Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.
Abstract: Large Language Models (LLMs) are widely adopted for automated code generation with promising results. Although prior research has assessed LLM-generated code and identified various quality ...
Microsoft has warned that information-stealing attacks are "rapidly expanding" beyond Windows to target Apple macOS environments by leveraging cross-platform languages like Python and abusing trusted ...
The debate around llms.txt has become one of the most polarized topics in web optimization. Some treat llms.txt as foundational infrastructure, while many SEO veterans dismiss it as speculative ...
Running large language models (LLMs) locally has gone from “fun weekend experiment” to a genuinely practical setup for developers, makers, and teams who want more privacy, lower marginal costs, and ...
They’re the mysterious numbers that make your favorite AI models tick. What are they and what do they do? MIT Technology Review Explains: Let our writers untangle the complex, messy world of ...
What if the AI systems we rely on today, those massive, resource-hungry large language models (LLMs)—were on the brink of being completely outclassed? Better Stack walks through how Meta’s VL-JEPA, a ...
Right on the heels of announcing Nova Forge, a service to train custom Nova AI models, Amazon Web Services (AWS) announced more tools for enterprise customers to create their own frontier models. AWS ...
Large language models often lie and cheat. We can’t stop that—but we can make them own up. OpenAI is testing another new way to expose the complicated processes at work inside large language models.
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