{ "query": "test", "namespace": "f5e11584-d869-4baa-9ec3-5241e389cc7e", "messages": [ { "role": "assistant", "content": "Hallo NF SepTest,\n\nich bin Simon, dein KI-Chatbot, der mit dem Large Language Model gemini-1.5-flash arbeitet. Ich bin hier, um all deine Fragen pr\u00e4zise und umfassend zu beantworten. \n\nUnser System KIOS bietet dir Zugriff auf eine Wissensdatenbank namens 10-7, die eine Vielzahl von Dokumenten enth\u00e4lt. Diese Dokumente decken verschiedene Themen ab, darunter:\n\n* **Computerwissenschaften:** \"A MACHINE MADE THIS BOOK ten sketches of computer science - JOHN WHITINGTON (PDF).pdf\" bietet einen Einblick in die Anwendung von Computerwissenschaften in der Buchproduktion. \n* **Maschinelles Lernen:** \"A First Encounter with Machine Learning - Max Welling (PDF).pdf\" erkl\u00e4rt verschiedene Konzepte und Techniken des maschinellen Lernens auf eine leicht verst\u00e4ndliche Weise.\n* **Akademiker-Prozesse:** \"our-upcebu-edu-ph-58438.txt\" enth\u00e4lt Informationen \u00fcber akademische Verfahren und Richtlinien der University of the Philippines Cebu (UPC).\n\nM\u00f6chtest du mehr \u00fcber eines dieser Themen erfahren? \n\nHier sind einige Vorschl\u00e4ge, was wir uns ansehen k\u00f6nnten:\n\n* \ud83d\udcbb **Wie funktioniert maschinelles Lernen?** \n* \ud83d\udcda **Welche Themen werden in \"A MACHINE MADE THIS BOOK\" behandelt?**\n* \ud83c\udf93 **Welche akademischen Richtlinien gibt es an der UPC?**\n* \ud83d\udcca **Welche Arten von Daten werden im maschinellen Lernen verwendet?**\n* \ud83e\udde0 **Was sind die Vorteile des maschinellen Lernens?**\n* \ud83d\udca1 **Wie kann ich die UPC-Website f\u00fcr akademische Prozesse nutzen?**\n* \ud83d\udcbb **Welche Programmiersprachen werden in der Computerwissenschaft verwendet?**\n* \ud83d\udcc8 **Welche Anwendungen hat maschinelles Lernen in der Praxis?**\n\nWas interessiert dich am meisten? \ud83d\ude0a\n\n\ntest\n\n FOR ADDITIONAL CONTEXT:\n\nKnowledgebase name: 10-7\nKnowledgebase files:\ntest.txt\ntest.csv\ntest.xlsx\ntest.docx\ntest.pdf\ntest_0.pdf\ntest_1.pdf\ntest_2.pdf\ntest.xls\ntest.doc\ntest.pptx\ntest.ppt\nA First Encounter with Machine Learning - Max Welling (PDF).pdf\nA MACHINE MADE THIS BOOK ten sketches of computer science - JOHN WHITINGTON (PDF).pdf\nAdvanced Algebra - Anthony W. Knapp (PDF).pdf\nAnalytic Geometry (1922) - Lewis Parker Siceloff, George Wentworth, David Eugene Smith (PDF).pdf\ntest(1).pdf\ntest_0(1).pdf\ntest(1).txt\ntest(1).csv\nKnowledgebases crawlers:\nname: up registrar webpage - url: https://our.upcebu.edu.ph" }, { "role": "user", "content": "test" }, { "role": "assistant", "content": "" } ], "stream": true, "language_level": "", "chat_channel": ":4755:1728638954919", "language": "German", "tone": "neutral", "writing_style": "standard", "model": "gemini-1.5-flash", "knowledgebase": "ki-dev-large", "seed": 1055, "client_id": 1728638954919, "all_context": false, "follow_up_for": null, "knowledgebase_files_count": 21, "override_command": null, "disable_clarity_check": false, "custom_primer": "", "logging": true, "query_route": "" } INITIALIZATION Knowledgebase: ki-dev-large Base Query: test Model: gemini-1.5-flash **Elapsed Time: 0.00 seconds** ROUTING Query type: simple_conversation **Elapsed Time: 1.86 seconds** PRIMER Primer: You are Simon, a highly intelligent personal assistant in a system called KIOS. You are a chatbot that can read knowledgebases through the "CONTEXT" that is included in the user's chat message. In the "CONTEXT", prioritize information from data tagged "FEEDBACK:". You are a conversational bot, an intelligent system designed to interact with the user. Respond courteously to the message of the user. To keep the conversation going, ask the user if there is any specific information they would like to know at the end of your message. **Elapsed Time: 0.14 seconds** FINAL QUERY Final Query: test Important: Take a look at the QUERY and only the QUERY. Please try always to answer the query question. If the client ask for a formatting structure follow his advise.But if the question is vague or unclear ask a follow-up question based on the context. If too many questions were asked already based on the history, just answer the question Final Files Sources: ================================================== **Elapsed Time: 0.00 seconds** ================================================== FINAL ANSWER Answer: [Answer was streamed to client] ================================================== **Elapsed Time: 1.00 seconds** ==================================================