picoGPT
lazydocker
picoGPT | lazydocker | |
---|---|---|
7 | 75 | |
3,081 | 33,427 | |
- | - | |
1.9 | 6.8 | |
about 1 year ago | 10 days ago | |
Python | Go | |
MIT License | MIT License |
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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
lazydocker
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Ask HN: Interesting TUIs (text user interfaces), maybe forgotten ones?
lazydocker [0] is by the same author as lazygit. I'm thoroughly familiar with the Docker CLI, but sometimes it's just easier to use a GUI or TUI for some things. In particular, I use lazydocker for cleaning up volumes or images that may no longer be needed.
[0] https://github.com/jesseduffield/lazydocker
- Cómo instalar Docker CLI en Windows sin Docker Desktop y no morir en el intento
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Organizing Multiple Git Identities
I use podman containers with lazydocker. https://github.com/jesseduffield/lazydocker That way my work is a bit more separated. Good tips.
- Lazydocker a lazier way to manage everything Docker
- Lazydocker
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Dockerizing Your Node.js Application
To better and easier manage our containers, I use Lazydocker; For an explanation of the tool and how to install it, you can read my previous article where I explain how to install and manage Lazydocker in Ubuntu Windows Development Environment.
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Portainer kind of screwed me after updating a container -- Any other alternatives to managing your containers?
There's the lazydocker TUI for quick and easy status/logs.
- Lazydocker: The lazier way to manage everything Docker
- Working with Docker Containers Made Easy with the Dexec Bash Script
- New to Docker, looking for suggestions.
What are some alternatives?
gpt4all - gpt4all: run open-source LLMs anywhere
oh-my-posh - The most customisable and low-latency cross platform/shell prompt renderer
glances - Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS and Windows operating systems.
docker-swarm-visualizer - A visualizer for Docker Swarm Mode using the Docker Remote API, Node.JS, and D3
taskwarrior - Taskwarrior - Command line Task Management
Whaler - Program to reverse Docker images into Dockerfiles
ctop - Top-like interface for container metrics
Portainer - Making Docker and Kubernetes management easy.
Tensor-Puzzles - Solve puzzles. Improve your pytorch.
ohmyzsh - 🙃 A delightful community-driven (with 2,300+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
exiftool - ExifTool meta information reader/writer
k9s - 🐶 Kubernetes CLI To Manage Your Clusters In Style!