Google is stepping up its efforts to compete with Microsoft-backed OpenAI’s ChatGPT by launching its own AI conversation technology, Bard. Google CEO Sundar Pichai on Monday informed employees of the company’s plan to test its new ChatGPT rival, Bard. The search giant aims to enlist help from partners for testing an API that will allow access to the same technology.
Pichai’s email to employees calls for a company-wide dogfood effort to shape Bard. Bard is Google’s new conversation technology, powered by AI, which will begin rolling out in the coming weeks, following public pressure from investors and employees to compete with ChatGPT from Microsoft-backed OpenAI.
Citing a Pichai’s email written to employees, CNBC wrote, “Next week, we’ll be enlisting every Googler to help shape Bard and contribute through a special company-wide dogfood.”
In his email to employees, Pichai highlights that the responses of Bard need to undergo rigorous testing for quality, safety and real-world information. “We’re looking forward to getting all of your feedback — in the spirit of an internal hackathon — more details coming soon,” he wrote. He also discussed the possibility of letting external parties build apps and products using Google’s LaMDA technology through an API.
“Next month, we’ll start onboarding individual developers, creators and enterprises, to try generative language APIs (application programming interface) initially powered by LaMDA, with a range of models to follow,” Pichai’s email stated. Next month, individual developers, creators, and enterprises will be able to try generative language APIs initially powered by LaMDA.
Main 5 features of ChatGpt
Natural Language Processing (NLP): ChatGPT uses advanced NLP techniques to understand and generate human-like text. It can analyze and understand the context of a conversation, and generate appropriate responses that are coherent and meaningful. It can respond to questions with relevant and concise answers, making it ideal for customer service applications.
Generative Model: ChatGPT is a generative model, meaning it can generate new text based on the input it receives. This allows it to produce diverse and creative responses to a wide range of conversational prompts. This AI can generate creative writing, poetry, or generate answers to questions in a natural and engaging way.
Large Scale Pretraining: ChatGPT is pretrained on a large corpus of text data, which allows it to have a broad understanding of language and a wide range of topics. This allows it to provide accurate and relevant responses to a wide range of questions. It, for example, can provide in-depth answers to questions about science, history, or popular culture, making it ideal for knowledge-based applications.
Transfer Learning: ChatGPT is fine-tuned for specific tasks through transfer learning, allowing it to adapt to new domains and use cases. This makes it highly versatile and capable of handling a wide range of use cases, from customer service to language translation. ChatGPT can be fine-tuned for use in medical applications, to provide accurate and relevant medical information to patients.
API Integration: ChatGPT is integrated with an API, which makes it easy to integrate into various applications and use cases. This makes it accessible to a wide range of users, including developers, businesses, and individuals. This, for instance, can be integrated into chatbots, virtual assistants, and other conversational interfaces, providing a more natural and engaging user experience.
Main 5 potential features of “Bard”
AI-powered features in search results: Google is adding AI features to its search results to provide a more intuitive way of navigating and understanding the web.
Conversational AI service (Bard): Bard is a new experimental conversational AI service that leverages Google’s vast intelligence and knowledge base to deliver accurate and high-quality answers to users.
LaMDA-powered: Bard is powered by LaMDA, a language model for dialogue applications developed by Google.
Vast intelligence and knowledge base: Bard draws on information from the web and Google’s vast intelligence and knowledge base to provide fresh and high-quality responses.
User-centric: Google is committed to making search more efficient and effective for users and will continue to improve these offerings in the coming weeks and months.
Are ChatGpt and Bard similar?
ChatGpt and Bard both are NLP-based conversational AI services that aim to provide accurate and relevant responses to users. Both of them draw on a vast intelligence and knowledge base to provide the best answers possible, but they differ in the way they approach this task.
ChatGpt is a generative model that can produce new text based on the input it receives. It uses transfer learning to adapt to specific tasks and use cases, making it highly versatile. ChatGpt’s API integration makes it easy to integrate into various applications and use cases, such as chatbots and virtual assistants, providing a more natural and engaging user experience.
On the other hand, Bard is a new experimental conversational AI service developed by Google. Although the information available about Bard is limited, it is known that it is powered by LaMDA, a language model for dialogue applications, and is designed to draw on information from the web and Google’s vast intelligence and knowledge base to deliver high-quality answers to users. Unlike ChatGpt, Bard is yet to be introduced to the market, so its full capabilities and use cases are yet to be known.
Human future with AIs in their economies
As artificial intelligence continues to advance and integrate into various industries, it’s likely to have a profound impact on the global economy. The widespread use of AIs has the potential to automate many routine tasks, freeing up human workers to focus on more creative and high-level tasks.
Job automation: AI is increasingly automating jobs, leading to a reduction in the number of workers needed in certain industries. This can result in job losses but also can lead to more efficient and profitable businesses.
Improved productivity: AI can help organizations increase productivity by automating repetitive tasks, reducing errors and inefficiencies, and providing real-time insights. This can lead to increased competitiveness and lower costs.
New markets and industries: AI is leading to the creation of new markets and industries, including the development of new products and services. This can result in increased economic growth and innovation.
Disruptive competition: AI is also disrupting traditional business models, leading to the emergence of new competitors and the decline of established players. This can result in increased competition and the need for companies to adapt to changing market conditions.
Changes in the labor market: AI is leading to changes in the labor market, with the demand for highly skilled workers increasing, and the demand for low-skilled workers declining. This can result in wage stagnation for low-skilled workers and wage inflation for highly skilled workers.
This could obviously lead to increased efficiency and productivity, leading to higher economic growth. On the other hand, there are also concerns that widespread automation could lead to job loss and increased income inequality. Nevertheless, the integration of AIs into the global economy is inevitable, and it’s up to governments, businesses, and individuals to ensure that the benefits are shared and the negative consequences are minimized.
