Expired50% confidenceFactExact time
Inference frameworks commonly used in the engineering deployment stage include Ollama, vLLM, and TGI
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/8/2026
First Seen
Valid until: 10/6/2026(expired)
Sources
程序员入门大模型：从Prompt到Agent的完整进阶路线
bilibili吴恩达LLM7/7/2026
Related Claims
UnverifiedThe model deployment stage involves model quantization, inference acceleration frameworks (such as vLLM and Ollama), and API encapsulation.80% similarVerifiedCommon local inference frameworks include Ollama, llama.cpp, and vLLM.74% similarUnverifiedInference frameworks such as Ollama and vLLM have begun to support Function Calling capabilities for some models.72% similarVerifiedLLM-based agent frameworks typically adopt design patterns such as ReAct (Reasoning + Acting) or Plan-and-Execute.70% similarUnverifiedThe model training section of this project organizes full-pipeline resources covering pre-training, fine-tuning (SFT/RLHF/DPO), and efficient inference deployment.70% similar
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