Genie AI Model

About:

• Genie AI Model

  • It is a foundation world model that is trained on videos sourced from the Internet.

• • The model can “generate an endless variety of playable (action-controllable) worlds from synthetic images, photographs, and even sketches.”
  • It is the first generative interactive environment that has been trained in an unsupervised manner from unlabelled internet videos.

• Specifications: 

  • When it comes to size, Genie stands at 11B parameters and consists of a spatiotemporal video tokenizer, an autoregressive dynamics model, and a simple and scalable latent action model.

• • These technical specifications let Genie act in generated environments on a frame-by-frame basis even in the absence of training, labels, or any other domain-specific requirements.
  • Genie can be prompted to generate a diverse set of interactive and controllable environments although it is trained on video-only data.
  • It makes playable environments from a single image prompt.
  • It can be prompted with images it has never seen. This includes real world photographs, sketches, allowing people to interact with their imagined virtual worlds.
  • It is trained more on videos of 2D platformer games and robotics.
  • Genie is trained on a general method, allowing it to function on any type of domain, and it is scalable to even larger Internet datasets.
  • The standout aspect of Genie is its ability to learn and reproduce controls for in-game characters exclusively from internet videos.
  • This is noteworthy because internet videos do not have labels about the action that is performed in the video, or even which part of the image should be controlled.
  • It allows you to create an entire new interactive environment from a single image

• Artificial Intelligence (AI)

  • AI is the ability of a computer, or a robot controlled by a computer to do tasks that are usually done by humans because they require human intelligence and discernment.
  • Although there is no AI that can perform the wide variety of tasks an ordinary human can do, some AI can match humans in specific tasks.
  • Characteristics & Components:
    • The ideal characteristic of artificial intelligence is its ability to rationalize and take actions that have the best chance of achieving a specific goal. A subset of AI is Machine Learning (ML).
    • Deep Learning (DL) techniques enable this automatic learning through the absorption of huge amounts of unstructured data such as text, images, or video.

• Applications of AI in Different Sectors

  • Healthcare: It aims to enhance diagnosis accuracy, enable personalized treatment, improve patient outcomes, streamline healthcare operations, and accelerate medical research and innovation.

• • Recently, the Indian Council of Medical Research (ICMR) issued a guiding document- “The Ethical Guidelines for Application of AI in Biomedical Research and Health care”, which outlines 10 key patient-centric ethical principles for AI application in the health sector.
  • Business: AI in the business sector helps optimize operations, enhance decision-making, automate repetitive tasks, improve customer service, enable personalized marketing, analyze big data for insights, detect fraud and cybersecurity threats, streamline supply chain management, and drive innovation and competitiveness.Education: AI could open new possibilities for innovative and personalised approaches catering to different learning abilities.
  • IIT Kharagpur has collaborated with Amazon Web Services to develop the National AI Resource Platform (NAIRP), the future possibilities of which include monitoring eye movement, motion and other parameters for better teaching and learning.
  • As demonstrated by ChatGPT, Bard and other large language models, generative AI can help educators and engage students in new ways.
  • Judiciary: It is used to improve legal research and analysis, automate documentation and case management, enhance court processes and scheduling, facilitate online dispute resolution, assist in legal decision-making through predictive analytics, and increase access to justice by providing virtual legal assistance and resources.
    • SUVAS (Supreme Court Vidhik Anuvaad Software): It is an AI system that can assist in the translation of judgments into regional languages.
    • This is another landmark effort to increase access to justice.
    • SUPACE (Supreme Court Portal for Assistance in Court Efficiency): It was recently launched by the Supreme Court of India.
  • Cybersecurity/Security: It is used in security and cybersecurity to detect and prevent cyber threats, identify anomalous activities, analyze large volumes of data for patterns and vulnerabilities, enhance network and endpoint security, automate threat response and incident management, strengthen authentication and access control, and provide real-time threat intelligence and predictive analytics for proactive defense against cyber attacks.