Big reveal alert! This Tuesday, DeepSeek—the crew behind open-weight AI legends— dropped a game-changing paper on a new AI architecture called Engram. 🚀
At the heart of Engram is "conditional memory," a clever twist on their Mixture-of-Experts approach. Instead of cramming all the AI's brainpower into pricey video memory, Engram splits "logic" and "knowledge." The heavy knowledge bits live on cheaper hardware, making models way more memory-efficient.
But wait, there's more! Remember how retrieval-augmented generation (RAG) feels like wading through a slow library catalog? Engram zips through its knowledge base in a flash—like a teleporting book that opens the exact page you need the instant you think of a question.
DeepSeek also released the full Engram code, so devs can start slashing memory needs today. Founder Liang Wenfeng says Engram "lets models scale their knowledge capacity while keeping training and inference super efficient."
For you, this could mean: future AI that's cheaper to run, faster to respond, and even better at remembering that joke you told 50 prompts ago. Stay tuned—memory shortages might just become a thing of the past! 🎉
Reference(s):
DeepSeek unveils new AI architecture to slash memory requirements
cgtn.com
