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 ...
Morning Overview on MSN

LLMs have tons of parameters, but what is a parameter?

Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...
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 ...
Yahoo Finance

RWS's TrainAI LLM Benchmarking Study Ranks Claude Sonnet, GPT and Gemini Pro as Leaders in Synthetic Data Generation

TrainAI’s LLM synthetic data generation study benchmarks nine popular large language models on six data generation tasks across eight languages using human expert evaluators MAIDENHEAD, England, April ...

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 ...
Forbes India

Businesses need future-ready LLM supply chains

As IT-driven businesses increasingly use AI LLMs, the need for secure LLM supply chain increases across development, ...
Security Boulevard

AI SOC Anxiety: Does More Control Equal More Complexity?

SOC teams want AI they can control without recreating SOAR sprawl. This post explores why control and complexity feel linked, ...