FFM Turnkey Solution
Meeting the needs of enterprises to quickly implement LLM applications
1
AI Assistant
Through the Chat Web interface and various task prompt templates Complete LLM tasks (summarizing, logical reasoning, intent analysis, structured data processing, etc.)
2
RAG Application
For RAG/KM enterprise needs Importing Turnkey solutions from Taizhiyun FFM partners and assisting with Proof of Concept (POC)
3
AFS Coder
Four major Coder services to accelerate code development needs.
ChatCoder, VSCoder, GitCoder, MyCoder
4
Insight & Predict
By fine-tuning corporate data
Establish large-scale language model applications for BI decision-making insight analysis and prediction.
4 Major FFM Turnkey Solutions
1
AI Assistant
Solving large-scale enterprise language modeling tasks through the Chat interface (prompt template)
Built-in FFM large language model, allowing direct interaction with AI Chat.
Features and benefits
✓ Provides various FFM task prompt templates: improves user satisfaction with model output and reduces self-exploration time.
✓ Provides suggested prompt engineering format: Enterprises can directly use FFM-Llama2 to quickly resolve enterprise problems.
✓ Provides a user-friendly AI Chat interface: general administrative staff can operate it without the need for engineers to use the language model (No code).
✓ Provides example sentence management function: facilitates the reuse and editing of prompt templates, and speeds up work efficiency.
Application Context
Base
- Community Editor
- writing a script
- Invitation/Email
- Marketing copywriting generation
- translate
- summary
Advanced
- Translation (no verbose)
- De-identification
- EDM Generation (AIDA)
- Generate code and organize data.
- Generate RPG game characters
- Function Call
Markdown understanding
- Intent analysis + JSON format output
- Understanding the Relationships Between Data Tables
- Data table text mixed with numerical understanding
JSON format output
- Intent Analysis
- Text comprehension and answering questions
- Text content parsing
2
RAG Application
A Ready-to-Go Application Solution for Large-Scale Language Models Based on FFM
Quickly implement LLM application systems using FFM partner RAG Application solution.
Taizhiyun sample codes: Web content analysis robot
By using Scrapy for web crawling, the collected information is converted into vectors using embeddings and stored in a database, serving as an index source for large language models and user interactions.
Features and benefits
✓ Quickly create index embeddings: Reduce data processing time
✓ Add new information to the database at any time: easily expand the knowledge base
Taizhi Cloud Partner Solution: KM (Knowledge Management) and Services
The Second Brain solution integrates cloud space and LLM large language model, and enhances the accuracy and flexibility of knowledge exploration through RAG retrieval and augmented generation applications. It enables enterprises to easily manage, extract, organize, find and translate relevant information, assist in tedious document tasks, accelerate workflows, and achieve efficient enterprise knowledge management and service applications, allowing users to focus on core business.
Features and benefits
✓ Eliminate AI knowledge illusion: A powerful RAG retrieval and generation architecture ensures the authenticity of knowledge sources.
✓ Give knowledge a fresh perspective: Understand users' natural language and refine responses from accumulated knowledge.
✓ Eliminate cross-language barriers: Ask questions about foreign language articles in your local language, and get answers in Chinese to reduce communication gaps.
✓ Through AI and knowledge dialogue: Human-machine collaboration creates deep interaction with users, resulting in a noticeable improvement in work efficiency.
Application Context
Generate application
Searching for key information using natural dialogue
Quickly obtain required documents and information with zero barriers, improving search accuracy and work efficiency.
Summarize key information from the document
You can select a document and automatically extract the key information to help you quickly understand the document's main points.
Translate the file into the specified language
Selectable documents can be automatically translated into multiple languages, quickly facilitating cross-language communication.
Cloud Space
Complete access control
You can set permissions for collaborators for specific files and folders to protect data privacy.
Centralized data management and multiple access methods
Personal or team files can be accessed, synchronized, and shared anytime through various devices.
Secure sharing and collaboration
You can set encryption security mechanisms such as passwords and expiration dates for sharing knowledge and information.
Taizhiyun Partner Solution: Customer Service ChatBot (Customer Service Robot)
Retrieval-Augmented Generation (RAG) Application Systems
Features and benefits
✓ Basic Version: Suitable for general users. Data sources can include static archives such as Excel, Word, etc., and data can be updated into the database at any time to expand the knowledge of the language model.
✓ AdvancedVersion: For technical personnel only, can be accessed via...The website can update data into the database at any time, has a robust backend system for resource management, and can save conversation records.Ensure that every customer service record is traceable.
Taizhi Cloud Partner Solution: Document/Knowledge Search Engine
AI Search for KM
Features and benefits
✓ Supports multiple commonly used enterprise file formats: including web pages, compressed files, PDFs, email files, OpenOffice 3.x, etc.
✓ File access control security mechanism: Controls user access permissions to view and query files and documents.
✓ Supports a wide range of flexible search modes: You can search by file title, text, author information, or select your own search scope.
✓ Supports conversational text for Q&A: Easily use conversational text to ask questions about key points in the document.
Taizhi Cloud Partner Solution: LLM Meeting Recording System
Quickly produce high-quality, detailed transcripts of audio recordings, effectively shortening meeting minutes production time and improving work efficiency.
Features and benefits
✓ Capable of recognizing Mandarin, Taiwanese, and English speech: Quickly provides verbatim translations.
✓ Features AI speaker tagging and customized recognition module: Speaker names can be adjusted for easy identification.
✓ User-friendly calibration interface: providesparagraphaudio filesReplayKeyword search and text editing page functions facilitate editing.
✓ Includes file management function: allows for quick retrieval and review of historical records.
3
AFS Coder
The smartest software development assistant that understands you best – seamlessly integrates with your existing software development process.
In the development environment, it instantly assists programmers in quickly generating code, debugging, annotations, etc.
Features and benefits
✓ Quickly deploy applications: A built-in Chat UI provides a quick experience, and a REST API is provided for integration.
✓ Supports local development (Visual Studio Code / CLI) and Git code version control workflow (GitLab CI/CD pipeline).
✓ Diverse development scenarios: Writing Functions, Bug Fixing, Generating Docs/Tests…
✓ Flexible deployment: Providing cloud/ground deployment solutions based on enterprise internal needs.
Application Context
Improve productivity & efficiency
Possessing extensive knowledge of code, it assists developers in program development, debugging, testing, and automated review to improve productivity while reducing the burden on developers.
High data security
The entire application can be deployed in the cloud or on-premises data centers as needed, allowing businesses to use it without connecting to the external network, thus alleviating concerns about the leakage of company secrets.
Strengthen code integrity
The code generated by AFS Coder is customized and highly consistent in both writing and review styles, ensuring high-quality code output.
High integration
It can be directly integrated into existing program development environments, such as Visual Studio Code or GitLab, so that developers do not incur additional usage costs whether they are developing programs or automating program reviews.
4
Insight & Predict
By analyzing data to gain insights and predict targets, we provide BI decision-making references.
Assisting businesses in using LLM to forecast product lifecycle and maintenance costs, thereby boosting operational growth.
Features and benefits
✓ Can make predictions for both structured and unstructured data.
✓ Using Large Language Model (LLM)trendpredict,Hundreds of thousands of data entries can be quickly generated in just a few hours."Enterprise-Specific X-Task Prediction Model"
✓ Reviewing historical data and past patterns allows for more precise maintenance, marketing, and operational decisions.
✓ Personnel can more effectively manage operations, control resources and costs, and increase sales revenue.
Application Context
Smart Manufacturing
Preventive warranty model
By analyzing a product's "module category," "component category," and "sales date," you can determine how long after its sale it will require repair. This information is used to assess the warranty terms for the product and to determine the required inventory level for repair parts.
Smart e-commerce
Consumer purchasing behavior prediction
By analyzing a consumer's "purchase category," "purchased item," "purchase quantity," and "purchase date," we can determine the frequency and quantity of similar products purchased. This information is used to assess the product's sales conditions and the required quantity for evaluation.
Smart Enterprise
Procurement Project Forecast
By analyzing the purchasing unit's "purchase category," "purchased items," "purchase quantity," and "purchase date," the frequency and quantity of products or consumables that a company needs to purchase can be determined. This information is used to assess the company's planning conditions for purchasing related products and to evaluate the required inventory levels.