Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.
XDA Developers on MSN
I use my local LLMs with this self-hosted tool to manage documents in Paperless-ngx
It's a powerful companion utility for my Paperless-ngx container ...
Locally run large language models (LLMs) may be a feasible option for extracting data from text-based radiology reports while preserving patient privacy, according to a new study from the National ...
And you can do this without having to write computer code in a language like Python. Instead, you only need spreadsheet formulas as simple as: =claudeExtract("sentiment of positive, negative, or ...
Fundamental, which just closed a $225 million funding round, develops ‘large tabular models’ for structured data like tables and spreadsheets. Large-language models (LLMs) have taken the world by ...
What if you could transform vast amounts of unstructured text into a living, breathing map of knowledge—one that not only organizes information but reveals hidden connections you never knew existed?
Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks.
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