Cooked in a math lab, here's an open source LLM that knows the law
"LLMs and more broadly AI systems will have a transformative impact on the practice of law that includes but goes beyond marginal productivity," a spokesperson for Equall.ai said in an email to."Our focus is on creating end-to-end legal AI systems guided and controlled by lawyers."Our belief — based on data and experience — is that systems specialized for the legal domain will perform better than generalist ones.
"For example, throughout our evaluation of Saul with actual lawyers, we were able to confirm that it was less prone to hallucinating when discussing specific legal concepts. In short, we expect LLMs that are specifically trained on legal data to hallucinate much less on legal topics than their generalist counterparts."
As you'd expect from an LLM, SauLM-7B works by being asked questions or given prompts in natural language, and it attempts to answer or respond to them; in this case, it's focused on the law and legal issues.that the makers of SauLM-7B have taken a sensible approach to specializing general LLMs. Schwarz said the company was not yet ready to comment on the extent to which its offering will be open source or proprietary. But he claimed that while SaulLM-7B-Instruct – a version fine-tuned on general and legal instructions – managed to score an average of 0.61 on the LegalBench-Instruct benchmark,"we're getting close to 0.77." That accuracy percentage is similar to GPT-4, though we urge to you to take some salt with machine-learning benchmarks.
"Very, very roughly, the way that these techniques, or these methods are usually trained is that you have a huge data set that's been trained on the web and each direct training step you sample or you just pick a random subset of that," explained Schwarz."Then you just train on that subset and you do that trillions of times.
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