Solving hallucination problems of LLMs

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Hallucinations are when an AI model confidently provides a nonsensical response to a valid prompt.

Regulated fields suffer great damage when models hallucinate.This can cause significant liability in terms of money, but also in terms of life. AI practitioners in regulated fields like Finance and Legal are looking to find solutions for AI hallucinations

Hallucinations can be caused by a variety of reasons but are most often caused due to lack of proper training data related to the prompt or lack of enough context for a prompt. 

InferBoost is targeting model hallucinations in a unique new manner at inference time. Other approaches such as RAGs require additional training effort however InferBoost microservice is designed to run at inference ( runtime ) time

InferBoost has been divided into phases. 

Phase 1 AKA MVP  is completed and has been a demonstrated success. 

Phase 2 is focused on enabling potential InferBoost clients onboard easily. 

Phase 3 will be focused on operationalizing processes and scaling to customer demand. 

Send an email through the contact form and provide basic information such as professional/org email address, name and interest.