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The ChatGPT Revolution

The Northridge Group

The most recent version of ChatGPT, which is based on GPT-4 and was released in March 2023, is OpenAI’s latest and most advanced chatbot. It can also be easily integrated via APIs with popular apps such as Slack, Instacart, Snapchat, or Facebook Messenger for easy access across multiple platforms.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

Some risks may be acceptable to your business, and a threat modeling exercise can help your company identify what your acceptable risk appetite is. In this sample architecture of a chatbot application, there are five trust boundaries where controls are demonstrated, based on how AWS customers commonly build their LLM applications.

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FMOps/LLMOps: Operationalize generative AI and differences with MLOps

AWS Machine Learning

Main use cases are around human-like chatbots, summarization, or other content creation such as programming code. In this scenario, the generative AI application, designed by the consumer, must interact with the fine-tuner backend via APIs to deliver this functionality to the end-users. 15K available FM reference Step 1.

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Financial text generation using a domain-adapted fine-tuned large language model in Amazon SageMaker JumpStart

AWS Machine Learning

Although these SEC filings are publicly available to anyone, downloading parsed filings and constructing a clean dataset with added features is a time-consuming exercise. We make this possible in a few API calls in the JumpStart Industry SDK. 0-9]+)"}, {'Name': 'eval:loss', 'Regex': "'eval_loss': ([0-9]+.[0-9]+)"},

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Domain-adaptation Fine-tuning of Foundation Models in Amazon SageMaker JumpStart on Financial data

AWS Machine Learning

Although these SEC filings are publicly available to anyone, downloading parsed filings and constructing a clean dataset with added features is a time-consuming exercise. We make this possible in a few API calls in the JumpStart Industry SDK. 0-9]+)"}, {'Name': 'eval:loss', 'Regex': "'eval_loss': ([0-9]+.[0-9]+)"},

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