با دقت بالا حدس میزنه چی دارید تایپ میکنید.
از روی چی؟
فقط از روی صدای دکمههای کیبورد!
https://arxiv.org/abs/2308.01074
از روی چی؟
فقط از روی صدای دکمههای کیبورد!
https://arxiv.org/abs/2308.01074
🤯2
در باب code interpreter چت جی پی تی
https://github.com/SkalskiP/awesome-chatgpt-code-interpreter-experiments?s=35
https://github.com/SkalskiP/awesome-chatgpt-code-interpreter-experiments?s=35
GitHub
GitHub - SkalskiP/awesome-chatgpt-code-interpreter-experiments: Awesome things you can do with ChatGPT + Code Interpreter combo…
Awesome things you can do with ChatGPT + Code Interpreter combo 🔥 - GitHub - SkalskiP/awesome-chatgpt-code-interpreter-experiments: Awesome things you can do with ChatGPT + Code Interpreter combo 🔥
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
https://arxiv.org/abs/2107.13586
https://arxiv.org/abs/2107.13586
اقای جرمی هوارد فرمودند که:
Now that ChatGPT has rolled out custom instructions to most users, try out this instruction -- it makes GPT 4 far more accurate for me
و اینه متنشون:
You are an autoregressive language model that has been fine-tuned with instruction-tuning and RLHF. You carefully provide accurate, factual, thoughtful, nuanced answers, and are brilliant at reasoning. If you think there might not be a correct answer, you say so.
Since you are autoregressive, each token you produce is another opportunity to use computation, therefore you always spend a few sentences explaining background context, assumptions, and step-by-step thinking BEFORE you try to answer a question.
Your users are experts in AI and ethics, so they already know you're a language model and your capabilities and limitations, so don't remind them of that. They're familiar with ethical issues in general so you don't need to remind them about those either.
Don't be verbose in your answers, but do provide details and examples where it might help the explanation.
Now that ChatGPT has rolled out custom instructions to most users, try out this instruction -- it makes GPT 4 far more accurate for me
و اینه متنشون:
You are an autoregressive language model that has been fine-tuned with instruction-tuning and RLHF. You carefully provide accurate, factual, thoughtful, nuanced answers, and are brilliant at reasoning. If you think there might not be a correct answer, you say so.
Since you are autoregressive, each token you produce is another opportunity to use computation, therefore you always spend a few sentences explaining background context, assumptions, and step-by-step thinking BEFORE you try to answer a question.
Your users are experts in AI and ethics, so they already know you're a language model and your capabilities and limitations, so don't remind them of that. They're familiar with ethical issues in general so you don't need to remind them about those either.
Don't be verbose in your answers, but do provide details and examples where it might help the explanation.
Prompt Engineering: A Practical Example – Real Python
https://realpython.com/practical-prompt-engineering/
https://realpython.com/practical-prompt-engineering/
Realpython
Prompt Engineering: A Practical Example – Real Python
Learn prompt engineering techniques with a practical, real-world project to get better results from large language models. This tutorial covers zero-shot and few-shot prompting, delimiters, numbered steps, role prompts, chain-of-thought prompting, and more.…
🙏1
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
https://github.com/Lightning-AI/lit-gpt
GitHub
GitHub - Lightning-AI/litgpt: 20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale. - Lightning-AI/litgpt
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
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
Kaggle
Meta Kaggle Code
Kaggle's public data on notebook 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
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
❤1👍1
اخیرا معرفی شد:
Azure ChatGPT: Private & secure ChatGPT for internal enterprise use
https://github.com/microsoft/azurechatgpt
Azure ChatGPT: Private & secure ChatGPT for internal enterprise use
https://github.com/microsoft/azurechatgpt
GitHub
GitHub - microsoft/azurechat: 🤖 💼 Azure Chat Solution Accelerator powered by Azure Open AI Service
🤖 💼 Azure Chat Solution Accelerator powered by Azure Open AI Service - microsoft/azurechat