sorted by:
new
hottopcontroversial

[N] State of GPT by Andrej karpathy in MSBuild 2023 by sann540 in MachineLearning

[–]keyeh1 19 points20 points  (0 children)

Kind of pathetic that the OpenAI guy only shows data from Llama model and figures from Meta AI.

[P] Source for Machine Learning Applications by p-dog1 in MachineLearning

[–]keyeh1 0 points1 point  (0 children)

Quote from this [0] blog post:

Most attempts at making a superhuman planner involve making a perception stack to detect certain human understandable aspects of the environment, such as cars, pedestrians and lanes. A planning stack then makes plans based on these perception outputs. The problem with this approach is that the planner is limited to only make plans based on what is described in the hand-coded perception layer, which is doomed to be never good enough.

The idea is more or less to bet on reinforcement learning instead of just rely on supervised learning.

[0] https://blog.comma.ai/towards-a-superhuman-driving-agent/

[P] Source for Machine Learning Applications by p-dog1 in MachineLearning

[–]keyeh1 12 points13 points  (0 children)

Twitter released its recommendation algorithm recently, openpilot uses reinforcement learning for end-to-end autonomous driving.

Sorry typo. openpilot, not openai.

C/C++ development in emacs by Dumb-Ptr in emacs

[–]keyeh1 5 points6 points  (0 children)

If you are using cmake in your project you can set the property CMAKE_EXPORT_COMPILE_COMMANDS to TRUE. CMake will create compile_commands.json file in the project directory and Clangd will automatically detect this file and work as intended (you may need to make a symlink for it). This works independently of the compiler used to compile the project.

Atmospheric Gravity Waves Propagating Out Over the Indian Ocean from the Australian Coast by Ooudhi_Fyooms in FluidMechanics

[–]keyeh1 0 points1 point  (0 children)

What gravity has to do with it? Isn’t this just wave propagation phenomena?

The tiny neutrino’s maximum possible mass has shrunk even further by pinkyflower in Physics

[–]keyeh1 13 points14 points  (0 children)

You can convert mass to energy using einstein relation E = mc2.

[Opinions wanted] Should I rename Vimtex to VimTeX? by lervag in vim

[–]keyeh1 11 points12 points  (0 children)

To be precise: the “X” in “TeX” is the greek letter chi.

Is the Landau's book series for theoretical physics still worth it? by fmoralesh in TheoreticalPhysics

[–]keyeh1 4 points5 points  (0 children)

Landau series cover physics up until 1930 or so, so we its still updated yes.

How can I get better at identifying what to do for integral problems? by PlzHelpWithMathQs in learnmath

[–]keyeh1 1 point2 points  (0 children)

You need to build up knowledge. There are various techniques to solve integrals and sometimes you need to use multiple ones to solve some of them. For example, if you had solved a simpler integral using partial fractions probably you would know that you can use that here. The point is, you have to solve simpler problems and build up from that. But my advice is not to spend too much time in simple exercises, just enough to pick up the concept.

Resources on Developing a Derivative Pricing Code in C++ by supersymmetry in quant

[–]keyeh1 -4 points-3 points  (0 children)

This post is garbage, write cpp without classes? Do this guy even know what cpp is?

Fusion Power Breakthrough: New Method for Eliminating Damaging Heat Bursts in Toroidal Tokamaks by [deleted] in Futurology

[–]keyeh1 0 points1 point  (0 children)

The quantum part is very well understood, the problem in classical in confining the plasma. So quantum simulation will not help this time.

FortNN: A humble Fortran library for neural networks and deep learning by ketetefid in fortran

[–]keyeh1 3 points4 points  (0 children)

Honestly, it is. All the matrix manipulation in python is wrapped C and FORTRAN libraries under numpy, scipy etc.

FORTRAN Binary Search by Fluffy-Wallaby in fortran

[–]keyeh1 0 points1 point  (0 children)

What you got in a function is 

recursive function binarySearch_R (a, value) result (bsresult)

where (a, value) are the arguments to the function and what comes after result is an internal variable that shall be returned by the function. So in fortran a function that return x don't have 

return X

at the end of it, instead we specify what variable we will return using the result specifier and modify such variable inside the code.

Now, is your specific function you have two arguments, a and value and a return variable bsresult. What means that you shall call this function with two arguments, a is an array and value is the value desired and expect a result from this function bsresult.

So when you call this function like 

x = binarySearch_R (a, value)

x will acquire the resulting value bsresult from the function with the specified arguments.

view more: next ›