rassibassi

11 ms·

1.
by rassibassi 2y ago
CFG (context free grammar), which is explained in the book, is used here together with LLMs: https://tree-diffusion.github.io
2.
by rassibassi 2y ago
In this context, RAG isn't what's being discussed. Instead, the reference is to a process similar to monte carlo tree search, such as that used in the AlphaGo algorithm. Presently, a large language model (LLM) uses the same amount
3.
by rassibassi 3y ago
The diskcache docs state: """ Caching Libraries joblib.Memory provides caching functions and works by explicitly saving the inputs and outputs to files. It is designed to work with non-hashable and potentially large inp
4.
by rassibassi 3y ago
What's the difference to using joblibs Memory class similar to this implementation: https://github.com/stanfordnlp/dspy/blob/main/dsp/modules/ca...
5.
by rassibassi 3y ago
If I understand you correctly, you basically mean some interpolation of knowledge within Z, that was not known to humans before, but can be synthesized by recombination of information within Z. Yet, that still means, knowledge of O cannot b
6.
Ask HN: Given the Data Processing Inequality, Can LLMs Produce Novel Knowledge?
4 points by rassibassi 3y ago|3 comments
7.
by rassibassi 4y ago
The upper bound is still the Shannon limit. The experiment does a lot of multiplexing: spatial multi-core fiber, spectral multi channel multiplexing across wavelength, dual polarization. Each of the multiplexed channels are individually lim
8.
by rassibassi 4y ago
Not practical yet, the novelty is the frequency comb which allows +200 channels across wavelength with only a single laser, where before one required 200 lasers. In an experiment like this, only the initial light source is modulated and the
9.
by rassibassi 4y ago
They also multiplex across +200 channels across wavelength (wavelength division multiplexing). Not sure what the baud rate of a single channel was in their experiment but probably between 32-80Gb which is common for the lab equipment at Uni
10.
by rassibassi 4y ago
Correction: the auto encoder is pre-trained :)
11.
by rassibassi 4y ago
Yes, and another reason for the small model size and the novelty of the underlying paper [1], is that the diffusion model is not acting on the pixel space but rather on a latent space. This means that this 'latent diffusion model'
12.
by rassibassi 4y ago
Don't be so hard on yourself, and don't compare yourself to a computer science prodigy. You can teach yourself to become a decent web developer in 1 year and take it from there, your life is far from being wasted in any sense.
13.
by rassibassi 4y ago
Nice, saw you also have a section on fonts! Think the following could make you smile, too. Checkout this font that changes with the users facial expression (shameless plug): Description: https://danishdesignaward.com/en&#x2F
14.
Homo Informaticus, from Plato and Aristotle to Alan Turing and Claude Shannon(philosophynow.org)
29 points by rassibassi 6y ago|1 comments
15.
by rassibassi 6y ago
tribute radio show :) https://www.nts.live/shows/the-do-you-breakfast-show/episode...
16.
by rassibassi 6y ago
Nice documentary on schiele https://www.arte.tv/en/videos/073077-000-A/egon-schiele/
17.
by rassibassi 6y ago
Friend of mine created a parameterised font for his master thesis. We hooked it up to a face expression sentiment analyser (pre trained DNN). It works in the browser with your webcam, better to use a laptop or pc :) http://facety
18.
by rassibassi 6y ago
Had similar intentions half a year ago, it really clicked for me after watching the linear dynamical systems lecture by Boyd. How rank of a matrix, matrix norm and singular values relate was an eye opener. Thereafter it was easy to connect
19.
by rassibassi 7y ago
Nice video lecture series by scot https://video.ethz.ch/speakers/bernays/2019/7b11b50e-f813-4d...
20.
BlackRock – Investors That Rule the World(arte.tv)
1 points by rassibassi 7y ago|0 comments
21.
by rassibassi 7y ago
I agree that the smartphone could potentially be leveraged to do some audio processing in this context, but you have to consider the latency introduced by the forth and back over bluetooth. Not sure if such latency is a pleasent experience
22.
by rassibassi 7y ago
We are also in Denmark! Feel free to reach out if you're living in Copenhagen :) https://www.hackyourfuture.dk/
23.
by rassibassi 7y ago
Support for 4! Yet, my understanding is that particle filters are superior but computational more demanding. For nonlinear problems, the extended Kalman Filter linearizes the task, whereas particle filters don't and work with many poin
24.
by rassibassi 8y ago
I received my PhD in December, so I already pursued further education. My masters was in telecommunications, starting my PhD with a background in signal processing/information theory rather than optics/physics. All the master stud
25.
by rassibassi 8y ago
Recent graduate in Optical Communications here :) 1) The fiber is pretty thin, but there are several fibers combined in one transoceanic cable, see here https://en.wikipedia.org/wiki/Submarine_communications_cable . The
26.
by rassibassi 8y ago
Cuddle my girlfriend, we became pretty good at it so far
27.
by rassibassi 8y ago
> changed my perspective on research could you elaborate on that? pro research or against?
28.
by rassibassi 8y ago
I'm about to finish my PhD in the field of optical communications and applied machine learning to increase the data rate. More specifically, I used an autoencoder with an embedded fiber channel model, to learn something called a geomet
29.
by rassibassi 10y ago
http://dtu-dsp.github.io/Robochameleon/htmldoc/html/index.ht...
30.
Show HN: Robochameleon – simulation and analysis of optical comm. systems(github.com)
2 points by rassibassi 10y ago|1 comments

More ›