Google Bard: Understand the main differences with Chat GPT
Emerging technologies
Last week, one of the standout announcements in the world of technology was made by Google with the launch of BARD, their own artificial intelligence that will bring significant changes to the traditional search engine and transform how businesses position their websites.
In this article, we will explain what Google BARD and Chat GPT are, analyze their strengths and weaknesses in various scenarios, and the differences and similarities between these notable artificial intelligences.
Now, we should take a closer look at these two major benchmarks of artificial intelligence, how they work, and how far we can leverage them.
What is BARD?
BARD (Bidirectional Encoder Representations from Transformers) is another artificial intelligence, based on a language model developed by researchers at the University of California, Berkeley. Unlike ChatGPT, Google BARD focuses on natural language processing for specific tasks, such as answering questions or essay writing. Its bidirectional design allows for a deeper understanding of context and a more accurate and coherent text generation. It has proven to be particularly effective in tasks that require a detailed understanding of content and the ability to answer specific questions.
Limitations and considerations of BARD
This artificial intelligence has certain limitations, as it is designed for specific tasks, so it may be less versatile compared to more general models like ChatGPT. Furthermore, since BARD requires supervised training and annotated data, it may struggle to adapt to new domains or scenarios not covered during its training. This highlights the importance of having adequate data sets and constant supervision to ensure its accuracy and coherence in text generation.
What is Chat GPT?
Chat GPT is an artificial intelligence with a language model developed by OpenAI, capable of generating autonomous text based on the GPT (Generative Pre-trained Transformer) architecture and is used in autonomous learning techniques to generate coherent and relevant responses based on text inputs provided by users. Its ability to mimic human language has been applied in various areas, such as virtual assistants, customer support, and content generation.
Limitations and challenges of Chat GPT
Chat GPT faces certain limitations, due to its pattern-based text generation approach and previous data, it may produce responses that lack coherence in certain contexts. Also, it may be susceptible to generating false or incorrect information if it is provided with inadequate training data. These challenges raise the need for a more sophisticated approach to natural language interaction in artificial intelligence.
Differences between Google Bard and Chat GPT
Next, we will analyze some strengths and weaknesses of Chat GPT and BARD in different usage contexts. The choice between both tools will depend on the specific requirements of each project and the balance between versatility and precision.
Aspect
ChatGPT
BARD
Approach
Its generative and pattern-based approach allows it to generate contextually relevant responses.
Specific tasks with the ability to understand context, providing greater precision in text generation.
Capabilities
Open conversation, ability to maintain fluid and natural dialogues with users.
Precise responses for defined tasks, such as answering questions or drafting specialized content like dialogues and conversations.
Nature of text
Conversational language, it receives and generates only text.
More structured and technical language, generating text and related images.
Voice search
Training
Unsupervised data, as its database ends in 2021.
Supervised data for specific tasks. Since it manages real-time information.
Accuracy
Less accurate in specialized contexts
Higher accuracy in specific tasks
Flexibility
Greater versatility in different domains, generating code snippets.
It has more than 14 extensions for Chrome and other applications.
Less versatility, focused on concrete tasks.
Identifies 20 programming languages.
Exports responses to Gmail and Google Docs.
Limitations
Incoherent responses in certain contexts
Need for constant training
Performance
Excellent in generating responses with a single message.
Excellent in specific tasks, providing different responses.
Applications
It is an ideal choice for chatbot applications, virtual assistants, and customer support where conversational interaction and similarity to human language are prioritized.
Can cite the source of the response.
Searches for specific responses, technical assistance, for applications where precision and accuracy are fundamental, such as essay writing or report generation.
The choice will depend on your needs and objectives. If you are looking for fluid conversational interactions, Chat GPT may be the right choice. On the other hand, if you require precise responses and specific tasks, BARD may be more appropriate.
What advancements are expected in the future of natural language generation in AI?
Language models are expected to continue evolving to achieve even more precise and contextually relevant text comprehension and generation. Furthermore, the combination of generative and task-based approaches promises to offer more versatile and powerful solutions in different areas.
We invite you to familiarize yourself with other artificial intelligences that are, indeed, more powerful than the two previously mentioned, and that can help you in your daily life.
In conclusion, both ChatGPT and BARD are powerful tools in natural language processing. The choice between them will depend on the needs and objectives of the project, considering factors such as the nature of the interactions, the required precision, and adaptability to different domains. Exploring and leveraging these technologies offers the opportunity to improve user interaction and provide more accurate and relevant responses in the field of artificial intelligence.
It is important to keep in mind that artificial intelligence is a great tool to facilitate tasks in human beings, this does not mean that AI will do all the work, as it will need a person to give it critical and strategic awareness to complete the flow. It is also essential to bear in mind that these intelligences are evolving, therefore, they have many possibilities for improvement over time.
