The author also discusses the potential of LLMs in coding, the problem of gullibility in AI, and the concept of "Vibes Based Development". The author expresses hope for advancements in these areas in 2024. The author also mentions the lawsuit by the New York Times against OpenAI and Microsoft over unlicensed training data, predicting that the outcome will significantly impact the future development of this technology.
Key takeaways:
- 2023 was a significant year for Large Language Models (LLMs), with advancements in their development and application, and they are now considered a major part of the field of Artificial Intelligence.
- LLMs are relatively easy to build, with the quality and quantity of training data being the most important factor in their effectiveness. They can be run on personal devices and fine-tuned by hobbyists.
- Despite advancements, there are still challenges with LLMs, including their gullibility, the difficulty in evaluating them, and the complexity of their ethical implications, particularly regarding the use of unlicensed data for training.
- Writing code is emerging as one of the most effective applications of LLMs, with their ability to generate and correct code proving to be a significant strength.