Speaker:
Dr
Cristiano Sabiu
(University of Seoul)
- Estimating the General N-point Statistics
- Query for N-point
- All 'pairs' (w/ distances) are precomputed.
- N-point exact counting.
- I.e. No approximation
- The majority of the time is taken in binning in high-dimension.
- N(r_(1-2)) = Fast binning! Combinitronics(we know all the combinations!)
- N(r_(3-4)) = Slower binning Need to search the database
- Graph Query (Disconnected Part)
- To bin the N-point measurement we need the distance between disconnected galaxies (point).
- Database Entry for Galaxy 265
- (Distance, Unique ID)
- (13, 342)
- (17, 620)
- (14, 3675) → New method : Divide-and-Conquer
- (..., ...)
- (7, 13465)
- Generative Pre-trained Transformer 3 (GPT-3) is an autoregressive language model that uses deep learning to produce human-like text.
- GPT-3's full version has a capacity of 175 billion machine learning parameters (10x more than any previous model).
- Back to the N-points : How much faster can we make this?
- When the number of data points reaches 500000, the speed of new is about twice as fast as the old.
