Introduction
SynthMind seamlessly connects LLM with enterprise data and service
capabilities, efficiently building AI Bot services. It can easily
integrate AI Bot capabilities deeply into actual business
operations, driving business growth and efficiency improvement
through AI.
SynthMind Product Features
SynthMind product has the following advantages and features:
LLMs
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Supports out-of-the-box mainstream commercial large models,
open-source large models, professional domain models, and
customized models with fine-tuning.
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Eliminates the need to invest significant effort in LLM
deployment and fine-tuning, allowing developers to focus more on
core enterprise business.
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Regardless of commercial or open-source models, it can quickly
generate the data needed for model fine-tuning based on
knowledge base data and user dialogue data.
Knowledge Base
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Supports out-of-the-box mainstream commercial large models,
open-source large models, professional domain models, and
customized models with fine-tuning.
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Supports various types of knowledge data such as doc/docx, pdf,
txt, markdown, csv, xls/xlsx, web crawling, Q&A, etc.
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Utilizes different data parsing and segmentation schemes for
different types of data to improve data quality and
completeness.
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Supports a mixed search scheme of sparse vectors and dense
vectors to improve knowledge retrieval accuracy.
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Supports the management, editing, and updating of knowledge
documents in sliced dimensions.
Plugins
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For specific domain requirements, developers can obtain
excellent solutions through Plugins (e.g., investment analysis,
output files, product recommendations, service reservations,
etc.).
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Developers can seamlessly connect with enterprise data and
service capabilities through plugins while ensuring the security
of enterprise data.
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SynthMind not only provides official plugins but also supports
third-party developers to publicly release plugins based on
their own service capabilities.
Flow Bot
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When facing complex requirements and issues, developers can use
Flow to visualize the orchestration of multiple LLMs.
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Defines single-function, clearly defined "vertical LLMs" to
improve quality and stability.
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Multiple "vertical LLMs" and "functional components" work
serially or in parallel through Flow to solve complex problems.
Bot Training
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Chat records support quality scoring, keywords, and topic
summarization, making it easier for developers to understand
user interests.
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Supports summarizing, summarizing, and categorizing user
questions to help developers understand high-frequency user
questions and optimize and supplement relevant knowledge in a
targeted manner.
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Bot training mode supports real-time correction of "dialogue
content" to continuously train the Bot for better
responsiveness.
How does SynthMind product solve the challenges of LLM landing in
enterprises?
SynthMind’s product has the following advantages and features:
LLM Illusion Problem
- Accurate knowledge supplementation of context.
- Bot training and LLM fine-tuning to correct the model.
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Designing reflection mechanisms and verification tools for LLM.
- Optimizing Prompt to limit the range of responses.
General LLM lacks domain knowledge
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Supports various types of knowledge data such as doc/docx, pdf,
txt, markdown, csv, xls/xlsx, web crawling, Q&A, etc.
-
Utilizes different data parsing and segmentation schemes for
different types of data to improve data quality and
completeness.
-
Supports a mixed search scheme of sparse vectors and dense
vectors to improve knowledge retrieval accuracy.
-
Supports the management, editing, and updating of knowledge
documents in sliced dimensions.
Single LLM cannot solve complex tasks in enterprise business
scenarios
- Break down complex problems into multiple branches.
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Flow supports the collaboration of multiple versions of LLM.
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LLM has capabilities such as long short-term memory, plugins,
and knowledge base.
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Incorporate external feedback and information into the LLM
response process.
LLM cannot solve complex tasks in enterprise business scenarios
- Provides a simple and efficient LLMOps platform.
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Solves the challenges of knowledge data loading and retrieval.
- Provides out-of-the-box AI Bot building capabilities.
- Rich and comprehensive API and SDK.
Enterprises lack talent reserves in the AI field
- Nearly zero-threshold use of SynthMind.
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Bot training and fine-tuning LLM capabilities for product
operation personnel.
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No need for extensive AI domain knowledge; enterprise business
personnel can also train and optimize the Bot.
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Developers can complete integration through API interfaces.
