Unverified50% confidenceFactExact time
Open-weight models (such as DeepSeek, Qwen, and Mistral) can be downloaded and used, but the training datasets and training scripts remain private and cannot be reproduced.
1
Sources
50%
Confidence
Long-term
Relevance
9/22/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe method is training-free, low-cost, and diagnosable, and can be plug-and-play with any open-source LLM, but is strongly model-dependent and will fail on models such as DeepSeek.74% similarUnverifiedDeepSeek simultaneously open-sourced a complete project named DeepSpark, including training, evaluation, and experiment code, which can be ported to mainstream models such as Qwen and Gemma69% similarUnverifiedDeepSeek open-sourced its trained model weights, training data recipe, and technical report.67% similarUnverifiedTypical examples of synthetic data methods include Meta's Self-Instruct, DeepMind's AlphaCode training pipeline, and the RLHF data augmentation mentioned in OpenAI's GPT-4 technical report66% similarUnverifiedOpen-source models such as DeepSeek, Qwen, and the Llama series are growing increasingly capable, accelerating the trend of leading AI applications developing or fine-tuning their own specialized coding models.65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/940244API
curl https://kongchang.com/api/v1/knowledge/claims/940244MCP
get_claim(id=940244)