Unverified50% confidenceFactTime unknown
Large language models are typically released in two forms: Base Model and Instruction-tuned Model.
1
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50%
Confidence
Long-term
Relevance
9/12/2026
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VerifiedLarge language models are divided into two major types: base models (Base LLM) and instruction-tuned models (Instruction-tuned LLM)80% similarUnverifiedLocal large language models refer to AI language models that run on the user's own devices, with a technical foundation that includes model quantization, efficient inference engines, and model distillation.78% similarUnverifiedThe Model Abstraction Layer establishes a standardized intermediate layer between application logic and the underlying large language model, abstracting functions such as prompt construction, context management, and response parsing, drawing on the dependency inversion principle of software engineering.76% similarUnverifiedThis method is model-agnostic and plug-and-play, can be directly applied during the inference stage without modifying model parameters, and can be applied as an external wrapper layer to different families of large language models.76% similarUnverifiedThe tool-calling mechanism allows large language models to dynamically invoke external functions during inference, representing a fundamental leap from language models to action models.75% similar
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