why my jwt_decode not working? TypeError: jwt_decode__WEBPACK_IMPORTED_MODULE_4__ is not a function. the I found : import { jwtDecode } from 'jwt-decode';
I wonder how to send notification using Supabase with this Notification API. I try to find some tutorial about it in Google but there is no any tutorial
Great video, thank you! What does it mean if permissions is set to "default"? Is that just the way it always is prior to the user accepting or denying?
Hello, index.html Using both async and defer together is technically allowed, but it does not follow the intended usage of these attributes and can cause confusion. According to the HTML specification, if both attributes are present, the async attribute takes precedence, and the defer attribute is ignore.
hi its nt working-- The model `gpt-4` does not exist or you do not have access to it. pls help. i tried different gpt-3.5-turbo, its says quota insufficient even though its not
Is there any one know why this button can't be displayed and the hook useGoogleLogin is not responded when using the webview of react native. How to solved that? Thanks
I was losing chat messages, and after hours of debugging , I found out that the state update was not the best. It is recommended to use the concept of "prevState" when updating a state that relies on an older version, in this example, instead of doing something like setMessages([...messages, newMessage]); Do this: setMessages((prevMessages) => [...prevMessages, newMessage]);
I can't get this to work. I can move items, but items in the source as well as the target area affected by the dnd get hidden and don't reappear. The item arrays get adjusted just fine but the ui just does not render the contents properly
Thanks for the explanation. When storing embeddings, how does the system determine which phrase or words are similar to each other ? Does it assign weights according to some previous train or knowledge? Also, in the VectorDB , do we have the text associated with embedding or it's just the arrays? If so, the system needs to convert it to text again when retreiving the data?
2:50 I don't understand how text is grouped. Who decides or what decides they are grouped by the fact they are athletes and not their nationality? Or why is everything grouped together that says "Cooper" and why isn't it grouped together with all youtubers, humans, or programmers?
It's a bit of a simplified model. What's not really shown here is that it's not embedded in 3 dimensions, but with thousands of dimensions. Some concepts may be close to each other in some dimensions, but far away from each other in other dimensions. Again, even this is a very simplified mental model.
