We just released an oss version of PorTAL, including training scripts and links to the paper’s models on Hugging Face: https://t.co/kNihflRU8t Looking for alpha testers and feedback, give it a spin and let us know what you think!
Humans form short-term memories throughout the day and consolidate them into long-term memory while we sleep. Dreaming plays a huge role in this process, replaying details from the day in different contexts and scenarios.
I think LLMs should have a similar process for long-term memory consolidation. In this setting, dreaming is self-study. We create a self play game that identifies gaps in existing knowledge and can generate targeted experiences that strengthen memory in those areas. Please read more about our work on this below
Memory is what allows Claude to learn from experience. In a new Engineering Blog post, we share how “dreaming” helps Claude organize what it’s learned, correct its mistakes, and find what it needs more easily the next time. https://t.co/uUEN4bNkr9
🦍 Introducing Memorilla: memory as a modality for LLMs
Memorilla turns everything a frozen LLM needs to remember into just 16 memory embeddings
⚡ It uses up to 4,212× fewer tokens and is 27× faster than full context inference while more accurate
🎯 Pushes the Pareto frontier over RAG and agentic memory in personalization, long-document and knowledge QA
A thread 🧵: