Google’s Bard business model is not exactly to compete against ChatGPT but to assist Google search with logical answers. Search ads form 60% of Google’s revenue, so obviously, they don’t want to kill it. ChatGPT is a language generation model, while Bard is a text completion model. Both have their own strengths and limitations and can be successful in their respective domains.
Bard is still in the testing stage while ChatGPT has passed Google’s coding interview for the level 3 engineer test with a $183k salary package. This means ChatGPT easily passes “technical level” questions but struggles to answer “logical questions”. For example –
- How many alphabets does the English language have — this is a Google search engine answer.
- Is English easier to learn than Chinese for a Chinese resident? – This is where Bard as an AI steps in to assist Google search. Bard will provide logical reasoning on why it’s easier for a Chinese to learn English.
So Google has a search engine ‘Chrome” along with ‘Bard” as an AI – its search engine comes with AI tools, whereas ChatGPT lacks a search engine. This is where MS steps in with a multi-billion dollar investment in ChatGPT. Microsoft is about to bring the AI chatbot ChatGPT to its search engine “Bing”. Once this is out in market people will flock to use it for user experience. Google will closely observe how people use it, it drawbacks and challenges, how much people are willing to pay — and will attempt to create a better version for ‘Bard’.
Which one is more power full among Google Bard or Chartgpt
Google has a search engine ‘Chrome” along with ‘Bard” as an AI – its search engine comes with AI tools, whereas ChatGPT lacks a search engine. This is where MS steps in with a multi-billion dollar investment in ChatGPT. Microsoft is about to bring the AI chatbot ChatGPT to its search engine “Bing”. Once this is out in market people will flock to use it for user experience. Google will closely observe how people use it, it drawbacks and challenges, how much people are willing to pay — and will attempt to create a better version for ‘Bard’.
- Bard will have access to the most up-to-date information and will be able to deliver more up-to-date information
- This will help Bard to deliver more reliable facts to consumers.
Next, ChatGPT can answer in text form, and generate speeches, songs, research articles, school essays, etc – But the ultimate aim of chatbots should be to replace 100s of weblinks into one definitive answer. This is where ChatGPT lags behind, opening up a realm of risk and uncertainty, including providing false information on topics such as racism, ageism, and sexism Google’s Bard is very keen to avoid this error – and is much more secretive and cautious about them.
Bard is built on a lightweight version of “Lamda” that can assist in a logical definitive answer which ChatGPT can’t. Bard can easily and effortlessly combine the breadth of the world’s knowledge in its language model. This helps you- as a user- to quickly understand the larger perspective and learn more from search engines.
However, its full potential is yet to be tested…. But …. Hold on…. Not done yet …..
Microsoft is planning to integrate ChatGPT into its Word, Excel, PowerPoint, Outlook, and other Office apps. 23% of Microsoft’s revenue comes from Office products, compared to the 6% from ads on Bing. So even this is bigger boon for Microsoft as it cements its number 1 spot for office/productivity applications.
Google has also invested $400 million in “Anthropic”- an AI startup that’s considered rival for ChatGPT. Here Anthropic will use Google’s cloud computing service to generate text and art – within seconds …. yes , within seconds. Anthropic’s language model assistant, Claude, hasn’t yet been released to the public but will happen within few weeks.
This means, Google will not just be a chatbot or search engine but a bigger driver of technological change, creating new opportunities for growth and improved services across all industries. So you as a user, as an entrepreneur can tap into a reliable and responsible AI cloud service to build your business rapidly.
This opens a new era of Business automation
- ChatGPT + MS Bing versus Google search + Bard
- ChatGPT + MS Word versus Google docs+ Bard
- ChatGPT + MS Powerpoint versus Google slide + Bard
- ChatGPT + MS Excel versus Google sheets + Bard
- ChatGPT + MS Outlook versus Google mail + Bard
Meanwhile, Google’s DeepMind is releasing it’s own chatbot version called “sparrow” soon. Its believed to deliver accurate information along with citing specific source of information — which ChatGPT lacks.
So the real competition is between Microsoft and Google in getting access to advanced AI systems.
Ultimately, Google has bigger and better talent and funds to compete
DISCOVER Google shares plunge after its new ChatGPT AI competitor gives wrong answer to question
How will Google’s “Bard” compare to ChatGPT?
Google’s “Bard” is a new language model developed by Google Research, and it’s not yet publicly available. However, based on the information that has been published so far, it appears that Bard is a generative model that can generate text in response to prompts, similar to OpenAI’s GPT-3 and GPT-3’s sub-model, ChatGPT.
In general, it’s likely that Bard will have its own unique capabilities and limitations, and it will be interesting to see how it performs compared to other language models, including ChatGPT.
What are Google Bard features? According to google
Google Bard is a tool that helps website owners and digital marketers to improve the performance of their websites by providing actionable insights and recommendations. Google Bards are the low-level primitives for generating text in GPT-3, a language model developed by OpenAI. Some of the key features of Google Bards include:
- Unconditional text generation: Bards can generate text without any constraints or conditions, making them ideal for tasks such as language translation, content creation, and more.
- Conditional text generation: Bards can also generate text based on specific conditions or inputs, such as a prompt or a set of keywords.
- Fine-tuning: Bards can be fine-tuned to generate text in specific domains or styles by training them on specific text corpora.
- Customizable: Bards can be configured to generate text with varying degrees of creativity and originality, depending on the desired use case.
- Compatibility with other OpenAI models: Bards can be used in conjunction with other OpenAI models, such as GPT-3, to perform advanced language-related tasks
What function is Google Bard?
It’s possible that you might be referring to Google BERT (Bidirectional Encoder Representations from Transformers), which is a deep learning algorithm used for natural language processing tasks such as question answering and sentiment analysis. BERT is one of the most advanced models developed by Google for NLP, and has been trained on a large corpus of text data, allowing it to have a deep understanding of the context and meaning of words in a sentence. This has made BERT a powerful tool for many NLP applications and it has been widely adopted by many organizations.
Can Google BARD AI beat CHAT GPT?
Both BARD and GPT are cutting-edge AI technologies designed to perform natural language processing tasks, but they have different strengths and weaknesses.
BARD is designed to improve the accessibility of books for people with print disabilities. It uses AI to generate audio descriptions of images and to identify text regions, making it easier for people with visual impairments to access books and understand their content.
On the other hand, GPT is a powerful language model that is capable of generating human-like text and performing various natural language processing tasks, such as language translation, text summarization, and question-answering.
So, it is not a matter of one AI technology “beating” the other, but rather a matter of choosing the appropriate technology for the specific task at hand. For example, for the task of improving accessibility for people with print disabilities, BARD would be a better choice than GPT. But for a task such as text generation or language translation, GPT would be the preferred choice.
What Is my opinions on Google BARD?
BARD has been shown to achieve state-of-the-art results on a variety of tasks, including molecular graph generation and code generation from natural language inputs. It has also been used to develop new models for discrete optimization problems, such as the traveling salesman problem and the knapsack problem.Overall, BARD is a promising development in the field of language models and has the potential to have a significant impact on a variety of applications, including chemistry, programming, and optimization.
