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1、Unlocking Insights:Exploring Similarity Search with Python and Oracle Database 23aiVeronica DumitriuAnthony Tuininga September,2024Oracle CloudWorld Copyright 2024,Oracle and/or its affiliates1Anthony TuiningaTechnical AdvisorVeronica DumitriuPrincipal Product ManagerOracle CloudWorld Copyright 2024
2、,Oracle and/or its affiliates2SpeakersTodays AgendaIntroduction to AIVector EmbeddingsVector DatabasesSimilarity Search TechniquesReal-world ApplicationsDemoOracle CloudWorld Copyright 2024,Oracle and/or its affiliates3IntroductionAI conceptsOracle CloudWorld Copyright 2024,Oracle and/or its affilia
3、tes4Nov22:chatGPTApr23:BedrockDec23:PaLM&Gemini2024:Diffusion 3,Vlogger,Claude 3,Devin AI2018:GPT-1 Jan-Mar23:Llama,ChatGPT-4,BardJun23:Cohere2024:Oracle 23ai and GenDev5Oracle CloudWorld Copyright 2024,Oracle and/or its affiliatesLLM&GenAI TimelineGenAI=AI systems capable of creating content,includ
4、ing text,images,and video,by learning from existing dataUsers input prompts to guide the AI in tailoring the output AI tools can integrate with existing presentation or document softwareLLM(Large Languages Models)Conversational AI,data-driven responses,billions of parameters for engaging content tra
5、ined with extensive public vocabularies Specialized Use Cases:not exact if the context of specialized use cases Build domain-specific models and data or fine-tune models and train them on business-specific dataImport LLMs to enrich users data promptsVectors=numerical representations of unstructured
6、dataVector Embeddings=models that transform data into mathematical equationsVector Database =stores vectors and feeds vector data to language models Vector Search=enables large-scale similarity searches rather than only searches for exact matchesbased on semantics,not on precise match/keywordsa fast