I have not had a chance to try Bard. Since ChatGPT came first, I’m still experimenting with its capabilities to see how it can assist me in my workflows. Since we’re on this topic of LLMs, I do suggest anyone using them to read up on “prompt engineering”. One drawback of these models is the generation of ‘hallucinations’ or false information. They work by imitating the next ‘token’ (think autocomplete but with attention on context)–but there’s no fact checking, no reflection, no internal monologue. Better prompting helps avoid these cognitive pitfalls of LLMs and will help produce better/more accurate answers. Prompting LLMs is currently an active area of AI research so a lot is still unknown. However, you can definitely find some pointers and best methods on prompting that help you become a more effective user of these tools.