Orchestral replaces LangChain’s complexity with reproducible, provider-agnostic LLM orchestration

A new orchestration approach, called Orchestral, is betting that enterprises and researchers want a more integrated way to ...
NextBigFuture

New AI Algorithm Can Reduce LLM Energy Usage by 80-95%

New Linear-complexity Multiplication (L-Mul) algorithm claims it can reduce energy costs by 95% for element-wise tensor multiplications and 80% for dot products in large language models. It maintains ...
Forbes

From Adoption To Advantage: 10 Trends Shaping Enterprise LLMs In 2025

Enterprise adoption of generative AI, particularly Large Language Models, has transitioned from cautious curiosity to strategic necessity in just a few short years. Kong Research’s 2025 Enterprise LLM ...
Diginomica

Want better LLM results? Then it's time for AI evaluation tools - learning from Galileo's RAG and agent metrics

A consistent media flood of sensational hallucinations from the big AI chatbots. Widespread fear of job loss, especially due to lack of proper communication from leadership - and relentless overhyping ...
InfoQ

instructlab.ai Uses Synthetic Data to Reduce Complexity of Fine-Tuning LLMs

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Dify Makes Self-Hosted LLM Development Simple : Swap Models, Add RAG & Launch Faster

Self-host Dify in Docker with at least 2 vCPUs and 4GB RAM, cut setup friction, and keep workflows controllable without deep ...
EurekAlert!

Development of the large language model "LLM-jp-13B" with 13 billion parameters

The Research Organization of Information and Systems, National Institute of Informatics (NII, Director-General: Sadao Kurohashi, located in Chiyoda-ku, Tokyo) has been hosting the LLM Study Group (LLM ...