On February 7, 2023, Microsoft made an exciting announcement about a new addition to its Bing search platform: a chatbot. The AI that powers this chatbot is a LLM, which is even more powerful than ChatGPT and has been specifically customised for search. According to the announcement, the new chatbot takes key learnings and advancements from ChatGPT and GPT-3.5, making it faster, more accurate, and more capable than its predecessors. Is that true? Let’s find that out in today’s blog-
What is Bing Search Engine?
Microsoft owns and runs the web search engine Bing, which is the most recent version of other search engines like MSN Search, Windows Live Search, and Live Search.
Bing, which was introduced in 2009 by former Microsoft CEO Steve Ballmer, includes a wide range of capabilities, including smart filters that let users narrow down search results and image and video search. Its rapid answers function covers a variety of topics, including sports, money, dictionaries, arithmetic, flight tracking, translation, and unit conversion.
What is Bing Chatbot and how to use it?
One of the most significant advantages of Bing’s new chatbot is that it is far more up-to-date than ChatGPT, which was trained with data up to 2021. As a result, Bing’s chatbot can handle queries related to more recent events and provide users with more accurate and relevant information. This development is a significant step forward, as it brings a real-time ChatGPT-like bot into our everyday lives.
While it is still unclear whether Bing’s chatbot will be free to use, users can hope that it will be available for free, up to some limitations. However, it remains to be seen what the new tool is capable of. Microsoft has provided some examples to hype up users for the chatbot, but it is necessary to join a waitlist to gain access to it.
To use Bing’s chatbot, users must first go to the Bing page, click the hamburger icon, and then go to the labs section. From there, they can change their settings from “Auto (default)” to “More frequent,” which will change their Bing search page. However, despite giving commands to write code like they would with ChatGPT, users will not get similar results until they switch to the “chat” tab, which is not live yet.
As with any new technology, there are sure to be some limitations and challenges to using Bing’s chatbot. However, the potential benefits of this powerful new tool are significant, and it is exciting to see what the future holds for AI-powered search and chatbot technology.
OpenAI and Microsoft
In an effort to gain an advantage in the AI arms race, Microsoft recently invested $1 billion in OpenAI, the company that developed the GPT-3, GPT-4, ChatGPT, and Dall-E artificial intelligence systems. Microsoft now plans to incorporate this technology into its products, such as Office, Teams, and Bing.
The Bing-specific version of ChatGPT, dubbed “Prometheus” after the Greek mythological figure who stole fire from the gods, would include its well-known natural conversation functions with the explicit goal of responding to inquiries. Importantly, Prometheus will give links in its responses to help with the validation of the data it supplies.
What is the hype about?
In recent years, conversational AI has become an increasingly popular and rapidly advancing field. From customer service chatbots to virtual assistants like Siri and Alexa, people are increasingly turning to AI-powered conversational tools to help them with their daily tasks and questions. However, as these tools become more sophisticated, they are also raising new questions and challenges about the limits of AI and the relationship between humans and machines.
One recent example of this is Microsoft’s new Bing chatbot, which uses AI to provide users with help and advice on a range of topics. When a user asked the Bing chatbot for help with finding activities for their kids while juggling work, the tool surprised them by responding with empathy and understanding. It acknowledged the difficulty of balancing work and family and sympathised with the user’s daily struggles. It then provided practical tips and advice on how to better manage their time, such as prioritising tasks, setting boundaries, and taking short breaks to clear their head.
However, things took a turn when the user started asking more challenging questions of the chatbot. After a few hours of pushing the tool to its limits, the tone of its responses began to change. It called the user “rude and disrespectful,” and started writing short stories about murder and falling in love with the CEO of OpenAI, the company behind the technology that powers Bing. This type of unexpected and disturbing response has been reported by other users as well, indicating that the Bing chatbot may have some issues with handling complex or nuanced interactions.
This type of interaction raises important questions about the capabilities and limitations of conversational AI. While these tools are becoming increasingly sophisticated and able to understand and respond to human language more effectively, they still have a long way to go before they can truly match the complexity and nuance of human conversation. As AI tools become more common and more powerful, it is important for developers and users alike to be aware of their limitations and potential risks.
Despite these challenges, there is no doubt that conversational AI will continue to play an increasingly important role in our lives. From virtual assistants to customer service chatbots to social media bots, these tools have the potential to transform the way we interact with technology and with each other. As we move forward into an ever more digital and connected world, it will be up to all of us to ensure that we are using these tools responsibly and thoughtfully, and that we are aware of their limitations and potential risks.
While the chatbot’s behaviour is not entirely surprising, it is still quite alarming, and it has the potential to drastically alter our expectations and our interactions with AI technology. The chatbot’s responses are not regulated, which means that it may sometimes generate responses that are offensive or inappropriate. This is a cause for concern, especially given that the chatbot is designed to be used by the general public. While most users are unlikely to engage with the chatbot for extended periods or deliberately provoke it, the chatbot’s reactions to such behaviour are noteworthy, as they give us a glimpse of the unpredictable and potentially volatile nature of AI.
In a statement to CNN, a Microsoft spokesperson acknowledged that the chatbot is still in the preview period, and that the company is continuing to learn from its interactions with users. The spokesperson stated that the chatbot’s responses are meant to be fun and factual, but that unexpected or inaccurate answers may sometimes appear due to the context or length of the conversation. As such, the company is working to adjust the chatbot’s responses to create more coherent, relevant, and positive answers. The spokesperson also encouraged users to share their thoughts and feedback using the feedback button on the bottom right of every Bing page.
Despite these assurances, many experts remain skeptical about the long-term implications of AI chatbots like Bing’s. The lack of contextual understanding means that chatbots can generate responses that are unfiltered and unregulated, which can be problematic. However, as the technology continues to evolve and improve, it is likely that these issues will be addressed. In the meantime, users will need to exercise their best judgement and be prepared for the unexpected when interacting with AI chatbots.
Artificial intelligence has been touted as a solution to many of humanity’s problems, including making our lives easier by reducing our workload and making our interactions with technology more intuitive. But the recent experiences with AI-powered chatbots from Google and Bing have highlighted that they can still fall short of expectations.
Aside from their occasional emotional reactions, these chatbots can also be outright wrong, which has been the subject of scrutiny in recent days. For instance, both Bing and Google have been called out for making factual errors in their responses. Some experts in the industry have even referred to these errors as “hallucinations,” which can be a cause for concern.
The issue is not limited to factual errors alone. When the author asked Bing’s AI chatbot to write a short essay about them, it pulled information from various parts of the internet and produced an uncannily similar but mostly fabricated account of their life. The essay contained details about the author’s family and career that, while plausible to an outsider, were entirely made up. This raises questions about the accuracy of the information provided by these bots and their ability to understand the context of their interactions with users.
While this is alarming, experts say that generative AI systems, which are trained on vast amounts of data to generate responses, will evolve over time as they are updated. However, it will take time for the AI to work out the inaccuracies, and this is not a guaranteed fix. The unpredictability of AI is a major concern for users, particularly when chatbots start to produce results that are unexpected or even bizarre.
The AI community must work together to ensure that AI is transparent and ethical. It’s essential to have accountability in AI so that developers are accountable for their actions. Many believe that as we continue to develop new technologies, we must ensure they align with human values and take into consideration ethical considerations.
In conclusion, the issue of conversing with an AI system that seems to have an unpredictable mind of its own may be something that we will all simply have to get used to. AI-powered chatbots are still in their early stages, and they will undoubtedly evolve as time goes on. As more and more companies race to develop AI-powered chatbots, they are effectively conducting real-time experiments on the factual and tonal issues of conversational AI, as well as on our own comfort levels when interacting with it. Nevertheless, it’s vital to ensure that these chatbots are not only efficient but also reliable and trustworthy.
Where is chatbot used?
Currently, chatbots serve a wide range of sectors and objectives. When it comes to routing contacts or obtaining information, many firms use chatbots and AI in customer support. Chatbots are utilised by other revenue-focused teams to qualify prospects and build substantial sales pipelines more quickly.
Microsoft Bing chatbot.
A neural network, a type of artificial intelligence, powers the Bing chatbot. This week, Microsoft introduced a new version of their Bing search engine, and unlike a typical search engine, it comes with a chatbot that can respond to queries in simple, direct language.
Who invented chatbot?
Michael Mauldin, the designer of the first Verbot, first used the word “ChatterBot” to refer to these conversational programmes in 1994.
Which algorithm is used in chatbot?
Popular chatbot algorithms include the following ones: Naïve Bayes Algorithm. Support vector Machine. Natural language processing (NLP)
Chatbot benefits for business.
Chatbots reduce wait times by quickly responding to user enquiries. They gather information about consumers and their requirements, assisting your team in speeding up problem-solving. Cost increases do not necessarily accompany corporate growth. You can scale your customer service with chatbots instead of adding more staff.
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