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Gemini AI: Google’s newest Artificial intelligence model(Know the EMERGING TECHNOLOGY)

Google recently unveiled Gemini AI, its latest large language model (LLM), designed to exhibit human-like behaviour.

Gemini AI:

  • Google Gemini is a new multimodal generational AI model which comes in three sizes: Nano, Pro, and Ultra, catering to various needs of the users.
  • Gemini Ultra is the first model to outperform human experts on massive multitask language understanding (MMLU), which uses a combination of 57 subjects such as maths, physics, history, law, medicine and ethics for testing both world knowledge and problem-solving abilities.

Generative AI models:

  • Generative AI, also known as generative artificial intelligence, refers to a subset of artificial intelligence techniques that focus on generating new content or data that is similar to existing examples.
  • It involves using machine learning algorithms to create new and original content, such as images, text, audio, or even video with the help of natural-language prompts. E.g., DALL-E for image generation, ChatGPTfor text generation.
  • One of the most popular approaches to generative AI is the use of generative models, particularly generative adversarial networks (GANs).
    • GANs consist of two components: a generator and a discriminator.
    • The generator learns to create new samples that resemble the training data, while the discriminator tries to distinguish between the generated samples and real data.
    • Through an iterative process, both components improve their performance, resulting in the generation of increasingly realistic content.

Applications of Generative AI: 

  • Generate personalised social media posts, blogs, and marketing text and video copies by providing a text prompt. E.g., Midjourney.
  • Software coding: Code generation, translation, explanation and verification. E.g., GitHub, Copilot6
  • Summarise research materials to reduce countless hours of human research.
  • Can help create complex engineering, machine design and Architecture through Generative Image and video technology.
  • Can help in medical diagnosis by generating personalised treatment plans for patients’ symptoms and medical history.
  • Create immersive virtual environments or augmented reality experiences by generating realistic 3D objects, landscapes, or characters.

 

 

 

 

 

 

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