Back to the topic of the thread....
Recently, with the release of Gemini 3.0 pro, it has added the ability to remember the context for individual conversations (threads) AND to link between them.
Previously, a conversation would be isolated - meaning that as the user, you would need to prime a new conversation with the relevant facts and questions every time. Now I can build a context for the conversation - say "Spindle Tachometer" and whenever I reference that thread, the full context is available in the new thread.
Secondly, as
@Susquatch said
I like the AI that I have come to know.
The Gemini Pro system allows the user to create a personalized set of SOPs (standard operating procedures) which tune the way that the AI responds - such as tone of voice, bulleted summaries rather than narrative, and probably the most important instruction "If you do not know the answer with a high degree of certainty, then do not hallucinate, simply say I do not know." !
I have been "training" this AI for a while now and I'm getting quite comfortable with how the AI has developed as an assistant.
This tuning and training can include specific expertise as well. I read a lot of datasheets for components which is a tedious process, but now I load all the datasheets I can find on a subject, and tell the AI that it is an expert in "Texas Instruments Hall Sensors" for example.
During the project, I can ask the AI a very detailed, specific question about SPI bus timing and with the full spectrum of knowledge about hall sensors in general and the TI product in particular, it will quickly and accurately answer my question. And I am confident in the answer.
The benefit is that I can cover a lot of ground very quickly when scoping a project. Each glob of expertise I am training remains (private?) to my account, and always available across conversations.
Its like having a smart post-grad assistant with access to the world's library. Amazing!
🙂