The introduction of Google’s conversational AI, ‘Gemini,’ has been delayed until next year due to language processing issues. Gemini, designed to rival OpenAI’s ChatGPT, was expected to leverage multimodal learning techniques to handle various data formats such as text, images, code, and audio. However, Google discovered that Gemini was not consistently effective in handling queries in languages other than English.
Google CEO Sundar Pichai has cancelled a series of Gemini events scheduled for next week, following this setback. These events, which were not publicly disclosed, were intended to be Google’s most significant product launch of the year. Google had been making substantial efforts to compete with OpenAI, expanding its computational capacity and pooling large teams.
Gemini aims to revolutionize artificial intelligence by combining different types of data, such as photos and text, for more complex tasks. It employs multimodal learning approaches to process and generate data in various formats, including text, graphics, code, and audio. This enables Gemini to perform tasks such as generating innovative text forms, translating languages, and coding.
Demis Hassabis, CEO of Google DeepMind, previously stated that Gemini would surpass OpenAI’s ChatGPT in terms of competence. The development of Gemini draws inspiration from AlphaGo, an AI software that famously defeated a champion human player in the board game Go. Google hopes that Gemini will enhance its existing AI and AI-enhanced products, including Bard, Google Assistant, and Search.
While the postponement of Gemini’s launch is a setback for Google, the company is determined to address the language processing issues before releasing the AI model. Gemini is expected to have exceptional generative skills, offering human-quality prose, language translation, creative composition, and meaningful answers to inquiries.
It remains to be seen how Google will navigate these challenges and whether Gemini will eventually live up to its anticipated capabilities. As technology giants compete to advance conversational AI, the development and refinement of multimodal learning techniques will play a crucial role in pushing the boundaries of artificial intelligence.
In the meantime, users eagerly await the potential breakthroughs that Gemini could bring, eagerly anticipating the day they can engage with its advanced capabilities. Till then, Google will continue refining and optimizing Gemini to ensure it meets their expectations in handling languages beyond English.
