DPC2023: Making PHP Smarter: Introducing AI into PHP Applications

Discover how to introduce AI into PHP applications, understanding the benefits and limitations of AI models, and learn about popular platforms and techniques for harnessing their power.

Key takeaways
  • AI models are not perfect and may return incorrect or incomplete results.
  • To make AI more effective, you need to understand how it works and how to use it correctly.
  • There are different types of AI models, including large language models (LLMs) and fine-tuned models.
  • LLMs are good at making complex decisions, but may not always provide accurate results.
  • Fine-tuning a model with your own data can improve its accuracy.
  • There is a limit to how much data you can feed an LLM, and it can take a long time to process large amounts of data.
  • You need to be aware of the cost of using AI models, as they can be expensive.
  • OpenAI and HuggingFace are two popular platforms that provide access to AI models.
  • The cost of using AI models is decreasing, making them more accessible to developers.
  • Prompt engineering is the process of designing the perfect prompt to get the desired result from an AI model.
  • The results from AI models can be biased towards the data they were trained on.
  • There are different ways to access AI models, including through APIs and plugins.
  • AI models are not yet fully understandable and may not always provide transparent results.
  • There are different types of AI applications, including chatbots, sentiment analysis, and language translation.

Note: I have summarized the main points from the transcript, removing unnecessary information and rephrasing some sections to make it easier to read.