Google’s Simula: To address the scarcity of high-quality training data for specialised fields, Google introduced Simula. Instead of random scraping, it uses a structured taxonomy to map entire domains, generates varied meta-prompts, controls complexity, and employs a dual-critic system to ensure accuracy. This shifts the AI advantage from having the most data to designing the best data.
Is there a link to this? - Ah, never mind, I found one. Designing synthetic datasets for the real world: Mechanism design and reasoning from first principles
“Designing synthetic datasets for the real world: Mechanism design and reasoning from first principles”
@Adix As the site adminstrator, I would ask that when sharing a resource like this that you explain or share more about it’s connection to open education. As is, it reads to me more like product promotion, and typically we would moderate such posts.
Thank you for keeping this in mind.