Top-k Sampling
Top-k sampling is a text generation strategy that restricts token selection to the k most probable next tokens. It prevents the model from selecting highly unlikely tokens while maintaining output diversity.
Understanding Top-k Sampling
Top-k sampling is a text generation strategy that restricts the model's token selection to the k most probable next tokens at each decoding step, redistributing probability mass among only those candidates. This technique prevents the model from selecting highly unlikely tokens that could derail coherent text generation while still maintaining diversity in outputs. With k=1, the method becomes greedy decoding, always picking the most likely token, while larger k values allow more creative and varied outputs. Top-k sampling is often combined with temperature scaling to further control randomness and with top-p sampling for more adaptive thresholding. Finding the optimal k value depends on the application: factual question answering benefits from smaller k values, while creative writing and brainstorming benefit from larger ones. It is a standard parameter in most text generation APIs.
Category
Generative AI
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Chain of thought is a prompting technique that encourages large language models to break down complex reasoning into intermediate steps. This approach significantly improves performance on math, logic, and multi-step reasoning tasks.
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ChatGPT is an AI chatbot developed by OpenAI that uses large language models to generate human-like conversational responses. It became one of the fastest-growing consumer applications in history after its launch in November 2022.
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A discriminator is the component of a GAN that learns to distinguish between real and generated data. It provides feedback to the generator, creating an adversarial training dynamic that improves output quality.
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A foundation model is a large AI model trained on broad data that can be adapted to a wide range of downstream tasks. GPT-4, Claude, Gemini, and DALL-E are examples of foundation models that serve as bases for specialized applications.
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