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FutureStarrNews About ChatGPT Bard and AI
Just over one month after Microsoft introduced ChatGPT into Bing, Google is joining the party. They're launching Bard, an artificial intelligence chatbot that draws information from across the web.
Like ChatGPT, Bard relies on a "large language model." This means it uses extensive data and computing methods to anticipate how words will collaborate effectively.
Google has joined the AI fight, taking on Microsoft-backed OpenAI with its own chatbot service called Bard. Before going public with its system in coming weeks, they are opening it up to "trusted testers".
CEO Sundar Pichai revealed in a blog post that the service will generate textual responses based on information pulled from the web. He described it as an attempt to combine all of humanity's wisdom with the power, intelligence and creativity of our large language models.
He also notes that the new service will be able to answer practical questions, such as how to plan a baby shower or which ingredients make up a meal from a grocery list. It remains unclear how Google plans on integrating live data or information from the web into Bard's responses, but it could prove useful for users who want more insight into current events.
ChatGPT, released last November by research firm OpenAI, was trained on an impressive amount of text data and is expected to become hugely popular. It reportedly gained one million users within five days and 100 million monthly active users within two months.
According to a Monday blog post from Pichai, the search engine giant will begin rolling out Bard to a select group of "trusted testers" this week with plans for public release within a few weeks. Bard is built upon Google's powerful AI language model LaMDA.
Google has yet to specify how they plan to utilize Bard for search, but the service will likely be integrated into their browser to assist users with page navigation. It is also expected to be integrated with Bing and Edge, enabling users to interact with the chatbot directly through their web browser.
It remains uncertain when or how much the service will cost to use. Google has made no secret of their intent to dominate AI technology; they have been investing heavily in this space for several years and have even created generative AI techniques such as Transformer architecture.
Last week, Google and Microsoft took to the stage to unveil their AI-powered search tools. Microsoft's Bing and Edge browser have both been enhanced with OpenAI's ChatGPT technology, while Google unveiled its own ChatGPT rival: Bard.
Bard, like its rival, is an experimental conversational AI that learns from human interaction to become better at answering questions and statements. It utilizes LaMDA (Language Model for Dialogue Applications) language models to answer queries and create content.
At present, the chatbot is only accessible to "trusted testers." To access it, users must click on a button in the bottom-right corner of search results pages on both Bing and Edge; users will need to click on it then provide their password in order to gain access.
Though ChatGPT and Bard feature impressive technology, it raises numerous concerns regarding data protection, the reliability of information sources, regulation, costs, and risks to consumers. Furthermore, companies developing these technologies need to be accountable and transparent while adhering to relevant laws and standards.
ChatGPT and Bard have been making waves recently, garnering attention from journalists, investors, and tech users alike. While some criticize them for not being accurate enough, others laud their creativity and writing abilities.
Some are worried that these new AI-driven tools could promote a culture of misinformation and deception, particularly when it comes to medical and legal advice. On the contrary, some researchers believe AI-powered search can actually improve results by providing more personalized, pertinent queries.
However, it's essential to recognize that these tools have a ways to go before they can fully replace humans. Therefore, they should only be utilized as an absolute last resort and in combination with other human sources of information.
One major flaw with ChatGPT is its high hallucination rate, meaning it may make up answers to your questions when it doesn't know the correct response. This is especially evident for Bard which reportedly has a hallucination rate ranging from 15%-20%.
Bard is Google's experimental conversational AI that will soon be accessible to the general public. It utilizes the LaMDA lightweight model to simplify complex topics into concise answers digestible by people of all ages.
The tool strives to make learning new things simpler by providing bite-sized information about a topic, which can be an excellent way to spark children's curiosity. For instance, you can ask Bard to explain the James Webb Space Telescope to your nine-year old and they'll understand the answer without any difficulty.
Sundar Pichai, Google CEO, shared a blog post outlining their plans for Bard. According to Pichai, Bard will bring together the power of Google's large language models with human creativity and intelligence in order to deliver more useful results than what ChatGPT currently provides. As such, Pichai hopes Bard becomes an integral part of Google's search engine.
ChatGPT is currently the leader in chatbot technology and provides businesses with a cost-effective alternative to hiring expensive human support teams. However, ChatGPT has had several issues recently, such as an embarrassing error which raised doubts about its dependability.
It's unclear what type of information is being utilized to generate its answers, but analysts are certain it will draw on a lot of current data. Furthermore, because the system utilizes a real-time information model, errors like the one experienced last week should be less frequent occurrences.
Bard and ChatGPT will be released to the public in the coming weeks, but they must contend with competition from Microsoft's Bing. It remains uncertain how this battle will pan out, but it could be a pivotal one that determines whether Google retains its title as the world's leading search engine.
ChatGPT and Bard are both well-positioned to win the AI leadership race, though each has their own distinct advantages that will ultimately decide who prevails. ChatGPT's knowledge base is limited to events up to 2021 while Bard can offer more up-to-date data and also monetize Machine Learning in ways ChatGPT cannot.
Chatbots have revolutionized how people communicate, yet there are some limitations that AI models like Bard cannot overcome. One of them is a lack of human empathy which may erode customers' trust in a company.
Another limitation of AI models is their dependence on technology and connectivity. If there's an outage, these AI programs may not be able to offer services in real-time for users.
Business, particularly those offering customer support over the phone and online, must prioritize accuracy in providing accurate information to build and sustain trust in their relationship.
Another potential issue is bias. AI models like ChatGPT were trained on data that reflects both their creators' and society's prejudices, potentially leading to biased responses and perpetuating harmful stereotypes.
Therefore, creating a conversational AI model that offers high-quality responses without infringing upon individuals' rights is challenging. Companies need to take into account numerous issues when designing their AI platforms.
Thankfully, there are solutions to these problems. At Limitless GigCX, our Experts use AI technology to give precise answers and assist customers in finding solutions. Furthermore, they draw upon their own extensive experience as well as carefully maintained knowledge libraries to deliver the most up-to-date info possible.
However, it's essential to remember that these tools should only be employed in specific instances and purposes. They cannot handle complex customer support problems where a more robust solution may be necessary.
Bard and ChatGPT both have their limitations, yet they can still be useful for certain tasks. These applications provide data analysis, synthesizing it, creating new content and increasing customer engagement by helping people solve problems promptly. The key is selecting the correct platform for each purpose while monitoring performance metrics and user feedback regularly.