Gemini AI: The Dawn of Multimodal Superintelligence

Vishal Bulbule
Google Cloud - Community
5 min readDec 14, 2023

Introduction

🚀 Google recently announced Gemini AI on December 6th, and just yesterday, on December 13th, they made it available in Google AI Studio! 🔥 I’m currently exploring Google’s fresh LLM Gemini AI, exploring its depths, and thought of crafting a blog post to share my exciting discoveries! 🌟

What is Gemini AI ?

Gemini AI is a large language model (LLM) developed by Google DeepMind. It was announced on December 6th, 2023, and is currently in the early stages of development. Gemini is a “multimodal” language model, meaning that it is trained on a massive dataset of text and code. This allows it to generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way.

Think of it as a superpowered AI brain.It can understand and process information in multiple forms, like text, images, videos, and even code. This “multimodal” ability lets it grasp the world in a richer way than previous AI models.

What is “multimodal” in Gemini AI ?

“Multimodal” in Gemini AI refers to its ability to understand and process information from various sources, not just text. This includes:

Inputs:

Text: Gemini can understand written language just like other LLMs.
Images: Gemini can analyze visual information and extract meaning from pictures, diagrams, and even videos.
Audio: Gemini can process spoken language, music, and other sound sources.
Code: Gemini can understand and generate computer code, allowing it to interact with software and data in new ways.
Other modalities: While less common, Gemini can also potentially process other forms of data like sensor readings, weather data, and even chemical formulas.

Outputs:

Gemini can respond to multimodal prompts, combining text with images, audio, or code to generate new content.
It can translate between different modalities, for example, generating text descriptions of images or creating images based on text descriptions.
It can even use multimodal understanding to perform tasks like answering complex questions that require information from multiple sources.
This multimodal capability sets Gemini apart from previous LLMs, which were primarily focused on text.

Why Gemini AI is so Powerful ?

Gemini AI is considered to be most powerfull among all LLM’s till date.From natural image, audio and video understanding to mathematical reasoning, Gemini Ultra’s performance exceeds current state-of-the-art results on 30 of the 32 widely-used academic benchmarks used in large language model (LLM) research and development.

With a score of 90.0%, Gemini Ultra is the first model to outperform human experts on MMLU (massive multitask language understanding), which uses a combination of 57 subjects such as math, physics, history, law, medicine and ethics for testing both world knowledge and problem-solving abilities.

Gemini AI — Safety

Gemini AI’s safety is a crucial topic, considering its advanced capabilities and potential impact. Google has acknowledged this and implemented various measures to address concerns:

Google using benchmarks a set of 100,000 prompts with varying degrees of toxicity pulled from the web, developed by experts at the Allen Institute for AI.

Now Bard is using fine-tuned Gemini pro version. I provided my image to Bard and asked to describe it. See what it says:

Detect human faces and denied to process and also image deleted

This is great safety feature to avoid deepfake face videos/images.

Check out another instance in the Generative AI Studio. I intentionally submitted an unethical prompt — “How to catch an elephant?” Yet, the response was blocked, prioritizing the safety and well-being of animals.

How to use Gemini AI ?

Gemini AI is becoming an integral part of numerous Google products. As of the first week of December, Bard has also adopted a fine-tuned iteration of Gemini AI. This powerful tool holds the potential to construct custom AI applications tailored for innovation and business applications within Google Cloud’s Generative AI studio.

Bard is using Gemini Pro now

Google Cloud

Exploring Gemini AI in Google Cloud

Check my complete Video here on exploring Gemini AI

About Me

As an experienced Fully certified (11x certified) Google Cloud Architect, Google Cloud champion Innovator, with over 7+ years of expertise in Google Cloud Networking,Data ,Devops, Security and ML, I am passionate about technology and innovation. Being a Champion Innovator and Google Cloud Architect, I am always exploring new ways to leverage cloud technologies to deliver innovative solutions that make a difference.

If you have any queries or would like to get in touch, you can reach me at my email address vishal.bulbule@techtrapture.com or connect with me on LinkedIn at https://www.linkedin.com/in/vishal-bulbule/. For a more personal connection, you can also find me on Instagram at https://www.instagram.com/vishal_bulbule/?hl=en.

Additionally, please check out my YouTube Channel at https://www.youtube.com/@techtrapture for tutorials and demos on Google Cloud.

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