Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

A new technical paper titled “MLP-Offload: Multi-Level, Multi-Path Offloading for LLM Pre-training to Break the GPU Memory Wall” was published by researchers at Argonne National Laboratory and ...

Researchers at Mem0 have introduced two new memory architectures designed to enable Large Language Models (LLMs) to maintain coherent and consistent conversations over extended periods. Their ...

Think of continuous batching as the LLM world’s turbocharger — keeping GPUs busy nonstop and cranking out results up to 20x faster. I discussed how PagedAttention cracked the code on LLM memory chaos ...

Paired with Whisper for quick voice to text transcription, we can transcribe text, ship the transcription to our local LLM, and then get a response back. With gpt-oss-120b, I manage to get about 20 ...

Samsung Electronics has recently released its new-generation memory solutions aimed at the generative AI and large language model (LLM) markets, including the fifth-generation high-band width memory ...

Large language models (LLMs) like GPT and PaLM are transforming how we work and interact, powering everything from programming assistants to universal chatbots. But here’s the catch: running these ...

In long conversations, chatbots generate large “conversation memories” (KV). KVzip selectively retains only the information useful for any future question, autonomously verifying and compressing its ...

As a millennial, I was fortunate to experience a childhood that was not wholly integrated with technology and social media. I remember that before owning a mobile phone, I was able to recall around a ...