We Tested it for you What Can Google AI Bard Do? Google AI Bard is the latest innovation in artificial intelligence and natural language processing. It is a tool that can generate human-like text based on the prompt or input provided. The tool has been designed to write poems, stories, essays, and even articles. It uses machine learning algorithms to understand the context of the input and generates output that is relevant, coherent, and grammatically correct.
Hey folks, it’s Smith Elon Author of aibard.online here. Yesterday, I received an exciting email from Google inviting me to be one of the first people to test their latest innovation – Google Bard. As you may know, Bard is Google’s response to the wildly popular ChatGPT system from OpenAI, which has become the fastest-growing app in history.
OpenAI has been continuously improving the ChatGPT system since its launch last year, with their recent GPT-4 update being a significant step forward in terms of capabilities. But, Google doesn’t want to be left behind, especially with their major competitor in the search space, Microsoft’s Bing, already integrating AI features powered by GPT-4.
And let’s face it, Google isn’t going to let another giant company eat their highly-lucrative search engine pie. So, they’re rolling out Bard to compete with ChatGPT and Bing.
The waitlist for Google Bard is now open, and you can join and get access now to experience the future of AI chatbots. Learn and join Waitlist of google bard.
Being one of the first to test Bard, I can say that the system is impressive. It uses neural network-based natural language processing to generate text that is coherent, relevant, and grammatically correct. The machine learning algorithms have been trained on a massive corpus of text data, enabling the system to understand the patterns and structures of human language.
With Bard, you can generate a wide range of text, including poems, stories, essays, and articles. The output generated by Bard is often impressive, and it’s clear that Google has put in a lot of effort to ensure that the generated text is of high quality.
In this article, we will explore the features of Google AI Bard, how it works, and test its capabilities by generating a few samples of text.
What is Google AI Bard?
Google AI Bard is a neural network-based natural language processing model that can generate text in response to a given prompt or input. It is part of Google’s broader AI research efforts, which include Google Assistant, Google Translate, and Google Search. The model was trained on a vast corpus of text data to learn the patterns and structures of human language.
So, what are you waiting for? Try Google Bard today and see for yourself what the future of chatbots holds! Learn How to use Google Bard Chatbot.
Advantages of Google Bard
And once it does, Bard will have several advantages in the search space:
- Its fast response times, assuming they remain even once the system is used at scale, are more compatible with a search or voice query response. Waiting 10 seconds for results from an AI search query is fine; waiting 3+ minutes is out of the question. Bard’s speed seems tailored to responding to search requests.
- Bard doesn’t appear to be built to perform general tasks. More often than not, it simply throws up its virtual hands and says “Sorry, I can’t do that.” That suggests that it’s not intended to be a general productivity-enhancement tool like ChatGPT. Google may be laser-focused on the search use case, and are thus deliberately avoiding putting time into expanding Bard’s capabilities in other areas.
- Its interface is clean and easy to use. I can easily see it integrate into Google’s search engine as another tab, alongside things like Images and Scholar.
How Does Google AI Bard Work?
Google AI Bard works by using a deep learning algorithm that consists of three main components: an encoder, a decoder, and a attention mechanism. The encoder takes the input text and converts it into a numerical vector representation. The decoder then generates the output text based on the encoded input vector. The attention mechanism is used to ensure that the generated output is coherent and relevant to the input.
Google AI Bard uses a technique called unsupervised learning, which means that it learns from the data without being explicitly told what to do. It analyzes patterns and structures in the data and uses that information to generate new text.
chatbots such as Google Bard may possess certain limitations and issues, Learn Google Bard Limitations And Issues With Chatbots.
What Can Google AI Bard Do?
Google AI Bard can generate a wide range of text, including:
The output generated by Google AI Bard is often impressive, with the text being coherent, relevant, and grammatically correct. However, the text generated may not always be perfect, and it may require some editing to make it more readable.
The Interface of GBard
Alright, let’s dive into the interface of Google AI Bard. Once I received my invite to test Bard, I eagerly clicked through to the app and accepted the usual Terms of Service. And I must say, I was impressed with the clean and clutter-free design of Bard’s interface. It’s typical of many Google products, and I appreciate the simplicity of it all.
The interface features a text window and a prompt entry field, and that’s pretty much it. However, I did notice that unlike ChatGPT, Bard doesn’t seem to have a chat history tab. This means you can’t easily go back and retrieve your old Bard conversations. It seems that these conversations are designed to be more ephemeral, which may be a downside for some users.
Speed of Google Bard Chatbot
Alright, let me tell you about Bard, it’s lightning-fast! I put it to the test by asking it to write 500 words about Bichon Frises, and in just 9.5 seconds, it delivered a big chunk of text. Now, technically the text was only 329 words long (these Large Language Models aren’t great at counting), but let’s be real, under 10 seconds is still impressive.
But wait, there’s more! Bard delivers its responses all at once, unlike ChatGPT, which types them out as if it’s a person writing into a word processor. That means you get your results quicker and without any unnecessary delays. So if you need fast and accurate text generation, Bard is the way to go.
In short, Bard is way faster. Here’s their respective Words per Minute rates, based on my testing:
- ChatGPT: 141 words per minute
- Bard: 2,192 words per minute
Bard AI Capabilities
So, Bard seems to be winning the beauty contest and the speed race, but once you start looking at the content it generates, the system’s performance quickly falls apart. I mean, let’s face it, Bard’s interface is littered with disclaimers about its capabilities. Google is being upfront about the fact that “some of the responses may be inaccurate” and that Bard has substantial guardrails to keep things in check.
These guardrails include things like the inability to write code. I mean, let’s be real, Bard can’t help you with coding just yet. It’s still learning to code, and responses about code aren’t officially supported for now. There are also built-in safety controls that prevent malicious or dangerous answers. And when Bard is faced with limitations that may cause it to refuse to write a response, it simply won’t, instead of providing a response that may be incorrect or beyond its abilities.
Overall, it seems like Bard has some work to do before it can truly compete with the big dogs. But hey, let’s give it some credit for trying, right? At the end of the day, it’s up to us as users to determine whether Bard is the right tool for the job.
Writing a Blog Post With AI Bard
So, I decided to test out Google AI Bard to see what it was capable of. I asked it to write a blog post answering the question, “Are Bichon Frises Hypoallergenic?” and the results were lackluster, to say the least. The post it generated was generic and lacked organization and flow. It seemed like a mere summary of data pulled from the top-ranking pages on Google.
In contrast, when I asked ChatGPT to write a similar post, I was pleasantly surprised by the results. The post had a clear introduction, narrative structure, and conclusion. It was informative, helpful, and something I would actually read.
Furthermore, ChatGPT’s post was in line with the intent of my query, whereas Bard’s response was rambling and generic. When I asked Bard to make some updates to the post, such as adding links to relevant articles and turning headings into H2 tags, it refused to comply. ChatGPT, on the other hand, performed these tasks without hesitation and with accuracy.
Overall, while Google AI Bard is an impressive tool, ChatGPT’s capabilities and user-friendliness make it the clear winner in this case.
Answering a Search Style Query
Alright, folks, let’s talk about my latest experiment with Google AI Bard. As you know, this tool has been making waves in the world of artificial intelligence and natural language processing, so I decided to put it to the test.
Being the CEO of Tesla and SpaceX, I’m always looking for ways to improve technology, and I thought to myself, “Why not take a stab at asking Bard a search-style query?” After all, Google dominates the search space, so I hoped the model would do better than its competitor here.
To test its search abilities, I threw a curveball and gave Bard the prompt: “What are some fun things to do in Walnut Creek, California?”
Bard responded with a bulleted list of activities. Now, I must admit, the information was nominally accurate. However, upon closer inspection, lots of things were off. For example, Bard advised me to “take a bike ride through the Lindsay Wildlife Experience.”
Now, as you may know, Lindsay Wildlife is an indoor museum. I doubt they would appreciate me riding my bike through there! All in all, Bard has some work to do before it can compete with the likes of Google when it comes to search queries.
Final Words of Testing Google Bard
So, I gave Google AI Bard a test run, and I have to say, it has some potential, but it’s currently lagging behind ChatGPT in terms of overall capabilities.
When compared to ChatGPT’s GPT-3, Bard today feels like it’s a bit behind in terms of generating text that’s accurate and specific to the query. However, it falls flat when it comes to understanding the intent behind the input and human knowledge.
Another noticeable difference between the two AI models is that Bard seems to be far more conservative and safety-conscious than ChatGPT, even in its first iteration. While ChatGPT was always willing to try giving a response, Bard seems to be much more comfortable saying “no.”
I believe this cautious approach is likely reflective of Google’s principles of AI innovation, which prioritize safety and scientific excellence above all else. Although this is good for society in the long run, it makes Bard much less useful for people who are looking to improve their productivity.
Bard, in my opinion, seems to be more focused on search-related tasks. While it may not be performing well in that area at present, I believe that with additional training data and time, it is highly likely that its responses will improve significantly.
So, I did some early testing on Google AI Bard, and it seems like they’re not trying to compete with OpenAI in building a model that can do everything. They’re focusing on integrating generative AI into their already successful search business.
Right now, Bard has some limitations, but recent advancements in generative AI have shown that models can improve at a rapid pace. As Bard gets better, it will undoubtedly produce more comprehensive and helpful responses.
If Google puts all its energy into incorporating these responses into its search engine, there’s a good chance they could become the leaders in that space. It’s exciting to see how quickly AI is advancing and the potential it holds for revolutionizing the way we interact with technology.