AI art generated by Microsoft Image Generator.
In the past month or so, I have posted about twelve videos, such as this one.
If you have noticed that the number of blog posts has dropped, the main reason is that the time I used to spend blogging has now become the time I spend doing videos, helping with live classes, consultations, and teaching missionaries and patrons at the BYU Family History Library. Each video takes about eight hours of production time. Most of the videos are available on the BYU Family History Library YouTube channel, although some of them are posted on The Family History Guide website. The total number of my videos on YouTube and the rest of the internet now is something over 400. I have a list of future topics for release that extends well into 2024.
Just for some reference, according to Google's current count, I have posted 6,239 blog posts on Genealogy's Star blog since I began many years ago.
Lately, I have been exploring the possibility of using artificial intelligence to accelerate both my blog posting and my video production. I will be reviewing some of the things I have found as I learn about all the new developments. I am expecting that by using the developments in AI, I will be able to increase the number of videos I do weekly, significantly. If you want to learn about artificial intelligence, here is a suggested list of ways to learn about the subject generated in about 5 seconds from ChatGPT and Microsoft Bing.
Learning about artificial intelligence (AI) is an exciting and rapidly evolving field. Here's a step-by-step guide to help you get started:
Familiarize Yourself with AI Concepts:
Begin by understanding the fundamental concepts of AI, such as machine learning, neural networks, and data analysis. Books like "Artificial Intelligence: A Modern Approach" by Stuart Russell and Peter Norvig provide a solid introduction.
Online Courses and Tutorials:
Enroll in online courses that cover AI topics. Platforms like Coursera, Udacity, and edX offer courses on machine learning and AI. Popular courses include Andrew Ng's "Machine Learning" and "Deep Learning Specialization."
Explore online tutorials and resources, such as TensorFlow's official website, which provides tutorials for building AI models.
Python Programming:
Learn Python, as it is widely used in AI development. Python provides libraries and frameworks like TensorFlow, Keras, and scikit-learn that make AI implementation easier.
Start with introductory courses or tutorials for Python, and gradually progress to libraries and frameworks specifically designed for AI.
Practical Projects:
Gain hands-on experience by working on AI projects. Start with small projects like image classification or sentiment analysis using existing datasets. Websites like Kaggle provide datasets and competitions to enhance your skills.
Join AI Communities:
Engage with AI communities to stay updated and learn from experts. Participate in forums like Reddit's /r/MachineLearning and AI-related discussion groups on LinkedIn. Attend AI conferences and meetups if possible.
Read Research Papers and Blogs:
Dive into research papers to gain insights into cutting-edge AI techniques. Platforms like arXiv and Google Scholar host numerous papers.
Follow AI-focused blogs and newsletters to stay updated with the latest advancements. Some popular ones include "Towards Data Science," "Medium AI," and "OpenAI Blog."
Online Video Content:
Explore YouTube channels dedicated to AI and machine learning. Channels like "Two Minute Papers," "Sentdex," and "Lex Fridman" provide informative videos and interviews with AI experts.
Advanced Topics:
Once you have a solid foundation, you can explore advanced topics like natural language processing, computer vision, reinforcement learning, and generative models.
Remember, AI is a vast field, and continuous learning is essential. Stay curious, practice coding, and work on real-world problems to strengthen your AI skills.
Granted, some of this stuff is more technical than even I want to get into, but what is being generated and currently used to advance genealogical research and my video production is significant.
I haven't closely fact-checked the above quote, but you can assume that anything I use for my own writing or video production will be well fact-checked.
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