**
**Goals:**
- Learn the art of crafting effective prompts for AI models.
- Learn the art of crafting effective prompts for AI models.
- Understand model fine-tuning techniques.
- Understand model fine-tuning techniques.
**Books/Articles:**
**Books/Articles:**
- OpenAI’s documentation and blog on GPT models
- OpenAI’s documentation and blog on GPT models
- Research papers on prompt engineering
- Research papers on prompt engineering
**Skills/Software:**
**Skills/Software:**
- OpenAI API, GPT-3/4
- OpenAI API, GPT-3/4
- Techniques for prompt design and model fine-tuning
- Techniques for prompt design and model fine-tuning
**Schedule:**
**Schedule:**
- Week 1-2: Study OpenAI documentation and related articles.
- Week 1-2: Study OpenAI documentation and related articles.
- Week 3-4: Practice crafting prompts and fine-tuning models using OpenAI’s API.
- Week 3-4: Practice crafting prompts and fine-tuning models using OpenAI’s API.
### Month 5: Practical Applications and Projects
### Month 5: Practical Applications and Projects
**Goals:**
**Goals:**
- Apply your knowledge to real-world projects.
- Apply your knowledge to real-world projects.
- Build a portfolio showcasing your skills.
- Build a portfolio showcasing your skills.
**Books/Articles:**
**Books/Articles:**
- Case studies on AI applications in education and other fields
- Case studies on AI applications in education and other fields
- Articles on AI ethics and best practices
- Articles on AI ethics and best practices
**Skills/Software:**
**Skills/Software:**
- Project management tools (Trello, Asana)
- Project management tools (Trello, Asana)
- GitHub for version control and project showcase
- GitHub for version control and project showcase
**Schedule:**
**Schedule:**
- Week 1-2: Identify a few project ideas and plan them out.
- Week 1-2: Identify a few project ideas and plan them out.
- Week 3-4: Start working on projects, focusing on practical applications.
- Week 3-4: Start working on projects, focusing on practical applications.
### Month 6: Advanced Topics and Job Preparation
### Month 6: Advanced Topics and Job Preparation
**Goals:**
**Goals:**
- Explore advanced topics in AI.
- Explore advanced topics in AI.
- Prepare for job applications and interviews.
- Prepare for job applications and interviews.
**Books/Articles:**
**Books/Articles:**
- Advanced research papers on AI
- Advanced research papers on AI
- Articles on AI trends and future directions
- Articles on AI trends and future directions
**Skills/Software:**
**Skills/Software:**
- Advanced Python libraries and tools
- Advanced Python libraries and tools
- Interview preparation platforms (LeetCode, InterviewBit)
- Interview preparation platforms (LeetCode, InterviewBit)
**Schedule:**
**Schedule:**
- Week 1-2: Study advanced AI topics and emerging trends.
- Week 1-2: Study advanced AI topics and emerging trends.
- Week 3: Prepare your resume and portfolio.
- Week 3: Prepare your resume and portfolio.
- Week 4: Practice coding interviews and apply for jobs.
- Week 4: Practice coding interviews and apply for jobs.
### Continuous Learning and Networking
### Continuous Learning and Networking
- Join AI communities (e.g., AI Alignment Forum, Reddit’s r/MachineLearning)
- Join AI communities (e.g., AI Alignment Forum, Reddit’s r/MachineLearning)
- Attend webinars, workshops, and conferences on AI and machine learning
- Attend webinars, workshops, and conferences on AI and machine learning
- Follow influential AI researchers and practitioners on social media platforms
- Follow influential AI researchers and practitioners on social media platforms
By following this structured learning plan, you should be well-prepared to transition into the field of AI prompt engineering within six months. Good luck!
By following this structured learning plan, you should be well-prepared to transition into the field of AI prompt engineering within six months. Good luck!
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