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Challenges and Deployment of Language Models in Enterprises
The chapter explores the hurdles faced by companies in implementing big data projects, leading to reliance on external data experts, and discusses the importance of maintaining data integrity using vector databases in language model deployment. It delves into the necessity of compliance standards like NIST and OWASP Top 10 for secure data access, while also addressing the challenges of auditing data in cloud environments. The conversation transitions to the potential applications of language models in real-time scenarios such as language translation during conversations and the need for LM firewalls to combat security threats.