Tag
The author built LYKN.io, a personal intelligence system that creates a constant memory layer for AI to retain context across chats and tools, making AI more personalized and accurate.
MemTrain proposes a self-supervised training framework that uses masked reconstruction and intermediate memory recall proxy tasks on Wikipedia corpora to enhance LLM agents' context memory, achieving up to 17.67 point gains on downstream memory-intensive QA benchmarks.
Key takeaways from the LangChain conference, including insights on AI engineering as data science, the priority of data strategy before agents, coding agents as the new substrate, and context plus memory as the new moat.