artificial intelligence (ai) is very trendy today due to its use in a variety of applications. Its most popular use case is OpenAI’s ChatGPT (an ai-powered chatbot) that can answer a large number of queries. A close ally of ChatGPT is Google’s BARD (Best Accessible and Responsible Development) launched in June 2021.
Now let’s dig deeper to understand which of these ai/” rel=”noopener” target=”_blank”>great language models is better.
OpenAI’s ChatGPT has been trained using the transformer model. This model can synthesize massive texts to discover linguistic patterns and is useful for any type of query. Both models can provide answers to a variety of queries. The key differentiator, of course, is in the way these models are trained and built. The way they use natural language processing to generate a human-like response.
To date, there are many options when it comes to selecting an ai chatbot with conversational capabilities. A comparison is made below to help evaluate the pros and cons of each and choose the best one.
ChatGPT by OpenAI
| Advantages | Cons |
|
Good for generating text as long-form content. |
You cannot access the web browser as your data sources have a cutoff of 2021. |
| It offers a collaborative experience that allows you to share conversations with others. | It comes with long, confusing answers that make the answers difficult to scan. |
| It consists of a complete set of plugins that offer more use cases with varied applications. | You need to check your facts, as you are immune to hallucinations and poor reasoning. |
Google BARD
| Advantages | Cons |
| Free Internet access thanks to Google search | Susceptible to hallucinations, so the result cannot be taken literally. |
| Efficient to display information from Google search. | Unreliable sources, so facts need to be double-checked. |
| It has a user-friendly interface with human-like responses. | It has no plugins or integrations, so the experience is quite isolated. |
- Customer service: Good at answering frequently asked customer questions such as shipping and returns procedures, products or services, and technical support concerns. Reduces the workload of customer service professionals by improving response time through fast and accurate responses.
- Language translation: Text translations for chats, emails, and text documents can be performed in real time in multiple languages. It can also be used to improve the quality of machine translation systems and assist with multilingual customer service by translating customer questions and comments in real time.
- Content generation: You can create summaries of long texts such as articles or reports. The summary of the original text can be created by accurately reflecting its main ideas by evaluating the text. ChatGPT can be trained to generate text similar in style and grammar to certain information, such as social media posts, email marketing texts, or other types of content.
- Education and Research: ChatGPT can offer an individual learning experience to students by evaluating their behaviors. You can assist with research by examining materials to identify important facts. Researchers and students who require rapid access and examination of materials may find it fruitful. It can also help assess students by giving them instant feedback on written assignments.
- Creative writing: You can evaluate pieces of content and offer feedback on aspects such as writing style, tone, and structure to help writers hone their skills. You can also provide synonyms, related words, or alternative wording suggestions.
- ai Personal Assistant: It can help with time management and ensure that one never forgets to complete an essential step in a process or misses an appointment.
- Automated tasks: Use Google ai to perform a variety of tasks instantly. This includes making restaurant reservations or arranging trips. It can also be used to buy things and locate them using this chatbot.
Therefore, we can see that both ChatGPT and BARD are evolving day by day and releasing their latest versions. Both LLMs have their pros and cons, but selecting the best LLM will depend on the purpose of its use and getting used to irritants such as hallucinations.
Roger has over a decade of experience collecting and delivering machine learning and artificial intelligence training datasets. He has experience in other related fields such as visual search, virtual assistant, chatbot training, and transcription services. He has practical experience in testing and quality control of products and results.
