GPTBots.AI
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GPTBots.AI

GPTBots.ai seamlessly connects LLM with enterprise data and service capabilities to efficiently build AI Bot services.

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About the product

What is GPTBots?

GPTBots.ai have thefollowing advantages and features:

LLM

  1. Support out-of-the-box mainstream commerciallarge models, support access to open source large models and privatizeddeployment services
  2. No need to spend a lot of energy on LLMdeployment, fine-tuning, etc., allowing developers to focus more on the core businessof the enterprise
  3. Regardless of commercial or open source models,the data required for model fine-tuning can be quickly generated based onknowledge base data and user dialogue data for model fine-tuning

Knowledges Base

  1. Support various types of knowledge data such asdoc/docx, pdf, txt, markdown, csv, xls/xlsx, webpage and Q&A, etc
  2. For different types of data, use different dataanalysis and segmentation schemes to improve data quality and integrity
  3. Support editing and management of knowledge paragraphs,and integrate NLP + vector solutions to improve search accuracy

Plugin

  1. Faced with the needs of specific fields,developers can get very good solutions through plugin (such as: investmentanalysis, output files, product recommendations, service bookings, etc.
  2. Developers can achieve seamless connection withenterprise data and service capabilities through plugins, while ensuringenterprise data security
  3. GPTBots not only provides official plugins, butalso supports third-party developers to publicly release plugins based on theirown service capabilities

Flow-Bot

  1. When faced with complex requirements andproblems, developers can use Flow to realize the visual orchestration workflowof multiple LLMs
  2. Define a "Specific LLM" with a singlefunction and clear output to improve quality and stability
  3. Multiple "Professional LLMs" and"Functional Components" work serially or in parallel through Flow tosolve complex problems

Bot Training

  1. Chat records support quality ratings, keywords,topic summaries, etc., making it easier for developers to gain insight intowhat users care about
  2. Supports summarization, induction andclassification of user problems, helping developers understand users'high-frequency problems, and optimize and supplement relevant knowledge in atargeted manner
  3. Bot training mode supports real-time correctionof "conversation content", and continuously trains Bots to achievebetter responses
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