metaseq
Repo for external large-scale work (by facebookresearch)
mycroft-core
Mycroft Core, the Mycroft Artificial Intelligence platform. (by MycroftAI)
| metaseq | mycroft-core | |
|---|---|---|
| 53 | 212 | |
| 6,389 | 6,461 | |
| 0.4% | 0.4% | |
| 6.2 | 0.0 | |
| 11 days ago | 17 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
metaseq
Posts with mentions or reviews of metaseq.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-06.
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Training great LLMs from ground zero in the wilderness as a startup
This is a super important issue that affects the pace and breadth of iteration of AI almost as much as the raw hardware improvements do. The blog is fun but somewhat shallow and not technical or very surprising if you’ve worked with clusters of GPUs in any capacity over the years. (I liked the perspective of a former googler, but I’m not sure why past colleagues would recommend Jax over pytorch for LLMs outside of Google.) I hope this newco eventually releases a more technical report about their training adventures, like the PDF file here: https://github.com/facebookresearch/metaseq/tree/main/projec...
- Chronicles of Opt Development
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See the pitch memo that raised €105M for four-week-old startup Mistral
The number of people who can actually pre-train a true LLM is very small.
It remains a major feat with many tweaks and tricks. Case in point: the 114 pages of OPT175B logbook [1]
[1] https://github.com/facebookresearch/metaseq/blob/main/projec...
- Technologie: „Austro-ChatGPT“ – aber kein Geld zum Testen
- OPT (Open Pre-trained Transformers) is a family of NLP models trained on billions of tokens of text obtained from the internet
- Current state-of-the-art open source LLM
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Elon Musk Buys Ten Thousand GPUs for Secretive AI Project
Reliability at scale: take a look at the OPT training log book for their 175B model run. It needed a lot of babysitting. In my experience, that scale of TPU training run requires a restart about once every 1-2 weeks—and they provide the middleware to monitor the health of the cluster and pick up on hardware failures.
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Is AI Development more fun than Software Development?
I really appreciated this log of Facebook training a large language model of how troublesome AI development can be: https://github.com/facebookresearch/metaseq/tree/main/projects/OPT/chronicles
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Visual ChatGPT
Stable Diffusion will run on any decent gaming GPU or a modern MacBook, meanwhile LLMs comparable to GPT-3/ChatGPT have had pretty insane memory requirements - e.g., <https://github.com/facebookresearch/metaseq/issues/146>
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Ask HN: Is There On-Call in ML?
It seems so, check this log book from Meta: https://github.com/facebookresearch/metaseq/blob/main/projec...
mycroft-core
Posts with mentions or reviews of mycroft-core.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-09.
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Rabbit R1, Designed by Teenage Engineering
It's indeed suspicious. You're sending your voice samples, your various services accounts, your location and more private data to some proprietary black box in some public cloud. Sorry, but this is a privacy nightmare. It should be open source and self-hosted like Mycroft (https://mycroft.ai) or Leon (https://getleon.ai) to be trustworthy.
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Finally! Kernel 6.6.6 has been released
Shouldn't this be Mycroft on this sub?
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Mycroft
I was expecting this to be about Mycroft the AI assistant ( https://mycroft.ai/ ).
- Ask HN: Is there any open source/open hardware Echo Dot alike?
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Coral TPU Dev Board for speech-to-text and nvidia agx as host running LLaMA??
But I would recommend writing some proper glue logic in Python and use the socket function for communication. But if you really want to get rid of Alexa, it's probably worth it to set up mycroft.ai or another open source assistant.
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Matter hasn't revolutionized the smart home yet, but AI may be about to change that - the TechRadar article claims most people don't have smart homes, just connected homes.
https://mycroft.ai/ is a sophisticated open source replacement for Siri/Alexa … you can buy their premade hardware version for $399
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Local AI -- A semi-reliable copy of human knowledge that can live in a box in your kitchen
To add home automation, consider something like Mycroft (https://mycroft.ai/)
- Using LLaMA as a "real personal assistant"?
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Show HN: Willow – Open-Source Privacy-Focused Voice Assistant Hardware
This project reminds me of MyCroft https://github.com/MycroftAI/mycroft-core.
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Is Voice AI safe?
Tldr either way it depends, but if it's free, your data is prob the real product. If you don't want to get data mined, check out https://mycroft.ai
What are some alternatives?
When comparing metaseq and mycroft-core you can also consider the following projects:
stable-diffusion - A latent text-to-image diffusion model
rhasspy - Offline private voice assistant for many human languages
nlp-resume-parser - NLP-powered, GPT-3 enabled Resume Parser from PDF to JSON.
Leon - 🧠 Leon is your open-source personal assistant.
GLM-130B - GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)
kalliope - Kalliope is a framework that will help you to create your own personal assistant.
gpt-2 - Code for the paper "Language Models are Unsupervised Multitask Learners"
jasper-client - Client code for Jasper voice computing platform
manim - Animation engine for explanatory math videos
jarvis - Jarvis is a simple IA for home automation with (multi-languages) voice commands written in Python.
cupscale - Image Upscaling GUI based on ESRGAN
J.A.R.V.I.S-project - A decent attempt to recreate J.A.R.V.I.S. from MCU's Iron Man, complete with machine learning (specifically, intent classification) [Moved to: https://github.com/Joe-Lyu/J.A.R.V.I.S-project]