A New Era of NovelAI Begins Now

NovelAI
23 May 202305:21

TLDRThe video introduces a new era for NovelAI with the addition of painting to image generation and the launch of Cleo, a custom-made AI model developed in-house. Cleo, trained on 1.5 trillion tokens, boasts a Lambada score of 73%, surpassing other models of similar size. With an 8192 token context and a compact 3 billion parameters, Cleo signifies the company's progress and serves as a proof of concept. While still experimental, Cleo is available for Opus subscribers to test, with wider availability expected in two weeks. The team thanks their audience for their patience and teases more exciting developments to come.

Takeaways

  • 🎨 Painting is being integrated into image generation, offering a new creative tool for users.
  • 🐶 A cute dog is used as a visual distraction while discussing the shift from text to image generation.
  • 🖼️ Image-to-image interface allows users to modify images by adding or replacing elements.
  • 📅 The official release of the painting feature is scheduled for two days from the date of the transcript, on a Thursday.
  • 🚀 Two new V2 modules are being introduced for Sigurd and Andrew, enhancing text generation capabilities.
  • 🤖 Cleo, a custom-made model developed in-house, is introduced as a significant advancement in AI technology.
  • 🧠 Cleo has been trained from scratch with a custom tokenizer and a 6-terabyte pre-trained dataset.
  • 📚 Trained on 1.5 trillion tokens, Cleo boasts a high level of general knowledge and outperforms other models.
  • 🏆 Cleo achieved a Lambada score of 73 percent, surpassing similarly sized models during fine tuning.
  • 🔢 With an 8192 token context, Cleo provides a significant increase in the amount of context it can process.
  • 🔧 Cleo is a 3-billion-parameter model, representing a proof of concept for the company's ability to train large language models.
  • 🔍 While Cleo is still experimental, Opus subscribers will have early access, with a wider release planned for two weeks later.

Q & A

  • What is the main announcement regarding image generation?

    -The main announcement is the introduction of painting to image generation, which allows users to modify and enhance images through an image-to-image interface.

  • What new modules are being introduced for text generation?

    -Sigurd and Andrew Terpy are getting brand new V2 modules, which are complete replacements to the original modules with several new ones added.

  • What is significant about the new model Cleo?

    -Cleo is the first custom-made model created entirely in-house, trained from scratch with a custom tokenizer, 6 terabyte pre-trained data set, custom fine tune, and a custom pre-trained model. It is designed to excel in storytelling.

  • How many tokens of data has Cleo been trained on?

    -Cleo has been trained on 1.5 trillion tokens of data.

  • What is Cleo's Lambada score and how does it compare to other models?

    -Cleo's Lambada score is 73 percent, which is better than any other similarly sized model and surpasses the evaluations of Creek.

  • What is the token context length of Cleo?

    -Cleo features an 8192 token context length.

  • How many parameters does Cleo have?

    -Cleo has 3 billion parameters.

  • What is the purpose of Cleo as a proof of concept model?

    -Cleo serves as a proof of concept to demonstrate the team's ability to train a large language model, finalize training processes, fix dataset issues, and smooth out any challenges before moving on to larger models.

  • Who will have access to Cleo first and why?

    -Opus subscribers will have access to Cleo first to play with it and help iron out any last issues, as Cleo is still somewhat experimental.

  • When will Cleo be available to the general public?

    -Cleo will be available to the general public in two weeks.

  • What does the team have planned for the future?

    -The team has more exciting developments planned for the year and is currently training much larger models, with more details to be shared in the future.

  • How can the audience stay updated with the latest developments?

    -The audience can stay updated by following the team's announcements and subscribing to their services, such as Opus.

Outlines

00:00

🎨 New Developments in AI Image and Text Generation

The speaker begins by addressing the audience and quickly moves on to announce exciting updates in the field of AI. The introduction of painting to image generation is mentioned, which is a significant shift from text generation. The audience is encouraged to look at a cute dog as a distraction while the speaker teases the upcoming features. The main focus is on the release of new modules for Sigurd and Andrew, which are of the V2 variety, indicating a substantial upgrade. The speaker also introduces Cleo, a custom-made AI model developed in-house. Cleo is highlighted for its extensive training on 1.5 trillion tokens of data, leading to a high level of general knowledge and superior performance compared to existing models, as evidenced by its Lambada score of 73 percent. The model also boasts an impressive 8192 token context within a compact 3 billion parameters package. Cleo serves as a proof of concept, showcasing the team's capability to train large language models. While still experimental, Cleo is made available to Opus subscribers for testing, with a wider release expected in two weeks. The speaker expresses gratitude to the audience for their patience and support.

05:00

🚀 Upcoming Features and Subscriber Engagement

The speaker teases that there are even more exciting features and developments planned for the year, expressing hope that the audience shares in the excitement. The mention of Opus subscribers getting first access to new features suggests a tiered approach to releasing updates, which could be a strategy to gather initial feedback and ensure a smooth rollout for the broader user base. The paragraph concludes with a musical interlude, adding a light-hearted touch to the anticipation of future advancements.

Mindmap

Keywords

💡Image Generation

Image Generation refers to the process of creating or synthesizing images from data, often using artificial intelligence. In the context of the video, it is mentioned as an upcoming feature that the team is integrating, which is significant as it deviates from their usual text generation focus.

💡Text Generation

Text Generation is the creation of textual content using artificial intelligence. It is the primary focus of the video, with the speaker discussing new modules and improvements to their existing text generation capabilities.

💡Modules

In the context of the video, modules refer to the different components or features that are being added to the AI system. The speaker mentions 'new modules' which are of the V2 variety, indicating an upgrade or a second version of existing features.

💡V2 Variety

V2 Variety refers to the second version of a particular module or feature. It suggests an improvement or an updated iteration of the original, which is a common practice in software development to enhance functionality and performance.

💡Tokenizer

A Tokenizer is a component in natural language processing that breaks down text into tokens, which are the basic units of meaning. In the video, it is mentioned that Cleo, the new model, has a 'Custom tokenizer,' which means it has been specifically designed for the unique requirements of the AI system.

💡Pre-trained Data Set

A Pre-trained Data Set is a collection of data that has already been processed and is used to train machine learning models. The video mentions a 'Custom 6 terabyte pre-trained data set,' which implies a large and specifically curated data set used to train the AI model, Cleo.

💡Fine Tune

Fine Tuning is the process of further training a machine learning model on a specific task after it has been pre-trained on a larger set of data. The video refers to 'custom fine tune,' which suggests that the model has been tailored to perform optimally for the intended tasks.

💡Parameter Count

Parameter Count refers to the number of variables or weights in a machine learning model that are learned from the data. The video states that Cleo is a '3B package,' meaning it has 3 billion parameters, which is a measure of the model's complexity and capacity for learning.

💡Lambada Score

The Lambada Score is a metric used to evaluate the performance of language models, particularly their ability to answer questions accurately. The video mentions Cleo achieving a 'Lambada score of 73 percent,' which is a high score indicating the model's proficiency in language understanding and generation.

💡Context Length

Context Length is the amount of text or information that a language model can consider at one time when generating a response. The video highlights Cleo's '8192 token context,' which is an unusually high context length allowing the model to process and generate responses based on longer pieces of text.

💡Proof of Concept

A Proof of Concept is a demonstration or test to show that a certain idea or method is feasible. In the video, Cleo is referred to as a 'proof of concept model,' which means it serves as evidence that the team can successfully develop and train large-scale AI models.

💡Opus Subscribers

Opus Subscribers likely refers to a group of users or customers who have a subscription to a premium service or product. The video mentions that these subscribers will get early access to Cleo, indicating a tiered access model where loyal or paying customers receive benefits such as early access to new features.

Highlights

Introduction of painting to image generation, a new feature in NovelAI.

The feature allows users to modify and replace elements in images.

Announcement of the official release of painting in two days, on Thursday.

Sigurd and Andrew Terpy are receiving brand new V2 modules.

The new modules are complete replacements to the original ones with additional features.

Introduction of Cleo, the first custom-made model created in-house at NovelAI.

Cleo has been trained from scratch with a custom tokenizer and dataset.

Cleo has a 1.5 trillion token training, providing better general knowledge.

Cleo achieved a Lambada score of 73 percent, surpassing other similarly sized models.

During fine-tuning, Cleo reached a Lambada score of 74.

Cleo features an 8192 token context, a significant increase from previous models.

Cleo is compact, with only 3 billion parameters.

Cleo serves as a proof of concept for NovelAI's capability to train large language models.

Training Cleo helped finalize the training process and resolve any issues.

NovelAI has begun training even larger models following the success with Cleo.

Cleo is currently experimental and available for Opus subscribers to test.

General availability of Cleo for all users is expected in two weeks.

The NovelAI team expresses gratitude for the patience and support of the community.

More exciting developments are planned for the year ahead.

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