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AI startup Probably completes $9 million seed round funding, led by a16z
BlockBeats News, June 16 — AI startup Probably has completed a $9 million seed round of funding, led by a16z. The company is attempting to develop a more rigorous approach to reduce "hallucinations" and factual errors in large language models (LLMs).
The company's first product is a data science tool that can quickly generate analytical results from complex datasets, with each output accompanied by citation sources and a complete audit trail to enhance transparency and verifiability. This design is becoming the standard direction for more and more AI products.
To prevent errors from infiltrating the results, Probably has built a complex "guardrail system," which founder Peter Elias describes as a "data science mech suit." This system uses deterministic validators to verify the initial outputs of large models; if the results are inconsistent with the data, they are directly rejected and regenerated. At the same time, this validation mechanism also performs reverse training on the model to reduce the occurrence of subsequent errors.
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