Google has launched a new AI chatbot rival to ChatGPT, and it could be rolled out within weeks. Bard is currently undergoing testing by a select group and will reportedly be a 'lightweight' version of existing language model, Lamda.
"Bard seeks to combine the breadth of the world's knowledge with the power, intelligence, and creativity of our large language models," wrote boss, Sundar Pichai, in a blog post.
Currently, only a small number of people have access to the Google Bard AI link for testing purposes. To reduce the amount of time and energy spent on computation, Google is developing a “lightweight model version of LaMDA.”
Google Bard AI chatbot, known as Bard, is unfortunately not yet widely available for use. However, once the Google Bard AI link is shared, it will likely be integrated into Google Search and can be accessed by asking questions through the search bar
As powerful as OpenAI's language model ChatGPT is, it is not invincible. The GPT series of language models, including ChatGPT, are based on a deep learning architecture known as transformer. While they are great at generating human-like responses, they still have limitations. One potential challenger to ChatGPT is the new language model called BARD (Bayesian Active Recurrent Deterministic) developed by EleutherAI, a non-profit research organization.
BARD, like ChatGPT, is also a transformer-based language model. However, it differs in several key ways that could make it more effective than ChatGPT in certain tasks. First, BARD uses a Bayesian approach to language modeling, allowing it to make probabilistic predictions and to generate multiple answers to the same question. This can be particularly useful in tasks that require more nuanced answers, such as creative writing or answering open-ended questions.
Another advantage of BARD is its use of active learning. This allows the model to actively seek out new data and feedback to improve its performance, rather than relying solely on the pre-existing training data. This makes it well suited for tasks that require continuous adaptation and improvement, such as customer service or scientific research.
Furthermore, BARD is deterministic, meaning that given the same input, it will always produce the same output. This is in contrast to models like ChatGPT, which are probabilistic and can generate different responses even for the same input. The deterministic nature of BARD makes it more transparent and predictable, which can be important in safety-critical applications.
Finally, BARD is designed to be highly scalable and efficient, making it well-suited for deployment in real-world applications. This is in contrast to ChatGPT, which requires a large amount of computational resources to run and can be slow for real-time applications.
In conclusion, while ChatGPT is a formidable language model, it is not without its limitations. BARD, with its Bayesian approach, active learning, deterministic nature, and scalability, has the potential to outperform ChatGPT in certain tasks and real-world applications. As language models continue to evolve and advance, it will be interesting to see how they compare and how they can be used to solve the challenges of today and tomorrow.