Google has finally made the big move and unveiled a new era of Gemini AI. Gemini is Google’s latest large language model (LLM), which has been recently launched to the public after a teaser in June. This huge step in AI is expected to have a domino impact on all of Google’s products.
What is Google Gemini?
Gemini AI is Google’s latest LLM that has been designed to be more powerful and capable than its predecessor. Gemini is built for multimodality that reasons seamlessly across text, images, video, audio, and code.
Gemini is the first model that has outperformed human experts on MMLU (Massive Multitask Language Understanding). Seeing that it is one of the most used methods that tests the knowledge and problem-solving abilities of AI models speaks volumes of Gemini’s capabilities.
Gemini AI’s areas of expertise include –
- Computer vision (object detection, scene understanding, and anomaly detection)
- Geospatial science (multisource data fusion, planning and intelligence, and continuous monitoring)
- Human health (personalized healthcare, biosensor integration, and preventative medicine)
- Integrated technologies (domain knowledge transfer, data fusion, enhanced decision-making, and LLMs)
Google is particularly focusing on coding as an outstanding application for Gemini with AlphaCode 2, its new code-generating system, which seemingly performs better than 85 percent of the participants in a coding competition, which is a 50 percent improvement from the original AlphaCode. Not only that, according to Pichai, users will notice enhancements in practically anything Gemini interacts with.
Gemini was trained on Google’s Tensor Processing Units (TPU), and is faster and cheaper to run than Google’s previous PaLM, making the model far more efficient.
Google is also going to launch TPU v5p, a newer version of the TPU system, that has been designed specifically for data centers that need to train and run large-scale models.
Gemini comes in three variants — Nano, Pro, and Ultra- built to cater to the various needs of the users. Nano is meant for fast on-device tasks, while Pro is a versatile version that serves as the middle tier. Ultra is the most powerful of the three versions and will be available next year as it is undergoing safety checks.
One can get a taste of Gemini Nano on the Pixel 8 Pro. It has introduced enhanced features like summarization in the Recorder app and Smart Reply on Gboard, initially implemented in WhatsApp.
The advanced text-based capabilities of the Gemini Pro can be experienced for free within Google Bard.
Google Gemini in Bard
The Gemini-Bard integration comes with a significant improvement that enables Bard to generate more accurate, high-quality responses by better understanding the user intent. Furthermore, Gemini’s multimodality allows Bard to handle all kinds of media seamlessly, i.e., images, audio, and video, enhancing the user experience.
The integration of Gemini with Bard lays the foundation for a future of rich and nuanced human-AI interaction.
How to use Google Gemini in Bard?
To use Gemini Pro-integrated Bard –
- Visit the Bard’s website
- Log in with your personal Google account
- Once logged in, you can enjoy the advanced features of Gemini Pro within the Bard chatbot by asking or saying anything to Bard.
Bard seemed more like an afterthought, and it didn’t quite match up to the capabilities of OpenAI’s ChatGPT. But that changed with the launch of Gemini, which introduced more advanced reasoning and understanding.
A very recent whitepaper indicated that the most capable version of Gemini outperformed GPT-4 on multiple-choice exams, grade-school math, and other benchmarks. However, it also acknowledged the ongoing struggles of AI models failing to achieve higher-level reasoning skills.
Currently, Bard uses only a tiny fraction of Gemini’s capabilities. The multimodal function that accepts and creates images, audio, and video is set to be launched next year with the newer version of Bard called the Bard Advanced. It will use Gemini Ultra, which is the most powerful and capable variant of Gemini.
Apart from the multimodal chatbot experience, Gemini Ultra will also support more languages than English, which is currently the only language available for Gemini Pro.
How to use Google Gemini on Pixel 8 Pro?
You can use Gemini on the Pixel 8 Pro without needing an internet connection. The device supports Gemini Nano, a slimmed-down version of Gemini that can run when offline. It has enhanced two features on the Pixel 8 Pro: Smart Reply and Recorder.
Smart Reply – This feature suggests the next thing to say in a messaging app. The Gemini Nano integration helps generate more relevant and natural responses than before.
To use Smart Reply –
- Enable AiCore in the Developer Options in the Settings. From Settings, go to Developer Options > AiCore Settings > Enable Aicore Persistent.
- Open a WhatsApp conversation.
With Smart Reply enabled, the Gboard keyboard’s suggestion strip will show Gemini Nano-powered suggestions. This is currently a limited preview for US English in WhatsApp. However, there are plans to extend support to more apps and regions.
To use Gemini’s summarization capabilities in the Recorder app –
- Open the Recorder app.
- Start recording.
- Tap on the summary button to get a Gemini Nano-generated summary of the audio recording.
The Recorder app can generate summaries with just a click, giving a quick overview of the main points and highlights of the recording.
Limitations of Gemini in Bard
A few limitations with Gemini Pro within Bard need to be mentioned.
- Firstly, English-only interactions hinder accessibility on a global scale.
- The integration of Gemini Pro within Bard is limited.
- There are also geographical constraints as integration has not yet been introduced in the EU.
- Only the text-based version of Gemini Pro is accessible within Bard.
Gemini is still in its early stages, potentially leaving those who looked forward to multimodal interactions to wait a little longer for a more diverse range of features. Google is working on improving and expanding its capabilities and accessibility.
However, it is the general users looking up information, brainstorming ideas, writing code, etc., who will ultimately determine the true capabilities of Gemini.
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