From Financial Express: [published_date]

Last month, two major incidents hit the generative AI scene. Google’s Gemini chatbot failed due to inaccurate texts and sensitive images. Former Google employees blame rushed releases on poor decision-making. The competition in Generative AI has been fierce since OpenAI’s ChatGPT launch.

In the GenAI arena, large tech companies like Google face off against smaller competitors like OpenAI. The rapid release of new GenAI products post-ChatGPT launch has led to intense competition between various companies like OpenAI, Google’s Gemini Ultra, Meta’s Llama 2, Anthropic, and Mistral AI.

The growth of multimodal AI models comes at a high cost in data requirements and building advanced FMs. The economic costs of product failure in the GenAI space are significant. OpenAI’s strategy with ChatGPT led to a rapid increase in customer base and subscription model success, boosting the company’s valuation to $80 billion.

The Gemini chatbot failure has prompted the Indian government to issue guidelines for AI tech giants, emphasizing permission, disclosures, and labeling of products undergoing testing. Future GenAI products may face longer containment phases and strict labeling requirements, with increased scrutiny on AI model training methods.

The fallout from the Gemini fiasco is expected to bring changes to AI model training methods, with a focus on verifiable standards for unsupervised and supervised learning. This incident highlights the need for more caution and transparency in the GenAI sector to avoid costly failures.



Read more at Financial Express: Lessons from the Gemini fiasco: The peculiar pattern of growth, competition witnessed in Generative AI space – Opinion News