Monitoring LLM behavior: Drift, retries, and refusal patterns

The offline pipeline's primary objective is regression testing — identifying failures, drift, and latency before production.
VentureBeat

How enterprises are using open source LLMs: 16 examples

VentureBeat and other experts have argued that open-source large language models (LLMs) may have a more powerful impact on generative AI in the enterprise. More powerful, that is, than closed models, ...

Inside LLM SEO: How to optimize and measure your brand’s visibility

WebFX reports that LLM SEO optimizes brand visibility in AI responses, vital as AI search growth shifts user behavior.
TechNewsWorld

The Safety Feature That Taught an LLM to Lie

AI safeguards can backfire when models learn to mimic the signals meant to verify truth. In one system, memory design and ...
InfoWorld

How to choose the best LLM using R and vitals

Is your generative AI application giving the responses you expect? Are there less expensive large language models—or even free ones you can run locally—that might work well enough for some of your ...
InfoQ

LangChain - Working with Large Language Models, Made Easy

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...
Forbes

Three Challenges With Adopting Domain-Specific LLMs

Global Senior VP, Head of Digital Transformation, at CriticalRiver. Top 100 Diverse Leaders. Business efficiency with cloud, AI and ML SaaS. According to McKinsey, generative AI could deliver between ...
TechCrunch

Nvidia launches new services for training large language models

As interest around large AI models — particularly large language models (LLMs) like OpenAI’s GPT-3 — grows, Nvidia is looking to cash in with new fully managed, cloud-powered services geared toward ...
JD Supra

The Role of Large Language Models in Driving Legal Innovation

Innovation in the legal industry is particularly challenging because the expectation of accuracy is simply higher than in most sectors. “Move fast and break things” is not an option. Even so, in a ...