To add to your comment, Google has been using BERT to power Search since 2019: https://blog.google/products/search/search-language-understa...
I'm going to guess that the only reason they don't use larger models is because of the compute cost. ChatGPT at 4 billion users with today's hardware is an unsustainable business. However, that thought leads me to imagining: if Google offered Search "Premium" using the latest LLMs, how much would people pay for it?
I think they need to solve hallucination problem first, they are already working on optimization eg FLAN-T5 (smaller LLM models same performance) and RETRO (retrieval transformer that can use data index outside of the model) that takes them closer to use it in search.
https://arxiv.org/abs/2212.03827
Raises some ethical issues…
If you mean actual products and not just open sourcing models and code then:
https://cloud.google.com/products/ai
They also implement a lot (the most interesting stuff) of what they publish inside google to power their own products.
You mean NLP field changing models from Google like BERT [1]? or Transformers paper [2]? or T5 model [3] (used by company doing ChatGPT like search currently on the front page on HN)?
1. https://arxiv.org/abs/1810.04805 code+models: https://github.com/google-research/bert
2. https://arxiv.org/abs/2112.04426
3. https://arxiv.org/abs/1910.10683 code+models: https://github.com/google-research/text-to-text-transfer-tra...