Google Gemini: Is it the most capable AI model?

Google has recently introduced Google Gemini AI, its latest large language model (LLM), marking a significant advancement in artificial intelligence. This move is to influence various Google products as Gemini AI becomes available to the public, following a teaser in June.

So, What is Google Gemini?

Gemini AI, Google’s latest and more powerful large language model (LLM), surpasses its predecessor in capabilities. It’s designed to excel in various tasks involving text, images, video, audio, and code, making it versatile for different applications.

Google Gemini is the first model to outperform human experts in Massive Multitask Language Understanding (MMLU), a widely used method to test AI models’ knowledge and problem-solving skills. This achievement highlights Gemini’s impressive capabilities. Gemini AI specialized in:

• Computer Vision: Recognizing objects, understanding scenes, and detecting anomalies.
• Geospatial Science: Handling multiple data sources, planning and intelligence, and continuous monitoring.
• Human Health: Offering personalized healthcare, integrating biosensors, and focusing on preventative medicine.
• Integrated Technologies: Transferring domain knowledge, combining data effectively, enhancing decision-making, and excelling in large language models (LLMs).

The current transition with AI represents a profound shift, larger than the transitions to mobile or the web. It holds the potential to create widespread opportunities, drive innovation, and significantly impact knowledge, learning, creativity, and productivity.

The excitement of making AI helpful for everyone globally. The Google Gemini is the company’s most capable and general model yet, representing a significant milestone and the realization of its vision.

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Google is putting a special focus on coding as a standout use for the new Gemini AI, paired with AlphaCode 2, a code-generating system that outperforms 85% of participants in coding competitions, showing a 50% improvement from the original AlphaCode. Google Gemini, trained on Google’s Tensor Processor Units (TPU), is faster and cheaper than the previous PaLM, making it more efficient.

Google is set to release TPU v5p, a new version designed for data centers handling large-scale models. Google Gemini comes in three versions – Nano for quick on-device tasks, Pro as a versatile middle-tier option, and Ultra, the most powerful undergoing safety checks and available next year.

Tensor Processing Units (TPUs)

TPU v5p, the newest version of its specialized AI chips. These updated TPUs can train large language models almost three times faster than the previous versions, making the process of training AI models more efficient. Developers now have access to a preview of these chips, enabling faster and more advanced development of AI applications.

Gemini Nano’s enhanced features are showcased on Pixel 8 Pro, offering summarization in the Recorder app and Smart Reply on Gboard. Gemini Pro’s advanced text capabilities are accessible for free within Google Bard.

Gemini in Google Bard

The integration of Google Gemini with Bard brings a significant improvement, allowing Bard to generate more accurate and high-quality responses by better understanding user intent. Gemini’s multimodality enables Bard to seamlessly handle various media types like images, audio, and video, enhancing the overall user experience.

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How To Use Google Gemini On Pixel 8 Pro?

1. Visit the Bard website.
2. Log in with your personal Google account.
3. Once logged in, enjoy the advanced features of Gemini Pro within the Bard chatbot by asking or saying anything.

While Bard initially seemed less capable compared to OpenAI’s ChatGPT, the introduction of Gemini has elevated its reasoning and understanding abilities. Recent findings suggest that the most capable version of Gemini outperformed GPT-4 on various benchmarks, showcasing advanced reasoning skills. However, challenges persist in achieving higher-level reasoning in AI models.

Currently, Bard utilizes only a small portion of Gemini’s capabilities. The upcoming Bard Advanced, set to launch next year, will fully leverage Gemini Ultra, the most powerful variant. This version will introduce a multimodal chatbot experience, accepting and creating images, audio, and video. Additionally, Gemini Ultra will support more languages than the current English-only availability in Gemini Pro.

Limitations of Google Gemini in Bard

There are a few limitations to note with Gemini Pro integrated into Bard:

1. Interaction is currently limited to English, restricting global accessibility.
2. The integration of Gemini Pro within Bard has some limitations.
3. Geographical constraints exist, with no integration available in the EU.
4. Only the text-based version of Gemini Pro is accessible in Bard.

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Comparisons with AI models

Gemini stands out in the field of AI because it comes with built-in native multimodal capabilities. Unlike models like GPT-4, which usually needs additional plugins or integrations for handling different types of content, Gemini offers a complete and integrated approach to understanding and generating diverse content types. This means Gemini can handle various types of information without requiring additional add-ons.

Conclusion:

Gemini is still in its early stages, which means users anticipating multimodal interactions may need to wait for more diverse features. Google is actively working on enhancing and expanding Gemini’s capabilities to address these limitations and improve overall accessibility.

The true capabilities of Gemini will be determined by everyday users seeking information, brainstorming ideas, writing code, and engaging in various activities.

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