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Product updates, research, customer stories, and perspectives from the team building AI at S&P Global.
NewsArchive
Enhanced document extraction for generative AI use cases
Introducing Kenverters, a set of open source Python developer tools for fast and easy use of Kensho Extract in pipelines for Retrieval Augmented Generation (RAG), Large Language Models (LLMs), table extraction, and more!
Postgres and OpenSearch: Mature data storage technologies and high-performance vector search engines
Postgres and OpenSearch: Mature Data Storage Technologies and High-Performance Vector Search Engines
Distributed training with Kubernetes
Neural networks are more relevant than ever with the rise of GenAI, in particular large language models, and at Kensho we’ve been employing them in a wide range of applications. However, training these complex models can be computationally intensive and expensive. In collaboration with our ML Research team, Kensho’s infrastructure team tackled this challenge using a multi-node approach that could be easily integrated into our existing infrastructure.
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At Kensho, you’ll work at the intersection of trusted data, advanced AI, and real-world decision-making. We hire talented people and give them autonomy and support to develop cutting-edge solutions that solve complex business problems.