.@Nils_Reimers, Director of Machine Learning at Cohere, shares his vision for the future of semantic search in the enterprise 🧵
txt.cohere.ai
txt.cohere.ai
@Nils_Reimers (2/6) Many companies struggle to access valuable sources of internal knowledge due to unstructured data in emails, documents, and internal systems. 📃
@Nils_Reimers (3/6) Semantic search can increase accessibility and productivity by understanding the intent of a user's query and finding the most relevant documents. 🔍
@Nils_Reimers (4/6) Cohere's goal is to make this technology as accessible as possible for developers, addressing key challenges in deploying semantic search solutions. 👩💻
@Nils_Reimers (5/6) The use of vector spaces in semantic search allows for better results and faster information retrieval, even in complex data sets. 📈
@Nils_Reimers (6/6) Don't miss the opportunity to revolutionize search in your enterprise! Join Cohere in improving accessibility and productivity with semantic search. Get started building: os.cohere.ai 🔎
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