Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds enterprise system prompt instructions into model weights, reducing inference ...
Scalable Chiplet System for LLM Training, Finetuning and Reduced DRAM Accesses (Tsinghua University)
A new technical paper titled “Hecaton: Training and Finetuning Large Language Models with Scalable Chiplet Systems” was published by researchers at Tsinghua University. “Large Language Models (LLMs) ...
Have you ever found yourself wrestling with a dense PDF or a handwritten note, wishing there was an easier way to extract the information you need? Whether you’re a researcher trying to digitize ...
A new technical paper titled “System-performance and cost modeling of Large Language Model training and inference” was published by researchers at imec. “Large language models (LLMs), based on ...
Running large language models at the enterprise level often means sending prompts and data to a managed service in the cloud, much like with consumer use cases. This has worked in the past because ...
The agentic operating system for life sciences R&D PRESS RELEASE Sigmatic Sciences, a Sapio Sciences company, enables scientists to move fromcopilot to autopilot with true lab-in-the-loop automation ...
Japanese AI lab Sakana AI has introduced a new technique that allows multiple large language models (LLMs) to cooperate on a single task, effectively creating a "dream team" of AI agents. The method, ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Ludi Akue discusses how the tech sector’s ...
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