owl
picoGPT
owl | picoGPT | |
---|---|---|
5 | 7 | |
1,179 | 3,081 | |
0.8% | - | |
8.2 | 1.9 | |
4 days ago | about 1 year ago | |
OCaml | Python | |
MIT License | MIT License |
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owl
- Owl project (OCaml scientific computing) formally concluded
- Understanding Automatic Differentiation in 30 lines of Python
- I Wrote an Activitypub Server in OCaml: Lessons Learnt, Weekends Lost
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Julia 1.6 addresses latency issues
> after some consideration of OCaml, but unfortunately the multi-core story still isn't there yet
It is supposed to land in the release after 4.13, which is the next one.
Regarding the scientific computations library there is Owl[1][2] which now has an almost finished book[3].
[1] https://ocaml.xyz/
[2] https://github.com/owlbarn/owl
[3] https://ocaml.xyz/book/
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A Comparison of Futhark and Dex
The Owl lib for OCaml is pretty interesting
https://github.com/owlbarn/owl
picoGPT
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Understanding Automatic Differentiation in 30 lines of Python
In that case, you might also enjoy https://jaykmody.com/blog/gpt-from-scratch/
(here's the raw code: https://github.com/jaymody/picoGPT/blob/main/gpt2.py)
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Transformers from Scratch
I wrote a minimal implementation in NumPy here (the forward pass code is only 40 lines): https://github.com/jaymody/picoGPT
Although this is for a decoder-only transformer (aka GPT) and doesnt include the encoder part.
- FLaNK Stack Weekly 3 April 2023
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GPT-4 Says an Open-Source Chatbot Vicuna Reaches 90% ChatGPT Quality
Take a look at https://github.com/jaymody/picoGPT/blob/a750c145ba4d09d57648...
Yes, this is GPT-2 not 4 and it‘s not the Chat, only the model and it‘s basically only the inference part, not the training loop and it‘s somewhat simplified.
Still, take a good look.
That‘s essentially what it is and a single sheet of paper.
There is nothing specifically about language in „language model“, we just call it that. Better to call it just LLM.
Nobody knows exactly what it learns, although there would be ways to poke around given some research programs. But it seems like the interest in that is limited currently, everyone is busy with improving it or with applications.
Perhaps the answer is that we overestimated what a mind is. It‘s like we used to ask what life is and it turned out that there is nothing special about life, not even the DNA is controlling anything. It‘s merely a chemical process, even though a complex process.
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u/functor7 explains why AIs like ChatGPT do not "understand" their subject
(The hardest part was just designing a math function that has the capability of getting good at this game, but when all is said and done, it need not be a whole lot of code).
- PicoGPT: An unnecessarily tiny implementation of GPT-2 in NumPy
- picoGPT: An unnecessarily tiny implementation of GPT-2 in NumPy
What are some alternatives?
Octavian.jl - Multi-threaded BLAS-like library that provides pure Julia matrix multiplication
gpt4all - gpt4all: run open-source LLMs anywhere
Arraymancer - A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
glances - Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS and Windows operating systems.
Peroxide - Rust numeric library with R, MATLAB & Python syntax
taskwarrior - Taskwarrior - Command line Task Management
symengine.rs - (Unofficial) Rust wrappers to the C++ library SymEngine, a fast C++ symbolic manipulation library.
ctop - Top-like interface for container metrics
db-benchmark - reproducible benchmark of database-like ops
Tensor-Puzzles - Solve puzzles. Improve your pytorch.
GPU-Puzzles - Solve puzzles. Learn CUDA.
exiftool - ExifTool meta information reader/writer