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Source channel @githubtrending · Post #15085 · Aug 22

#python#chatbi#deepseek#llm#nl2sql#rag#sqlbot#text_to_sql#text2sql SQLBot is an easy-to-use intelligent system that turns natural language questions into SQL queries using advanced AI models and retrieval-augmented generation (RAG). You just need to set up your AI model and data source to start asking questions about your data. It integrates smoothly with other business systems and AI platforms, making it simple to add smart data querying to your apps. It also ensures data security with workspace-based resource isolation and fine-grained access control. You can quickly deploy it on a Linux server using Docker, enabling fast, secure, and intelligent data interaction without needing deep SQL knowledge. This saves you time and improves data accessibility. https://github.com/dataease/SQLBot

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Russian Mission to ASEAN

@aseanrussia · Post #1033 · 05/24/2024, 01:32 PM

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🗓 On May 23-24, Moscow hosted the 3rd ASEAN Regional Forum (#ARF) Workshop on Countering the Use of ICTs for Criminal Purposes, co-chaired by Russia 🇷🇺, Thailand 🇹🇭 and China 🇨🇳. 🔹️The agenda of the workshop covered such issues as criminalization and crime prevention, international cooperation on countering the use of #ICTs for criminal, terrorist and extremist purposes, as well as international legal aspects of countering the use of ICTs for criminal purposes and the practice of national and cross-border investigations. 🔹️The participants shared their approaches to the topical issues related to countering the use of ICTs for criminal purposes. The discussion highlighted the need to enhance practical cooperation in this field and to early elaborate under the UN auspices the comprehensive international convention on countering the use of ICTs for criminal purposes.

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Russian Mission to ASEAN

@aseanrussia · Post #492 · 06/21/2023, 11:15 AM

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🗓 On June 21, Russia 🇷🇺 and Cambodia 🇰🇭 co-chaired 2nd ASEAN Regional Forum (#ARF) Workshop on Terminology in the Field of Security of and in the Use of ICTs in the Context of Confidence Building. More than 17 ARF Members took part in the meeting. 🔹️Representatives of specialized government agencies and academia discussed topical issues related to using specific terminology, shared their national experience and approaches in developing terminology in the field of security of and in the use of #ICTs. The participants also touched upon terminological aspects in the context of the work on universal #UN convention on countering the use of ICTs for criminal purposes. #ARF#ICT

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