InfoWorld

Surveying the LLM application framework landscape

Large language models by themselves are less than meets the eye; the moniker “stochastic parrots” isn’t wrong. Connect LLMs to specific data for retrieval-augmented generation (RAG) and you get a more ...
Geeky Gadgets

LLMWare unified framework for developing LLM apps with RAG

– High-performance document parsers to rapidly ingest, text chunk and ingest common document types. – Comprehensive intuitive querying methods: semantic, text, and hybrid retrieval with integrated ...

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 ...
JD Supra

Using a Multi-LLM Platform for Investigations and Ediscovery: Smarter and Way More Cost-Effective

[EDRM Editor’s Note: The opinions and positions are those of John Tredennick, Dr. William Webber and Lydia Zhigmitova.] The legal industry is witnessing a revolution with the adoption of AI for its ...
VentureBeat

ServiceNow open sources Fast-LLM in a bid to help enterprises train AI models 20% quicker

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Training a large language model (LLM) is ...
InfoQ

A Framework for Building Micro Metrics for LLM System Evaluation

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 ...
Semiconductor Engineering

LLM-based Agentic Framework Automating HW Security Threat Modeling And Test Plan Generation (U. of Florida)

A new technical paper titled “ThreatLens: LLM-guided Threat Modeling and Test Plan Generation for Hardware Security Verification” was published by researchers at University of Florida. “Current ...