Expired50% confidenceFactTime unknown
DeepSeek's training data covers extensive open-source code repositories, technical documentation, and academic papers
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
OpenCode + DeepSeek Zero-Code CAE Simulation Software Development: Building a Complete Engineering Platform for $7
bilibili蓬莱云
Related Claims
UnverifiedDeepSeek open-sourced its trained model weights, training data recipe, and technical report.84% similarUnverifiedThe DeepSeek large language model ingested massive open-source code repositories, technical documentation, and Q&A data from sources such as Stack Overflow during its pre-training phase, giving it strong pattern recognition capabilities for common encryption algorithms.82% similarUnverifiedDeepSeek has open-sourced the inference acceleration toolkit DSpec (also known as DeepSpec), which has its speculative decoding technology (DSPI/MTP series) built in and includes a complete GitHub repository containing model code, training scripts, and evaluation tools.77% similarUnverifiedDeepSeek is known for its open-source approach and low-cost training strategy.77% 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 Gemma76% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/56832API
curl https://kongchang.com/api/v1/knowledge/claims/56832MCP
get_claim(id=56832)