This is so valuable! The idea of embedding enrichment with summarizations will be very useful to one of my projects. Thanks a lot for sharing! Congrats from Brazil!
Great video!! Thanks for sharing the code! One question though: Inside A:tier code -> "print_ai_answer" function, you wrote: for like in extracted_personality["likes"]: text_to_embed = f"The user likes {like}" current_embeddings = embedding_client.embed_query(text_to_embed) dislike_with_metadata = { "id": str(uuid.uuid4()), "values": current_embeddings, "metadata": {"type": "likes", "content": like} } embeddings.append(dislike_with_metadata) Was it not supposed to be something like "likes_with_metadata ={...}" and then "embeddings.append(likes_with_metadata)" ? I guess repeating "dislike_with_metadata" does not make a difference for the code functionality, but it was a bit confusing to understand the code for a moment. Thanks!
I think there should be a microphone in the middle of the audience. You had an insightful discussion with them, amazing audience!
Great idea!
Wonderful narration
This is so valuable! The idea of embedding enrichment with summarizations will be very useful to one of my projects. Thanks a lot for sharing! Congrats from Brazil!
Glad you found it useful
Thanks for sharing these meetings!
Hope you found it useful
you're a great teacher!
Thanks! Let me know if you have any feedbacks
Maybe S tier would be using Reranking (Jina) to also select memories based off the users intent.
Great video!! Thanks for sharing the code! One question though:
Inside A:tier code -> "print_ai_answer" function, you wrote:
for like in extracted_personality["likes"]:
text_to_embed = f"The user likes {like}"
current_embeddings = embedding_client.embed_query(text_to_embed)
dislike_with_metadata = {
"id": str(uuid.uuid4()), "values": current_embeddings, "metadata": {"type": "likes", "content": like}
}
embeddings.append(dislike_with_metadata)
Was it not supposed to be something like "likes_with_metadata ={...}" and then "embeddings.append(likes_with_metadata)" ?
I guess repeating "dislike_with_metadata" does not make a difference for the code functionality, but it was a bit confusing to understand the code for a moment.
Thanks!
Good catch!
The camera swivel is an L when you get excited / nervous
Yeah it’s a bit too sensitive
Can anyone share the anthropic system prompt different, can't find it anywhere
Great stuff man. What’s S-tier though? Maybe I missed it
I forgot to mentioned the S tier at the end. It's
Is the camera automatic tracking to ur face? Im new into machine learning?
Yeah, it's the DJI Pocket 3
No, I know why you want long-term memory-because your AI girlfriend doesn't remember your past conversations. She forgets you, that's why.
T.T