5 tiers of long-term memory and personalization for LLM applications (in-person workshop) 

I think there should be a microphone in the middle of the audience. You had an insightful discussion with them, amazing audience!

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!

‌‌Wonderful narration

Maybe S tier would be using Reranking (Jina) to also select memories based off the users intent.

Thanks for sharing these meetings!

Adorei as aulas, foi muito claro e direto ao ponto, Obrigado

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!

The camera swivel is an L when you get excited / nervous

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

Is the camera automatic tracking to ur face? Im new into machine learning?

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.