Many organizations are building generative AI applications driven by large language models (LLMs), but few are transitioning successfully from prototypes to production. According to an October 2023 ...

Local LLMs degrade fast when context fills up. An embedding model and RAG pipeline fixes that — and runs entirely on your ...

Be your own AI content generator! Here's how to get started running free LLM alternatives using the CPU and GPU of your own PC. From the laptops on your desk to satellites in space and AI that seems ...

Some models are available to users without Chinese phone numbers, while open-source platforms provide other workarounds. MIT Technology Review's How To series helps you get things done. Hundreds of ...

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 ...

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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 ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

This is today's edition of The Download, our weekday newsletter that provides a daily dose of what's going on in the world of technology. How churches use data and AI as engines of surveillance On a ...

One of the most energetic conversations around AI has been what I’ll call “AI hype meets AI reality.” Tools such as Semush One and its Enterprise AIO tool came onto the market and offered something we ...