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Unleashing the potential of the Gemini model from Google

Unleashing the potential of the Gemini model from Google

By Ashish Agarwal

The breakthroughs keep coming in generative AI (GenAI), with Google unveiling its latest model this month, called Gemini. The growing list of options for organizations using GenAI presents an expanding set of opportunities for moving forward with this emerging technology. What do you need to know to unleash the full potential of these possibilities?

While the launch of Gemini is exciting, many leaders are wondering where to get started. Here are things to think about as you create your roadmap.

Three things to know about the Google Gemini model

Some of the key features of Google Gemini include:

  • Multimodality: Gemini is designed to understand, reason across, and generate various types of data such as text, code, images, audio, and video. 
  • Optionality: Gemini is available in three versions tailored to address different computational limitations and application requirements:
    • Gemini Ultra: Optimized for highly complex reasoning and multimodal tasks.
    • Gemini Pro: Ideal for scaling across a broad range of tasks.
    • Gemini Nano: Most efficient for edge devices such as Android phones. Google plans to use this version in its upcoming Pixel 8 Pro. 
  • Performance: Gemini Ultra, a version of Gemini expected to be available in early 2024 to select Google customers, developers, and partners, reportedly shows remarkable results in various benchmarks, including outperforming human experts in certain tasks.

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Opportunities for Google Gemini across industries 

Gemini could unlock new opportunities across every industry. Some of the potential impacts include: 

  • Cross-industry communication: Given its proficiency in handling multiple languages, Gemini could greatly improve multilingual communication and translation services. Its reasoning and understanding skills could be used for personalized learning and enhanced tutoring.
  • High tech: Google has signaled that Gemini can understand, explain, and generate high-quality code in programming languages including Python, Java, C++, and Go. This could help high-tech companies speed up the development process for new applications and platforms. 
  • Health care: With the rising demand for telehealth services, health care companies could use the power of Gemini to improve the quality of digital interactions with patients. Gemini Nano could power features on edge devices such as summarization for audio recordings, and access to the camera will provide AI-driven improvements in photography and video.
  • Life Sciences: Some of the areas that Gemini could benefit Life Sciences companies include understanding complex multimodalities of electronic health records, imaging, radiology, lab results, and genomic data, reducing the data engineering work of researchers in cohort analysis, drug discovery, and finding patient specific clinical trials.
  • Public Sector: Several governments around the world are experimenting with the use of LLMs to help citizens with virtual assistants. Another way Gemini image capabilities can be used is to help assess conditions of roads, bridges, and other infrastructure that may need maintenance. It can also help analyze historical traffic data and traffic sensor data, including from public transportation cameras, to predict traffic congestion and delays.

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