AI News: The Best Open Source Model EVER

Matt Wolfe
19 Apr 202433:09

TLDRThis week's AI news highlights the release of Meta's Llama 3, an open-source large language model with integrated real-time knowledge from Google and Bing, capable of creating animations and high-quality images in real-time. The announcement also teases a 400 billion parameter model expected to compete with current models like GPT-4. Other notable developments include Nvidia's reminder of their role in training Llama 3, Grock's upcoming support for the model, and the various AI features now available on platforms like Hugging Face and Meta's own. The industry is also abuzz with advancements in multibot chat, AI art with Stable Diffusion 3, and Microsoft's Vasa, an emotional talking head generator. Additionally, there's a focus on AI-enabled gadgets like the Rabbit R1, Limitless pendant for conversation recording with consent, and Logitech's AI prompt builder for mice. The summary concludes with a nod to the Boston Dynamics robot and the NextWave podcast for deeper dives into AI topics.

Takeaways

  • 🚀 Meta has launched LLaMA 3, an upgrade to their AI models, releasing two versions with 8 billion and 70 billion parameters, and promising a future release of a 400 billion parameter model.
  • 🌐 The new LLaMA 3 models integrate real-time knowledge from Google and Bing, enhancing the AI’s ability to provide updated and accurate responses.
  • 🖼️ Meta’s new AI capabilities include generating animations and high-quality images in real-time, which can be experienced on their new dedicated website.
  • 🤖 LLaMA 3 is available for use on Meta's platform and through an API on Hugging Face, broadening access to this advanced AI technology.
  • 🔍 Meta AI now searches the web directly when asked questions, improving its utility and accuracy in providing current information.
  • 🎨 Meta has also introduced a feature that allows users to create images that change in real-time as they type, enhancing interactive and creative possibilities.
  • 📊 Early benchmarks show LLaMA 3 performs comparably to other leading AI models like Claude 3, Sonet, and Gemini Pro 1.5, although it has yet to surpass them significantly.
  • 🔧 Nvidia highlights their GPUs' role in training LLaMA 3, emphasizing the importance of their hardware in developing large-scale AI models.
  • 💡 The release of LLaMA 3 sets the stage for future advancements in AI with plans for more releases that will bring multimodality and larger context windows.
  • 👥 Meta’s announcement did not shock the industry, as it was well-anticipated, but it reinforces Meta's commitment to advancing open-source AI technology.

Q & A

  • What is Meta's new AI model called?

    -Meta's new AI model is called LLaMA 3.

  • What are the parameter sizes of the two versions of LLaMA 3 that were released?

    -The two versions of LLaMA 3 that were released have 8 billion and 70 billion parameters, respectively.

  • How does LLaMA 3 compare to existing open-source AI models in terms of performance?

    -The LLaMA 3 models perform roughly on par with other open-source AI models like Claude 3 Sonet and Gemini Pro 1.5.

  • What unique features does Meta AI now include with the integration of LLaMA 3?

    -Meta AI now includes unique creation features such as generating animations and high-quality images in real-time.

  • How can users access LLaMA 3 outside of Meta's platform?

    -Users can access LLaMA 3 via the API on Hugging Face's platform.

  • What significant future release is anticipated for LLaMA 3?

    -A significant future release for LLaMA 3 is a 400 billion parameter model that is expected to enhance capabilities such as multimodality and larger context windows.

  • What new feature in Meta AI helps in providing real-time information from the web?

    -Meta AI has integrated real-time knowledge from Google and Bing to provide answers directly in its responses.

  • What is the new website feature that generates AI images and animations as you type?

    -The new feature on the Meta AI website generates AI images and animations in real-time as the user types, under the 'Imagine' tab.

  • What is the future direction of AI models according to the script?

    -The future direction of AI models is toward specialization where different models excel in specific tasks, and a front-end interface could choose the best model based on the query.

  • What collaboration is mentioned that focuses on advancing AI infrastructure?

    -The script mentions a collaboration between Microsoft and OpenAI to build a $100 billion data center to enhance AI compute capabilities and push towards AGI (Artificial General Intelligence).

Outlines

00:00

🚀 Meta Releases Llama 3: A New Era in AI Language Models

This week, Meta announced the release of Llama 3, an upgraded version of their open-source large language model. Llama 3 comes in two versions: an 8 billion parameter model and a 70 billion parameter model, both of which are comparable to existing free AI models. The 8 billion parameter model shows promising performance in benchmark tests, outperforming some of the best open-source models available. However, the most anticipated release is the upcoming 400 billion parameter model, which is expected to offer advanced capabilities such as multimodality, multilingual conversational abilities, and larger context windows. Additionally, Meta AI now integrates real-time knowledge from Google and Bing, and introduces unique creation features like animation and high-quality image generation in real-time. The models are available for use via Hugging Face's API, and a new website by Meta allows users to experience the model's capabilities, including web search integration for answering questions.

05:00

🎨 Meta's AI Image Generator: Creating Art in Real Time

Meta has introduced a new AI image generator under the Imagine tab on their website. This tool allows users to generate images in real time as they type, providing instant visual feedback. Users can submit their desired image prompt, and the AI will create variations of the image for selection. A unique feature is the ability to animate the generated images, offering a new level of interactivity. The tool is free to use and showcases the potential of AI in creative applications, hinting at future possibilities for AI in art and design.

10:01

🤖 AI and Robotics: Advancements and Ethical Considerations

The US Air Force has confirmed the first successful AI dogfight using a jet controlled by AI, with human pilots on board to override the AI if necessary. The outcome of the dogfight was not disclosed, but the event marks a significant milestone in AI-driven military technology. On the consumer side, various AI gadgets are gaining attention. The Rabbit R1 is a device that can be trained to perform tasks autonomously. The Rewind pendant, now branded as the Limitless pendant, is a wearable device that records conversations after consent is given, aiming to serve as an augmented memory tool. Additionally, the integration of AI into earbuds and Logitech mice is being explored, with the potential to enhance user experience through voice assistance and customized functions. Lastly, Boston Dynamics' new Atlas 001 robot has gone viral, showcasing significant advancements in robotics and sparking discussions about the future of AI and automation.

15:02

🖥️ AI in Video Editing: Adobe and DaVinci Resolve's New Features

Adobe demonstrated groundbreaking AI capabilities at the NAB conference, including the ability to generate objects within a video scene, remove objects, and extend video clips using AI. These features are set to be integrated into Adobe Premiere, allowing video editors to utilize AI models like Pika, Runway, and Sora directly within the editing software. DaVinci Resolve also announced new AI-powered features such as AI color grading and AI motion tracking, which will be available in DaVinci Resolve 19. These advancements are expected to greatly enhance the capabilities of video creators and editors, streamlining the editing process and enabling more sophisticated results.

20:03

🧠 AI Tools for Memory and Productivity

The Limitless pendant, formerly known as the Rewind pendant, is a device that records conversations after obtaining consent from the speakers, ensuring privacy while providing a tool for augmented memory. This device could be particularly useful for networking events, conferences, and other situations where retaining information from numerous conversations is challenging. Additionally, the integration of AI with earbuds and the introduction of an AI prompt builder for Logitech mice are steps towards more personalized and efficient AI applications in everyday life. These tools aim to make it easier for users to interact with AI and improve their productivity.

25:04

📹 AI in Broadcasting and Content Creation

AI's role in broadcasting and content creation is expanding, with Adobe showcasing its AI capabilities at the NAB conference. The company's new features for video editing, such as object generation and removal, and clip extension, are set to revolutionize post-production work. Adobe Premiere will also integrate with various AI models, allowing creators to generate videos and perform complex editing tasks within the software. DaVinci Resolve 19 introduces AI color grading and motion tracking, further automating the editing process. These tools are expected to significantly impact the content creation industry, making it more accessible and efficient.

30:04

🤖 Boston Dynamics' Atlas 001: The Future of Robotics

Boston Dynamics' new Atlas 001 robot has generated a buzz online for its impressive and somewhat unsettling capabilities. The robot represents a significant update from its predecessor, with a smaller form factor and a shift from hydraulics to electric operation, making it quieter and more efficient. The Atlas 001's demonstration of complex movements and the ability to stand up in various ways highlights the rapid advancements in robotics technology. While the video's 'creepy factor' has caught people's attention, it also showcases the potential for AI and robotics to perform tasks that were once exclusive to humans.

Mindmap

Keywords

💡Meta

Meta refers to the technology company formerly known as Facebook, which has been active in developing AI technologies. In the script, Meta's release of 'Llama 3', a new version of its open-source large language model, is a focal point. This model is described as having state-of-the-art capabilities and is being open-sourced to enhance accessibility and development within the AI community.

💡Open Source

Open source refers to software with source code that anyone can inspect, modify, and enhance. The script discusses the open-sourcing of Meta's Llama 3 model, emphasizing the company's strategy to contribute to the broader AI community, allowing developers and researchers to freely use and build upon their technology.

💡Large Language Model

A large language model (LLM) is an AI model trained on vast amounts of text data to generate human-like text. The script highlights Llama 3, a large language model by Meta, showcasing its capabilities in generating high-quality animations and images, reflecting its advanced AI functionalities and its impact on the AI tools available to the public.

💡Parameters

In the context of AI and machine learning, parameters are the parts of the model that are learned from historical training data. The script mentions Llama 3 models with '8 billion' and '70 billion' parameters, indicating their complexity and capacity to handle various AI tasks, with a future release promising a model with '400 billion parameters' for even greater capabilities.

💡Multimodality

Multimodality in AI refers to the ability of systems to process and integrate information from various forms of data, such as text, images, and audio. The script points to Llama 3's anticipated capabilities in this area, suggesting that future versions of the model will support more complex interactions across different data types.

💡Benchmark

Benchmarks in AI are standard tests used to evaluate the performance of models under specific conditions. The script references various benchmark tests to compare Llama 3 with other models like Claude 3 Sonet, illustrating how benchmarks help in assessing the strengths and limitations of AI models.

💡Real-time Knowledge

Real-time knowledge in AI systems refers to the capability to fetch and use up-to-date information from the internet or other immediate sources. The script mentions that Llama 3 integrates real-time knowledge from Google and Bing into its answers, enhancing its utility as an AI assistant by providing the most current information available.

💡API

API stands for Application Programming Interface, which allows different software applications to communicate with each other. The script notes that Llama 3 is accessible via an API on Hugging Face, a platform for hosting machine learning models, highlighting the accessibility and integration capabilities of the model.

💡Inference

In the context of machine learning, inference is the process of using a trained model to make predictions. The script discusses the role of hardware like Nvidia GPUs and Groq Grock in speeding up inference, which is crucial for applications that rely on rapid responses from AI models like Llama 3.

💡Animation and Image Generation

These terms refer to the capabilities of AI models to create moving or static visual content. Llama 3's features, as mentioned in the script, include generating animations and high-quality images dynamically, showcasing the expanding utility of AI in creative and interactive applications.

Highlights

Meta has released Llama 3, an open-source large language model that is expected to compete with current models like GP4 and Claude 3 Opus.

Llama 3 integrates real-time knowledge from Google and Bing, enhancing its answers with up-to-date information.

The model includes unique creation features, enabling it to generate animations and high-quality images in real-time.

Two versions of Llama 3 were released: an 8 billion parameter model and a 70 billion parameter model, both with best-in-class performance for their scale.

Meta is also training a larger dense model with over 4.1 trillion parameters, promising even greater capabilities upon release.

Llama 3 is available for use via API on Hugging Face and can search the web when answering questions.

Meta's AI website features an AI image generator that creates images and animations based on user prompts in real-time.

GPT Trainer is introduced as a no-code framework for building multi-agent chatbots with function calling capabilities.

Xai announced Grock 1.5 with Vision, capable of writing code from diagrams and other advanced visual tasks.

PO released a new feature called multibot chat, allowing users to interact with different models based on the question asked.

Google is investing a significant amount in AI infrastructure, aiming to be the first to achieve AGI (Artificial General Intelligence).

Stable Diffusion 3 has been released, showing promise in generating images with text, although a user interface is not yet available.

Leonardo AI is expected to integrate Stable Diffusion 3 soon and is also releasing a style transfer feature.

Microsoft's VasaOne research allows for the creation of talking videos from headshots and audio clips, with advanced emotional expressions.

Instant Mesh is an open-source tool that converts 2D images into 3D objects, providing a rough draft for further refinement.

Adobe showcased AI capabilities at NAB, including object removal, AI color grading, and the ability to extend video clips with AI.

DaVinci Resolve 19 introduces AI-powered features such as color grading and motion tracking, enhancing video editing capabilities.

The US Air Force successfully tested an AI-driven dogfight in real jets, marking a significant step in autonomous military technology.

Various AI-enabled gadgets are gaining attention, including the Humane AI pin, Rabbit R1, Limitless pendant, and Logitech's AI prompt builder for mice.

Boston Dynamics' new Atlas 001 robot showcases advanced capabilities and a more compact design, generating viral interest online.