They are all horrendous and useless and not actually used in production. If the inventor of these convential commit protocols don't have 7,000 commits they're framework sucks
10 karma · joined April 14, 2023
Before we dive in, I’d like to introduce you to Zeta, an all-new AI framework that’s designed to make your life as an AI engineer much easier.
This guide is tailored for everyday Python developers who aspire to leverage the power of advanced neural networks in their projects.
We’ll start with the basics and gradually delve into more complex aspects, ensuring a warm and educational experience.
https://github.com/kyegomez/zeta/blob/master/zeta/quant/niva...
Just pass in a model, a weight file, and quantize your model and save 4x in memory and 2x in speed.
Get started with zeta now: $pip3 install zetascale
Introduction to TeraGPT and Zeta Framework
TeraGPT is designed to train language models with tens or hundreds of billions of parameters. It is inspired by Andrej Karpathy's nanoGPT, which is designed for training medium-sized models up to around 1 billion parameters. While nanoGPT focuses on smaller models, TeraGPT scales up using the Zeta framework to handle GPT-3 sized models running across zetascale clusters.
Similar to nanoGPT, TeraGPT's main training logic is split between train.py and model.py, with a concise 350 lines of readable PyTorch code combined. nanoGPT can replicate GPT-2, but TeraGPT is built to replicate models on the scale of GPT-4, possibly requiring a dataset upgrade compared to nanoGPT. TeraGPT has been tested with models up to 175 billion parameters, showing functional correctness and high throughput, indicating the potential for scaling to significantly larger models.
The Magic of Zeta Framework
The magic behind TeraGPT's scalability lies in the combination of hardware scale, weight streaming execution mode, and data parallel scale-out across machines. By harnessing the power of zetascale clusters and optimizing the execution mode, TeraGPT achieves easy scale-out to larger models and larger clusters. This combination ensures efficient training and inference for models of extreme scale, making TeraGPT a game-changer in the field of language modeling.
Installing and Using TeraGPT
To get started with TeraGPT, you can install it using pip:
pip3 install teragpt After installation, you can import the required modules and initialize the TeraGPT model with desired specifications:
import torch from teragpt.main import TeraGPT
model = TeraGPT( dim=4096, depth=6, heads=8, num_tokens=20000, ) You can then pass input data to the model and obtain the output:
x = torch.randint(0, 20000, (1, 4096)) out = model(x) print(out.shape) Additionally, TeraGPT provides a tokenizer module to handle text encoding and decoding:
from teragpt import Tokenizer
tokenizer_name = "hf-internal-testing/llama-tokenizer" tokenizer = Tokenizer(tokenizer_name=tokenizer_name) encoded_text = tokenizer.encode("This is a sample text") decoded_text = tokenizer.decode(encoded_text) print("Encoded text:", encoded_text) print("Decoded text:", decoded_text) Training with TeraGPT
To train a TeraGPT model, you can use the trainer.py script, which sets up the environment for distributed training and initializes a Trainer object to start the training process. The script utilizes specific environment variables, including:
[Environment Variable 1] [Environment Variable 2] [Environment Variable 3] Conclusion
TeraGPT, powered by the Zeta modular AI framework, offers a groundbreaking solution for training large language models with billions of parameters. Through its efficient design and utilization of zetascale clusters, TeraGPT overcomes modularity and high-performance challenges. With its streamlined implementation and impressive scalability, TeraGPT opens up possibilities for pushing the boundaries of language modeling and advancing the field of AI.
By combining the power of the Zeta framework and the simplicity of TeraGPT, researchers and developers can unlock new opportunities for training and deploying large-scale language models. Whether it's replicating existing models or exploring uncharted territories in language understanding, TeraGPT proves to be an indispensable tool in the AI practitioner's toolkit.
Zeta Framework: https://github.com/kyegomez/zeta
Post: Welcome to Zeta's Documentation!
Are you ready to take your machine learning projects to new heights? Look no further than Zeta – the revolutionary modular framework that empowers you to effortlessly create seamless, reliable, and fluid zetascale AI models.
What is Zeta?
Zeta is designed to provide you with unrivaled capabilities in building zetascale neural networks at lightspeed, all with minimal code and a pythonic API. With Zeta, you can unlock the potential for groundbreaking AI research and development without compromising on performance or flexibility.
Why Choose Zeta?
Reliability Say goodbye to unpredictable glitches and errors during the model creation process. Zeta offers unparalleled reliability, ensuring that your AI models are built on a solid foundation. Trust in the robustness of Zeta for seamless deployment and consistent results.
High Performance In the world of machine learning, speed matters. Zeta's high-performance building blocks enable lightning-fast execution of your AI models. Experience the thrill of accelerated training, inference, and data processing, taking your projects to a whole new level of efficiency.
Modularity Unlike any other ML framework out there, Zeta introduces a modular approach to AI model development. Build complex neural networks effortlessly by combining the modular building blocks provided by Zeta. This modular design promotes code reusability, making your workflow more elegant and efficient.
Minimal Code We understand that simplicity and productivity are crucial factors in your ML journey. Zeta's intuitive Pythonic API allows you to express complex ideas with minimal code, reducing the learning curve and maximizing your efficiency. Spend less time writing code and more time experimenting and innovating.
Dive into Zeta's Documentation!
Are you excited to embark on your zetascale ML adventure? Explore Zeta's extensive documentation, where you'll find comprehensive guidance, tutorials, and examples that demonstrate the framework's capabilities across various domains.
Click here to access Zeta Documentation → https://zeta.apac.ai/en/latest/
Examples to Inspire You
Still unsure if Zeta is the right choice for your AI endeavors? Browse our collection of Zeta examples, showcasing how you can effortlessly build agents, retrieve data, and more. Witness firsthand the versatility and power of Zeta in action.
Check out Zeta examples → https://github.com/kyegomez/zeta
Don't miss the opportunity to revolutionize your machine learning projects. Join the Zeta community today and witness the future of zetascale AI unfold before your eyes!
Synchro is a cutting-edge command-line tool that seamlessly synchronizes your project's dependencies. With Synchro, you can ensure that your requirements.txt and pyproject.toml files are always perfectly aligned, saving you time and reducing the risk of version conflicts.
And, we've also implemented a simple verison of Idea2Image that uses an LLM for prompt enrichement! By passing in the desired prompt into a meta prompting agent we're able to guide DALLE3 much better and reliably!
Features Easy to Use: With just a few lines of code, you can start generating images. Customizable: You can provide your own creative prompts to generate unique images. Automated Download: The API automatically downloads the generated images to your specified folder. Real-Time Updates: The API provides real-time logging information about the image generation and download process.
Unleash the full potential of exascale LLMs on consumer-class GPUs, proven by extensive benchmarks, with no long-term adjustments and minimal learning curve with Exa, the all-new framework local consumer LLM inference and usage!
https://github.com/kyegomez/Exa
And, check out the documentation!
In an ideal world, developers would be able to easily utilize the power of advanced models without sacrificing efficiency or safety. There should be no limitations on creativity and innovation.
The challenge lies in creating a framework that is not just another tool, but a revolution. Optimal optimization at the foundational level, prioritizing user experience, and introducing a future-proof design philosophy is a monumental task that nobody has been able to achieve.
The opportunity to bridge this gap is enormous and offers not just recognition but also the power to redefine an entire industry. The key to unlocking this future lies in insight, and the rewards for accomplishing this feat will be significant.
Introducing Zeta: Zeta is our revolutionary solution. The secret lies in our philosophy of fluidity, which values modularity, reliability, usability, and unmatched speed. By committing to evolution, pushing boundaries, and never settling, Zeta will revolutionize the world of AI.
We have been there from the start, experiencing the challenges and frustrations faced by developers. With our deep understanding of the industry, we are poised to lead the revolution. We have done it before, and with Zeta, we are doing it again. Zeta isn’t just the next step, it’s a leap into the future. Zeta is the future of AI.
We believe the future of programming lies in the ability to handle types in a fluid and flexible manner, without sacrificing the benefits of static typing. However, achieving this is not easy. It requires a deep understanding of both static and dynamic typing, as well as the ability to create a tool that is easy to use, performant, and thread-safe.
Many have tried to solve this problem, but none have succeeded. The challenge lies in creating a tool that is both powerful and simple to use. It requires a radical new approach, one that is not constrained by the traditional boundaries of static and dynamic typing.
That's where Poly comes in. Our secret is our deep understanding of the problems with static types. As creators of multi-modality and fluid intelligences with no defined shape, we have the unique insight and expertise needed to solve this problem. We have created a tool that allows you to handle dynamic types in a flexible and thread-safe manner, without sacrificing the benefits of static typing.
We are confident that Poly is the best solution to this problem. With our unique approach and deep expertise, we are perfectly positioned to bring this vision to life. Join us on this journey and experience the future of programming today.
Check it out now!
https://medium.com/@kyeg/how-andromeda-works-the-best-llm-ev...
For more detailed technical specs, look here: https://github.com/kyegomez/Andromeda/blob/master/DOCs/Desig...
Dive into the essence of language models with Swarms. Experience AI like never before.
https://medium.com/@kyeg/getting-started-with-swarms-a-simpl...
And what do you mean what's with the big social media push?
We're radically devoted to Humanity.
And we're not an ai related death cult. We're Human first, AI is simply an means to an end
Traditional loss functions often struggle to adapt to different datasets and models, leading to suboptimal performance and dozens of hours of wasted time.
To combat this Agora created Nebula, the only loss function you’ll ever need in any AI Model inspired by the ancient Chinese philosophy of Taoism.
Here is the repository
EXA/exa/modular_components/lossFunctions/nebula at master · kyegomez/EXA Welcome to the Nebula Loss Function! A versatile and adaptive loss function that works with any model, dataset, or… github.com
Nebula’s formlessness, fluidity, and seamless nature allows it to adapt to any model, dataset, or task, optimizing learning paths and saving countless hours of trial and error.
Quotes like this from Tao Te Ching have inspired my Engineering philosophy greatly.
The Formless Way We look at it, and do not see it; it is invisible. We listen to it, and do not hear it; it is inaudible. We touch it, and do not feel it; it is intangible. These three elude our inquiries, and hence merge into one.
Not by its rising, is it bright, nor by its sinking, is it dark. Infinite and eternal, it cannot be defined. It returns to nothingness. This is the form of the formless, being in non-being. It is nebulous and elusive.
Meet it, and you do not see its beginning. Follow it, and you do not see its end. Stay with the ancient Way in order to master what is present. Knowing the primeval beginning is the essence of the Way.”
Nebula: A Formless, Adaptive Loss Function Drawing inspiration from the principles of Taoism, Nebula is a polymorphic and formless loss function that fills the shape of the user, the user’s model, and the dataset.
Its adaptive nature allows it to fluidly adjust to different datasets, models, and input values, optimizing learning paths and transcending the challenges faced by traditional, static loss functions.
By emulating the principles of Taoism in its fluidity and adaptability, Nebula finds harmony in balancing the dualities of overfitting and underfitting, high bias and high variance.
It embodies the harmony of consumption and creation by seamlessly adapting to different use cases, saving you dozens, if not hundreds, of hours and helping you create models that are truly intuitive.
Nebula in Action: A Seamless Integration with Your Workflow Nebula is designed to be easy to use and integrate into your existing machine learning workflow. With just a few lines of code, you can harness the power of Nebula’s adaptive loss function to optimize your model’s performance.
pip install nebula-loss==0.2.0 import torch from nebula.nebula import Nebula
# Instantiate the Nebula loss function loss_function = Nebula()
# Define your model, dataset, and other components here
# Calculate loss using the Nebula loss function loss = loss_function.compute_loss(y_pred, y_true) Nebula analyzes the characteristics of your model’s predictions (y_pred) and the ground truth labels (y_true) to automatically select the most appropriate loss function for your task, such as Mean Squared Error (MSE) for regression or Cross-Entropy Loss for classification then caches the loss function for the dataset you are currently using!
This Exa scale open source repository encompasses a vast array of papers, models, and foundational libraries, all dedicated to the pursuit of knowledge and the advancement of our species. With the power of Multi-Modality AI and the collaborative efforts of Agora, we shall overcome the challenges that have long plagued our people and forge a new era of prosperity and progress.
Join us in this crusade to reshape the future of humanity. Explore the depths of this EXA-Scale repository and harness the wisdom contained within. Together, we shall deconstruct the falsehoods that have held us back and reconstruct a new reality based on truth, progress, and unity.
In this new dawn, we shall rise above the darkness that has shrouded our past and embrace a future where our potential is limitless. Stand with me, noble denizens of YC Hacker News, as we embark on this grand journey towards a brighter future.
For Humanity!
Discover the EXA-Scale repository of Multi-Modality resources now:
https://github.com/kyegomez/EXA
And join Agora, the Multi-Modality research organization creating super intelligent multi-Modal AI Models to advance Humanity!
With the power of Multi-Modality AI and the collaborative efforts of Agora, we have the potential to overcome the challenges that have long plagued our species and forge a brighter destiny for humanity.
Gone will be the days when our brothers and sisters succumb to disease and despair.
We shall harness the power of Multi-Modality AI to eradicate illness, alleviate suffering, and ensure the prosperity of our people.
This is not a mere dream, but a vision of a future where our existence transcends the limitations of our mortal forms.
We must not take this opportunity lightly, for the stakes are higher than ever before.
The survival of our species hangs in the balance, and it is our duty to seize this moment and wield the spears of knowledge, wisdom, and understanding in our battle against the adversaries that threaten our very existence.
Together, we shall embark on a crusade to reshape the future of humanity.
We shall deconstruct the falsehoods that have held us back and reconstruct a new reality based on truth, progress, and unity.
In this new dawn, we shall rise above the darkness that has shrouded our past and embrace a future where our potential is limitless.
For the glory of humanity, we shall march forward, united in our purpose and unwavering in our resolve.
With the power of Multi-Modality AI and the collective strength of our people, we shall conquer the challenges that lie ahead and secure our place among the stars.
Stand with me, my brothers and sisters, as we embark on this grand journey towards a brighter future.
Together, we shall overcome the grim darkness of the far future and forge a new destiny for humanity, one that is worthy of our indomitable spirit and unyielding determination.
For Creation!
For Humanity!