Verified65% confidenceFactExact time
The concept of Foundation Model was formally proposed by Stanford HAI in 2021, referring to general-purpose models pre-trained on ultra-large-scale data that can be transferred to various downstream tasks with a small amount of labeled data.
3
Sources
65%
Confidence
Long-term
Relevance
7/23/2026
First Seen
Sources
Kronos金融基础模型：用AI读懂K线市场语言
Related Claims
UnverifiedA Foundation Model refers to a large-scale pre-trained model that can serve as a general-purpose base to be fine-tuned for downstream tasks or directly invoked.78% similarUnverifiedThe large model engineering and deployment direction refers to application development or application training on top of existing foundation models, such as calling models like DeepSeek or OpenAI for agent development, RAG systems, or model fine-tuning.70% similarUnverifiedGeneral-purpose AI models refer to foundation models pre-trained on large-scale data that are capable of handling a wide range of tasks, including the GPT series, Claude, Gemini, and Llama.70% similarUnverifiedZhipu's next-generation large model will adopt a large base model approach, with the goal of supporting full-scale business API calls from the day of its release.69% similarUnverifiedWorld-model-based planning falls into two categories: Model Predictive Control (MPC) and training policies within simulation.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/598851API
curl https://kongchang.com/api/v1/knowledge/claims/598851MCP
get_claim(id=598851)