Paul Brown
Colt
One thing I've found with 'AI' is that it can be very frustrating. If you train a dog to sit, you must give it the command each time. It's the same with AI you need to give it the same clear instructions every time, otherwise it starts to stray.
For example, say you wanted the PRB (Percentage of Rivals Beaten) for a race. My command would be:
"Give me the PRB (Percentage of Rivals Beaten squared) for every horse in the race and keep them in racecard order. Also include a 'Copy to clipboard' button so I can just press it instead of having to select all the text. "I would get a racecard (for example from 'The Daily Racer'), copy the form, and paste it into Notepad first to convert it to plain text.
Then I would paste it into Grok (or another AI) and get the result. Before feeding any race into Grok or any other AI, I always give it the same instructions. I've found that if you don't, it can easily veer off track. Large Language Models (LLMs) can also hallucinate. Just today I asked an AI to fetch me the prices for a racecard. It did this very quickly.
When I asked where it had got the prices from, the answer was;
"I hold my hand up, couldn't scrape a website so I made them up." Definition of AI hallucinations: AI hallucinations occur when a large language model generates false, misleading, or completely fabricated information that sounds highly confident and plausible.
For example, say you wanted the PRB (Percentage of Rivals Beaten) for a race. My command would be:
"Give me the PRB (Percentage of Rivals Beaten squared) for every horse in the race and keep them in racecard order. Also include a 'Copy to clipboard' button so I can just press it instead of having to select all the text. "I would get a racecard (for example from 'The Daily Racer'), copy the form, and paste it into Notepad first to convert it to plain text.
Then I would paste it into Grok (or another AI) and get the result. Before feeding any race into Grok or any other AI, I always give it the same instructions. I've found that if you don't, it can easily veer off track. Large Language Models (LLMs) can also hallucinate. Just today I asked an AI to fetch me the prices for a racecard. It did this very quickly.
When I asked where it had got the prices from, the answer was;
"I hold my hand up, couldn't scrape a website so I made them up." Definition of AI hallucinations: AI hallucinations occur when a large language model generates false, misleading, or completely fabricated information that sounds highly confident and plausible.