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Friday, February 16, 2024

Google’s Bard Empowered by Gemini Model: A New Chatbot Era

Google's Bard, now powered by the advanced Gemini model, aims to compete with ChatGPT, boasting enhanced performance across various benchmarks and introducing native multimodal capabilities, signaling a significant step forward in AI evolution.

Election Commission Notifies PTI Over Rigged Intra-Party Polls PleaIn the ever-expanding landscape of AI chatbots, OpenAI’s ChatGPT has reigned supreme, while Google’s Bard has often lingered as an afterthought. Despite Bard’s steady feature upgrades and access to Google’s product data, it has struggled to match the prowess of ChatGPT and other bots leveraging GPT-3 and GPT-4.

However, a game-changing moment may be on the horizon for Bard. Today, Google announced that Bard, catering to English-speaking users in 170 countries, is now fuelled by the revolutionary Gemini model. According to Google, Gemini not only matches but surpasses OpenAI’s technology in various aspects, ushering in a new chapter for Bard.

Bard Ascends with Gemini Pro

Bard’s integration with Gemini Pro, the mid-tier gem in the Gemini series, positions it as the optimal balance between speed and capability. Sissie Hsiao, Google’s Bard and Assistant lead, hails Gemini as the “biggest and best upgrade yet” for Bard. Sundar Pichai, Google’s CEO, attests to an across-the-board enhancement, emphasizing improved understanding of user intent, better answers, heightened factual accuracy, and enhanced coding capabilities.

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Soon, Bard is poised to transcend its current chatbot form with the impending launch of “Bard Advanced.” This evolution, powered by Gemini Ultra, the most potent version of Google’s new language model, will venture into multimodal realms. Beyond text, Gemini Ultra will seamlessly handle images, audio, and video, offering users a multifaceted interaction experience.

A Paradigm Shift in AI Capability

The Gemini model’s unveiling, accompanied by significant performance metrics, sets a new benchmark in the AI landscape. Gemini boasts performance that “exceeds current state-of-the-art results on 30 of the 32 widely-used academic benchmarks.” Notably, it achieved a remarkable 90.0% on the “Massive Multitask Language Understanding” test, surpassing human expert performance. Gemini’s applications extend to software engineering, with the AlphaCode 2 version outperforming an estimated 85% of human coders.

Gemini’s defining feature is its native multimodality, enabling seamless analysis and interpretation of diverse data types. Google’s demos showcase applications such as AI-assisted paper airplane design and homework assistance through image uploads.

As Gemini prepares to infiltrate Google’s ecosystem, starting with search, Chrome, ads, and productivity apps, the AI landscape braces for transformative innovation. As Pichai envisions Gemini 2.0, the relentless pursuit of groundbreaking capabilities promises a future where AI reshapes industries and enhances human potential.