شبکه داستانی عصبی – Telegram
شبکه داستانی عصبی
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اینجا راجع به چیزایی که دوست دارم صحبت می‌کنم: داستان، هوش مصنوعی، موسیقی، نرم‌افزار، هنر، روانشناسی و ... :)

اگه خواستید صحبت کنیم خیلی خوشحالم می‌کنید:
@alimirferdos
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Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.


https://github.com/Lightning-AI/lit-gpt
We’re excited to announce Meta Kaggle for Code a new open source dataset made up of ML code created and publicly shared by Kaggle’s community.

It contains hundreds of thousands of Apache 2.0 licensed Python and R notebooks used to analyze Datasets, make submissions to Competitions, and more. This represents nearly a decade of data spanning a period of tremendous evolution in the ways ML work is done.

https://www.kaggle.com/datasets/kaggle/meta-kaggle-code
چند وقت پیش یه مقاله باحالی اومده بود که یه سری کرکتر با چت جی پی تی (اگر اشتباه نکنم) درست کرده بودند و توی یه محیط مجازی ساخته شده مثل بازی گذاشته بودند که خودشون با خودشون کار کنن و تعامل اجتماعی داشتند! مثل ایده وست ورلد!
مثلا با هم دوست شدند و هم رو مهمونی دعوت کردند و اینا.

اخیرا پیاده‌سازی رو اپن سورس کردند

The famed Stanford Smallville is officially open-source!

25 AI agents inhabit a digital Westworld, unaware that they are living in a simulation. They go to work, gossip, organize socials, make new friends, and even fall in love. Each has unique personality and backstory.

Smallville is among the most inspiring AI agent experiments in 2023. We often talk about a single LLM's emergent abilities, but multi-agent emergence could be way more complex and fascinating at scale. A population of AI can play out the evolution of an entire civilization.

Endless new possibilities ahead. Gaming will be the first to feel the impact.

Github: github.com/joonspk-resear
Paper: arxiv.org/abs/2304.03442
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این چه ساز باحالی عه 🤩😻
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نههههه!!! 😳😳😳😳
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Anti-hype LLM reading list
Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts and experience preferred (super rare at this point).


https://gist.github.com/veekaybee/be375ab33085102f9027853128dc5f0e
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ایول

gitlab now integrates with MLflow! Organizations can track the many versions of their ML models within the GitLab user interface, using the opensource MLFlow.

https://docs.gitlab.com/ee/user/project/ml/experiment_tracking/#machine-learning-model-experiments