VentureBeat

Fine-tuning vs. in-context learning: New research guides better LLM customization for real-world tasks

Two popular approaches for customizing large language models (LLMs) for downstream tasks are fine-tuning and in-context learning (ICL). In a recent study, researchers at Google DeepMind and Stanford ...
InfoWorld

33 LLM metrics to watch closely

Look to these key metrics and benchmarks to evaluate the performance, capability, reliability, and safety of your AI models ...
Nature

Large language models could change the future of behavioral healthcare: a proposal for responsible development and evaluation

Large language models (LLMs), built on artificial intelligence (AI) – such as Open AI’s GPT-4 (which power ChatGPT) and Google’s Gemini – are breakthrough technologies that can read, summarize, and ...
Nature

The TRIPOD-LLM reporting guideline for studies using large language models

Large language models (LLMs) are rapidly being adopted in healthcare, necessitating standardized reporting guidelines. We present transparent reporting of a multivariable model for individual ...
Hosted on MSN

Context7 is the most underrated MCP server you're not using for your local LLM

Model Context Protocol enables a Large Language Model (LLM) to do a lot more than just answer questions. Acting as a translator between the model and the digital world, it can abstract data from a ...