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Sorted every model list by what a model is made for (#984)
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@@ -52,6 +52,16 @@ public enum ModelKind
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/// </summary>
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VIDEO_GENERATION,
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/// <summary>
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/// The model composes music.
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/// </summary>
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/// <remarks>
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/// Audio comes out of it, but not speech: instruments, arrangement, and in Lyria's case singing
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/// with lyrics. Neither the speech synthesis list nor any other one fits, and a chat request to
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/// such a model gets nothing back that reads like an answer.
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/// </remarks>
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MUSIC_GENERATION,
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/// <summary>
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/// The model transcribes audio into text.
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/// </summary>
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@@ -86,6 +96,27 @@ public enum ModelKind
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/// </remarks>
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COMPUTER_USE,
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/// <summary>
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/// The model runs an errand of its own instead of answering.
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/// </summary>
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/// <remarks>
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/// One request starts a loop which plans, calls tools, runs code and reads the web, and it can
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/// take minutes. Google serves its research and coding agents this way, through an API of their
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/// own which a chat request never reaches. Note that the name alone decides nothing here: what
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/// Perplexity calls deep research is an ordinary chat model with web search.
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/// </remarks>
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AGENT,
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/// <summary>
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/// The model answers a question out of sources handed to it, and says where the answer came from.
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/// </summary>
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/// <remarks>
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/// Built for retrieval rather than for conversation: it is given passages along with the
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/// question, and returns the answer, the citations, and an estimate of whether the question
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/// could be answered from them at all. Reached through a route of its own.
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/// </remarks>
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GROUNDED_ANSWERING,
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/// <summary>
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/// The model extracts text from images or scanned documents.
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/// </summary>
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