Google Fuses Bard and PaLM to Make Conversation AI More Logical

Eleanor Lee


Google Fuses Bard and PaLM to Make Conversation AI More Logical

Google has been pushing the boundaries of conversational AI with ChatGPT and other language models such as OpenAI's Bard. Despite some success stories, their responses to basic arithmetic and logic questions were often laughable. In 2021, Google announced its long-term vision for a new Pathways model, which was then fused with the existing Bard model in 2022. This fusion is hoped to help with logic capabilities and pave the way for autonomous code generation in the future.

The new hybrid Google/Bard language model is called the Pathways Language Model (PaLM). It has 540 billion parameters trained using Pathways, making it much more powerful than just simple chatbot conversations. As well as being able to respond more accurately to complex logical questions, it can also generate unique codes from natural language commands – something that wasn’t possible before this fusion occurred. For example, if you asked“, generate a program that will do X”, then it could actually create an executable piece of code that does exactly what you asked for – all without any human input or supervision involved!

Additionally, combining elements of both models into one unified system means that developers are now able to use fewer resources when creating their own conversational AI applications. This makes development quicker and cheaper since there’s no need to juggle multiple components at once – something which would have been necessary before this merger happened!

The potential implications of this technology are huge – not only could we see some incredible breakthroughs in artificial intelligence but also advancements in areas like medical diagnosis, where doctors will be able to get quick answers from a machine rather than having to manually look up individual symptoms or disease names themselves!

In summary, Google's fusion of PaLM with Bard marks an important milestone in conversational AI development, paving the way towards faster development times and better accuracy when responding to logical queries posed by humans or machines alike! With advanced voice recognition systems already available on many smart devices today, these developments may soon become commonplace within our daily lives, revolutionizing how we interact with technology going forward!