In a recent interview, Jeff Dean discussed the potential of merging Google Search with in-context learning techniques used in large language models. He acknowledged the strengths and limitations of current models, particularly their tendency to hallucinate and have factuality issues despite being trained on vast amounts of data. Dean emphasized that while Google Search leverages an extensive internet index, its shallow search capabilities could be enhanced by incorporating the deeper understanding provided by in-context learning. This could lead to more accurate, relevant responses.
One of the things you see with these models is they're quite good, but they do hallucinate and have factuality issues sometimes.
If you think of Google Search, it's got the entire index of the internet in its context, but it's a very shallow search.
#google-search #in-context-learning #artificial-intelligence #language-models #information-retrieval
Collection
[
|
...
]