In this article, I will simplify concepts related to Artificial Intelligence (AI) language models, specifically GPT-2. Despite the existence of GPT-3, it is too large for regular use. OpenAI’s GPT-2 model has generated controversy and hype. However, it has been published after no evidence of misuse was found so far. This suggests its widespread adoption in various industries, including online gambling, pharma, adult entertainment, and computational propaganda.
GPT-2 models are large but manageable, providing a practical method for generating programatically generated casino reviews. However, larger GPT-2 models may pose challenges due to limited computer resources. The article focuses on using GPT-2 to write casino reviews and achieving coherent text that can rank on Google without being flagged as duplicate content.
The process involves three steps: collecting training data (scraping), training/tuning the language model, and producing the text (decoding). Key terminologies include natural language processing (NLP) tasks, language models, transformer models, and tokenisation.
Given the challenges faced with recurrent neural network (RNN) models, GPT-2 offers innovative solutions using byte pair encoding (BPE) to address out-of-vocabulary words and capitalisation problems. A language model predicts the next token in a sequence, and GPT-3 models are significantly larger than GPT-2 models.
Language models have the potential to change the SEO landscape, as they can generate HTML or Markdown-formatted content. By training and tuning the model using scraped content from dominant casino affiliates, it is possible to learn casino reviews and optimal cross-linking strategies.
Practical tips for outputting articles include using multiple paragraphs and linking them together. The decoder algorithm has quadratic complexity, so longer articles take significantly more time to produce. Producing full casino reviews may not be practical even on high-performance servers.
The fourth step of data processing will be covered in the next issue of InnovateChange Affiliate. The author, Paul Reilly, is a technology enthusiast, speaker, and AI engineer who focuses on the practical uses of AI in the casino affiliate industry.
Paul is the founder of flashbitch.com, a casino reviews website largely generated using AI.
