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Blog

This is the blog. It has two categories: News and Releases.

Posts are listed in reverse chronological order.

Releases

1.1 – Third Release

Release notes for DfocusGPT 1.1.

DfocusGPT 1.1 provides the following features.

Feature updates

  1. Support assigning and filtering types for each FAQ Q&A.
  2. Multilingual: set the display language and the answer language. Display supports English and Korean; answer language is unrestricted.
  3. Archive option: users can bookmark answers and revisit them later.
  4. Per-category customization for chatbot size and button icons.
  5. Semantic search option using vector similarity in knowledge management.
  6. Added a recommended Q&A page to help generate FAQs.

2. Multilingual - set the display language and the answer language. Display supports English and Korean; answer language is unrestricted. alt text

3. Archive option — When satisfied with an answer, press the bookmark (#1) icon to save it. Saved answers are available anytime from the Archive (#2) icon, which opens the saved conversations list (#3). Archive

4. Size customization - Per-category customization for chatbot size and button icons. alt text

5. Semantic Search - Semantic search option using vector similarity in knowledge management. alt text

1.0 – Second Release

Release notes for DfocusGPT 1.0.

DfocusGPT 1.0 provides the following improvements.

Feature updates

  1. HTTP/2 support for better performance.
  2. Markdown-to-HTML renders answers with embedded images more cleanly.
  3. Added direct link to this manual site from the chatbot.
  4. Started Kakao Business Channel support for DfocusGPT.

#2 shows better readability in chatbot responses, while #3 supports direct access to the manual website alt text

0.9 – First Release

Release notes for DfocusGPT 0.9.

DfocusGPT 0.9 provides the following features.

Feature updates

  1. Chatbot
  2. Knowledge management
  3. Agent handoff
  4. Reports

Chatbot

alt text

Knowledge management

alt text

Agent handoff

Reports

Chat statistics and dashboard image.

  1. 500 responses per a day for a small ERP solution. And AI assistant won’t be tired. Never! alt text
  2. 9 to 6 and plus alpha. alt text

News

DfocusGPT Copyright

DfocusGPT leverages LLMs for everyday enterprise workflows.
By Jungho Lee (@DfocusSns) |

Copyright information for DfocusGPT - Korea Copyright Commission

Copyright

LLM History and People

A brief look at the history of LLMs.

In October last year, key figures in AI gathered at MIT. See the discussion: Research on Intelligence in the Age of AI.

Deep Learning History

Video overview (Korean)

DfocusGPT Data Flow

Basic question-answer flow in DfocusGPT.

Below is a basic sequence for answering user questions with company knowledge and LLM.

sequenceDiagram
    autonumber
    loop History

    User->>Chatbot: Question

    alt History exists
        Chatbot->>Chatbot: Generate Reinforced Query (Q + History)
    end

    Chatbot->>Company KB: Search (Reinforced Q)
    Company KB->>Chatbot: Results
    
    Chatbot->>LLM: Prompt (Q + KB + History)
    LLM->>Chatbot: Answer

    Chatbot->>User: LLM answer + KB
    Note right of Chatbot: Store Q&A

    end

Details may vary by options.