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Fine-tune your Amazon Titan Image Generator G1 model using Amazon Bedrock model customization

AWS Machine Learning

Text-to-image models also enhance your customer experience by allowing for personalized advertising as well as interactive and immersive visual chatbots in media and entertainment use cases. The data remains in the same Region where the API call is processed. This process can be done both via the Amazon Bedrock console or APIs.

APIs 85
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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

Consider inserting AWS Web Application Firewall (AWS WAF) in front to protect web applications and APIs from malicious bots , SQL injection attacks, cross-site scripting (XSS), and account takeovers with Fraud Control. Your LLM application may have more or fewer definable trust boundaries.

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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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47 Best Shopify Apps for 2021 (By Use Case)

JivoChat

Rules-based or AI chatbots can assist customers in a real-time chat as they search for products, suggest complementary products, and answer common questions. When live agents are available, the JivoChat chatbot can transfer a chat to an agent, should a customer need a greater degree of assistance. Gameball: Loyalty & Rewards.

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Dialogue-guided visual language processing with Amazon SageMaker JumpStart

AWS Machine Learning

Their use cases span various domains, from media entertainment to medical diagnostics and quality assurance in manufacturing. However, like other nascent technologies, obstacles remain in managing model intricacy, harmonizing diverse modalities, and formulating uniform evaluation metrics.

APIs 92