Gemini- The Giant among Generative AI Models
The battle to create the most capable artificial intelligence model is heating up, if you haven’t noticed. After Chat GPT, many other generative AI models have entered the scene. But the latest entrant, Gemini, is something special.
What is Gemini?
Gemini is an LLM (large learning model) from Google, just like Open AI’s Chat GPT, Meta’s Llama, and Google’s very own Bard.
It currently has 3 versions:
- Gemini Nano- for mobile phones
- Gemini Pro- optimized for scaling up across a range of different tasks
- Gemini Ultra- the largest version for highly complex tasks
How is Gemini different?
Gemini is possibly the largest among the AI models. But this isn’t the only reason why the tech circles are interested in it.
The current generative AI models are limited by the types of data they can handle. For example, Chat GPT works with text. To work with images, it needs the help of Dall-E. It uses the Whisper API for speech-to-text transcription. Meaning, while these models are ‘intelligent’, they cannot match a human’s capacity to work with all the different modalities like text, speech, audio, video, etc. simultaneously.
However, Gemini is an example of ‘multimodal technology’- a technology that can simultaneously handle text, images, audio, video, and computer code- almost like a human. Gemini has been trained from the beginning to handle the different modalities without requiring separate plug-ins.
What next?
Gemini is expected to find applications in everything from mobile phones to large data centers.
A special point of interest is that Gemini has a knack for competitive programming. Google has already used Gemini Pro for its Alpha Code 2. This would make coders’ tasks much easier- a great time for aspirants like you to pick up coding and kickstart your IT career. If you need a bit of guidance, follow this link.
