Key Points
References
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Key Concepts
Python tools
Scikit
Pytorch
Spring Ai
https://spring.io/projects/spring-ai
https://docs.spring.io/spring-ai/reference/
Spring AI is a project within the Spring Framework that helps Java developers incorporate artificial intelligence (AI) into their applications. It's an application framework that aims to use Spring's design principles, like modularity and portability, in the AI domain. Spring AI provides a Spring-friendly API and abstractions for developing AI applications, and it supports many AI models, including:
OpenAI, Azure OpenAI, Amazon Bedrock, Hugging Face, Google VertexAI, Mistral AI, Stability AI, Ollama, PostgresML, and Transformers (ONNX).
Spring AI simplifies the integration of AI functionality into Spring applications by streamlining interactions with AI models.It uses familiar Spring concepts and patterns, which can help with learning and adoption.For example, prompt templates can be used to populate placeholders within a model object, and the resulting string becomes the prompt for the AI model.
Potential Value Opportunities
Potential Challenges
Candidate Solutions
Step-by-step guide for Example
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