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.…
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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
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
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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
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
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
Gist
Normcore LLM Reads
Normcore LLM Reads. GitHub Gist: instantly share code, notes, and snippets.
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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
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
Gitlab
Machine learning model experiments | GitLab
GitLab product documentation.
nschloe/matplotx: :bar_chart: More styles and useful extensions for Matplotlib
https://github.com/nschloe/matplotx
https://github.com/nschloe/matplotx
GitHub
GitHub - nschloe/matplotx: :bar_chart: More styles and useful extensions for Matplotlib
:bar_chart: More styles and useful extensions for Matplotlib - nschloe/matplotx