Union Minister of State for Electronics and Technology Rajeev Chandrashekhar has warned Google India against Gemini AI generated responses about Prime Minister Narendra Modi. Rajeev Chandrashekhar has said that Google has violated the rules of the IT Act and the provisions of the Criminal Code.
Rajeev Chandrashekhar wrote in his post, 'This is a direct violation of Rule 3(1)(B) of the Intermediary Rules (IT Rules) of the IT Act and is also a violation of many provisions of the Criminal Code.'
Google's Gemini AI is also facing criticism for misrepresenting parts of history. Many Gemini AI users have historically shared images of inaccurate content on social media.
On this, Google had said that we are already working to solve the problems faced in the image generation feature of Gemini. While doing this we will stop people's image generation and re-release an improved version soon.
Google launched its new Artificial Intelligence (AI) model, Gemini, 3 months ago to compete with ChatGPIT. These AI tools are designed to behave like humans. Google claims that Gemini does better than other models in understanding, reasoning, coding and planning.
Company CEO Sundar Pichai had said that this is the beginning of a new era of AI in Google. Gemini is Google's latest Large Language Model (LLM). Pichai first teased it at the I/O developer conference in June.
Gemini is based on Massive Multitask Language Understanding Model (MMLU). The Ultra variant of the Gemini model outperformed ChatGPT 4 in 30 out of 32 benchmark tests, including reasoning and understanding images. Gemini Pro outperformed ChatGPT's free version, GPT 3.5, in 6 out of 8 benchmark tests.
Large Language Model is a deep learning algorithm. They have been trained using large datasets. That is why it is called large. This enables them to translate, predict, and generate text and other content.
Large language models, also known as neural networks (NNs), are computing systems inspired by the human brain. Large language models can be trained for many tasks like understanding protein structures, writing software code.
