ChatGPT provides results

Testing alternative solution:

When ChatGPT was asked about what results it had achieved, and how,  it responded:

Here are some key results and statistics related to the development and use of large language models such as ChatGPT:

Large language models like ChatGPT are typically trained on massive amounts of text data, such as books, articles, and websites. For example, the original version of GPT-3, the predecessor to ChatGPT, was trained on a dataset of over 570GB of text.

The development of large language models has led to significant advances in natural language processing (NLP) and has enabled new applications such as chatbots, virtual assistants, and content generation.

The largest and most powerful language model to date is GPT-3, which was released in 2020 by OpenAI. GPT-3 has 175 billion parameters, making it the largest language model by far.

Large language models have shown impressive results in a variety of NLP tasks, such as language modeling, language translation, and sentiment analysis. For example, GPT-3 has been shown to be capable of generating human-like text, completing text prompts, and answering questions with high accuracy.

The development of large language models has raised concerns about ethical and societal implications, such as bias in training data, algorithmic discrimination, and the potential misuse of AI-generated text. It is important to carefully consider and address these concerns as large language models continue to advance.

Large language models require significant computational resources and energy to train and operate. This has led to concerns about the environmental impact of AI, as well as the potential for unequal access to AI technology due to high costs.

Large language models are a rapidly evolving technology, and research and development in this area is ongoing. New models with even larger parameters are currently under development, and it is likely that this technology will continue to advance in the coming years. ...   END