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#LargeLanguageModels

Explore AIstify's latest reporting, research, and expert analysis tagged with "large language models", collected in one continuously updated archive.

Related Posts

Zero-Shot Learning
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Zero-Shot Learning

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Zero-shot learning lets an AI model perform a new task or recognize an unseen category without task-specific labeled examples.

Foundation Model
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Foundation Model

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A foundation model is a large, broadly trained AI model that can be adapted or prompted for many different tasks and applications.

Transformer
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Transformer

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A transformer is a neural network architecture built on attention and used in modern language, vision, audio, video, and multimodal AI models.

Temperature
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Temperature

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Temperature is a generative AI setting that adjusts how strongly a model favors likely tokens, influencing output consistency and variation.

Attention Mechanism
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Attention Mechanism

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An attention mechanism helps an AI model focus on the most relevant parts of its input when interpreting information or generating an output.

Fine-Tuning
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Fine-Tuning

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Fine-tuning adapts a pretrained AI model to a specific task, domain, or behavior by continuing training on targeted examples.

Prompt Engineering
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Prompt Engineering

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Prompt engineering is the practice of designing instructions, context, examples, and output rules that help generative AI perform tasks reliably.

LLMOps
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LLMOps

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LLMOps is the discipline of developing, deploying, evaluating, monitoring, and maintaining applications built around large language models.

Prompt Injection
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Prompt Injection

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Prompt injection is an AI security attack that uses malicious instructions to override a model’s rules, expose data, or trigger unauthorized tool actions.