Google's AI chatbot, Bard, is set to receive an upgrade in the form of a more complex language model. Currently based on the LaMDA model, Bard is expected to switch to the larger PaLM dataset. This move is expected to significantly improve the accuracy and diversity of responses generated by the chatbot.
 |
| Google Bard: Moving Towards a More Complex Language Model |
The LaMDA model used by Bard is trained with 137 billion model parameters. In comparison, PaLM is trained with a massive 540 billion parameters. This means that Bard will have access to a much larger set of data and will be better equipped to understand user requests and provide more relevant answers. Furthermore, the new language model is expected to improve the chatbot's ability to generate mathematical and logical answers.
The move towards a more complex language model is significant for Bard, as the chatbot has been criticized for frequently publishing misinformation. For example, last week, it was reported that Bing and Bard were spreading falsehoods about each other's AI. With the upgrade to PaLM, Bard should be able to provide more accurate information and reduce the instances of misinformation.
Currently, Bard is still in an experimental phase, and only a few testers have access to the tool. However, the chatbot should be available to the public in the coming weeks. While there is no exact release date yet, it is expected to be announced soon.
In conclusion, the move towards a more complex language model for Bard is a significant step towards improving the accuracy and reliability of the chatbot. With the switch to PaLM, users can expect more varied and precise responses to their queries. As AI chatbots become increasingly prevalent, this development is a positive sign for the future of AI-powered communication tools.