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讯飞星辰MaaS

讯飞星辰MaaS

IFLYTEK's AI large model customization...

3.9| Editor Rating
科大讯飞
China

Editor Review

iFLYTEK Xingchen MaaS's core value is zero-code fine-tuning — users without programming skills can fine-tune large models by uploading datasets, selecting models, and configuring parameters. The platform aggregates 20+ industry models including Spark, Llama, and DeepSeek. Batch inference with up to simultaneously facilitates model comparison. OpenAI protocol compatibility enables seamless migration, with function_call fine-tuning support. New users get 10 hours of free GPU resources. Best suited for enterprise users needing custom models without deep learning expertise, Spark model ecosystem developers, and AI teams requiring multi-model comparison fine-tuning.

AI Tools Navigator Editorial TeamUpdated: 2026-02-03

What is 讯飞星辰MaaS

iFLYTEK Xingchen MaaS is iFLYTEK's AI large model customization and fine-tuning platform, featuring 20+ industry models (Spark, Llama, DeepSeek, etc.). It supports zero-code fine-tuning and online Notebook coding, with LoRA and full-parameter training methods, multiple dataset formats, Loss curve monitoring, model evaluation, and batch inference of up to simultaneously.

Basic Info

Category:
Company:科大讯飞
Country:China

Best For

Developers

Difficulty: Intermediate

讯飞星辰MaaS Key Features

  • Zero-Code Model Fine-Tuning

    Fine-tune large models without coding by uploading datasets, selecting models, and configuring parameters

  • 20+ Industry Model Library

    Aggregates 20+ quality models including Spark, Llama, and DeepSeek, covering multiple industry scenarios

  • Multi-Model Batch Inference

    Supports up to for simultaneous online batch inference, facilitating fine-tuning comparison and model selection

  • Training Monitoring & Evaluation

    Real-time Loss curve display for training monitoring, with judge scoring model to evaluate fine-tuning effectiveness

讯飞星辰MaaS Key Advantages

  • Zero-code fine-tuning requires no programming; upload dataset + select model + configure params to complete fine-tuning
  • Up to for simultaneous batch inference enables quick fine-tuning comparison
  • OpenAI protocol compatible with function_call fine-tuning support for low migration cost
  • New users get 10 hours free GPU resources, sufficient for initial fine-tuning experiments

讯飞星辰MaaS Use Cases

  • Enterprise Custom Models

    Enterprises upload industry data to fine-tune custom models, improving model performance in specific business scenarios

  • Model Performance Comparison

    Use batch inference to compare multiple fine-tuned models simultaneously and select the best option

Frequently Asked Questions

Does iFLYTEK Xingchen MaaS offer free resources?▼

New users get 10 hours of free GPU resources, sufficient for initial fine-tuning experiments. Additional computing power can be requested via support tickets.

What models can be fine-tuned?▼

The platform features 20+ industry models including iFLYTEK Spark, Meta Llama, and DeepSeek Supports LoRA and full-parameter fine-tuning with ShareGPT, Alpaca, and other data formats.

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