LLMs for Enterprise: Technical Protocols, Considerations, and Data Privacy
15mIntermediate2024-08-15
Authors
Denys Linkov
Course details
As Gen AI becomes more ubiquitous, understanding how to securely use it in an enterprise is critical for responsible adoption. Adoption for Gen AI continues to increase, and companies need to be vigilant about the risks to their intellectual property. In this course, Denys Linkov introduces important concepts on how to use large language models in an enterprise context. Learn key questions to ask about Gen AI, how to access enterprise versions, how to sanitize data, and more.
Learning objectives
Gain familiarity with Gen AI concepts and use cases of LLMs within an enterprise environment, providing an introductory understanding of their applications and potential benefits.
Learn the procedures and protocols for requesting access to LLMs within an enterprise environment.
Understand the concerns and considerations enterprises have regarding LLM usage.
Recognize the importance of preserving intellectual property (IP) when using LLMs and the associated risks of sharing sensitive information.
Understand the significance of maintaining confidentiality when using LLMs and the risks associated with sharing sensitive data.
Learn how to disable data tracking and usage in different LLM providers.
Learning objectives
Gain familiarity with Gen AI concepts and use cases of LLMs within an enterprise environment, providing an introductory understanding of their applications and potential benefits.
Learn the procedures and protocols for requesting access to LLMs within an enterprise environment.
Understand the concerns and considerations enterprises have regarding LLM usage.
Recognize the importance of preserving intellectual property (IP) when using LLMs and the associated risks of sharing sensitive information.
Understand the significance of maintaining confidentiality when using LLMs and the risks associated with sharing sensitive data.
Learn how to disable data tracking and usage in different LLM providers.
Skills covered
GeminiIT Service ManagementChatGPTNatural Language Processing (NLP)OpenAIDevOpsGoogleArtificial Intelligence (AI)Network and System AdministrationOne-Off
Concepts
0. Introduction
- 01 - LLM Adoption for Enterprise
1. Introduction to LLMs in an Enterprise
- 02 - Introduction to large language models (LLMs)
- 03 - Requesting access to a LLM
- 04 - Understanding LLM concerns in enterprise
2. Using LLMs in an Enterprise
- 05 - Intellectual property and LLMs
- 06 - Disabling data usage in LLMs
- 07 - Redacting sensitive data
- 08 - Challenge - Rewriting your prompts for email editing
- 09 - Solution - Rewriting your prompts for email editing
- 10 - Challenge - Rewriting your prompts for data analysis
- 11 - Solution - Rewriting your prompts for data analysis
Conclusion
- 12 - LLM adoption - Next steps
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