DeepSeek’s Engram Conditional Memory Shows How to Reduce AI Compute Waste

DeepSeek's new Engram AI model separates recall from reasoning with hash-based memory in RAM, easing GPU pressure so teams ...

MemRL outperforms RAG on complex agent benchmarks without fine-tuning

MemRL separates stable reasoning from dynamic memory, giving AI agents continual learning abilities without model fine-tuning ...
SDxCentral

DeepSeek looks to offload simple LLM tasks to save billions of parameters

Detailed in a recently published technical paper, the Chinese startup’s Engram concept offloads static knowledge (simple ...
MobiHealthNews

Study: Google reveals LLM that helps accurately diagnosis complex cases

A study done by Google Research in collaboration with Google DeepMind reveals the tech giant developed an LLM with conversational and collaborative capabilities that can provide an accurate ...
InfoQ

Meta Open-Sources Byte Latent Transformer LLM with Improved Scalability

Meta open-sourced Byte Latent Transformer (BLT), an LLM architecture that uses a learned dynamic scheme for processing patches of bytes instead of a tokenizer. This allows BLT models to match the ...
CEOWORLD magazine

Engineering Excellence: Satish Kumar’s Journey in Cloud-Native Architecture and AI Innovation

The convergence of artificial intelligence, cloud-native architecture, and data engineering has redefined how enterprises approach digital transformation. Organizations across banking, finance, and ...
Geeky Gadgets

AnyGPT any-to-any open source multimodal large language model (LLM)

AnyGPT is an innovative multimodal large language model (LLM) is capable of understanding and generating content across various data types, including speech, text, images, and music. This model is ...