GPT-3, Stable Diffusion, DALL-E, and most recently, Chat-GPT have thrust AI’s ability to create into the mainstream.
But creations alone are often a long way from being helpful –Chat-GPT’s incorrect answers, and the immediate takedown of Meta’s Galactica share a glaring flaw:
Generative models can write responses, but they’re never reading sources or “citing” their work.
At Hebbia, we’re building semantic search “readers” that feed generative “writers” to address these shortcomings of generative models alone:
More accurate: Priming models with relevant primary sources
More trustworthy: Cite sources behind every generation
More easily updated: Updating an index can happen almost instantaneously with no need to retrain a billion (or two trillion!) parameter model ad hoc.
Read more: https://medium.com/@gsiv/semantic-search-chatgpt-729d71263851
Build the future of knowledge engines with us: http://careers.hebbia.ai/
