Unstructured, an AI-focused big data startup, has successfully raised $40 million in a B round of funding to enhance the accessibility of raw data for utilization in Large Language Models (LLMs). This investment, supported by Gemini, IBMVentures, and MenloVentures, aims to address the challenges associated with storing and processing unstructured data, making it ready for LLM training. The startup, which specializes in preparing 'sloppy' data for LLM training, has achieved a valuation of $230 million following this funding round. The effort to make raw data LLM-ready was highlighted by @Mike_Wheatley and further emphasized in a quote by @AndyThurai, showcasing the startup's innovative approach to data management for GenAI and its potential impact on the development of LLMs.
Wow. Unstructured, an upstart developing tech for ingesting and pre-processing unstructured data for use in developing large language models, or LLMs, for GenAI, Thursday said it has raised a B round of funding for $40 million. Details @CRN https://t.co/clPj3Ax7B9
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Unstructured, which preps sloppy data for LLM training, has raised $40 million at a $230 million valuation. https://t.co/CMeTp1YyLn
AI-focused big data startup Unstructured raises $40M to make raw data LLM-ready https://t.co/0plTcTu6In @SiliconANGLE @Mike_Wheatley “While vector databases help with storing unstructured data, getting the data ready to be put into a vector database or...” - @AndyThurai
AI-Centric Big Data Startup Unstructured Secures $40M for Enhancing Raw Data Accessibility for LLM Utilization #AI #artificialintelligence #ChatGPT #Funding #Gemini #IBMVentures #Investment #Largelanguagemodels #llm #machinelearning #MenloVentures https://t.co/onTlUsf7Kw https://t.co/k48v3xTQxu