The author suggests that those interested in AI should understand these foundational elements to keep up with the rapid pace of change in the field. They also recommend further reading for those who want a deeper understanding of AI, including technical papers and newsletters. The author plans to add more to the series, addressing practical use cases of AI and companies to follow in the future.
Key takeaways:
- The article provides a glossary of key terms related to artificial intelligence, including AI, Machine Learning, Deep Learning, Neural Networks, Natural Language Processing, Computer Vision, and Artificial General Intelligence.
- The core technologies powering AI include data, computing power, algorithms, modeling, and application interface.
- Large language models like GPT-4 are a key component powering conversational AI, providing the underlying language capabilities leveraged by chatbots and voice assistants.
- For those interested in delving deeper into AI, the article recommends reading certain technical papers and subscribing to Rowan Cheung’s newsletter The Rundown for a high-level perspective on AI.