improve docs
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@@ -9,8 +9,9 @@ The core features of SGLang include:
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- **A High-Performance Runtime with RadixAttention**: This feature significantly accelerates the execution of complex LLM programs by automatic KV cache reuse across multiple calls. It also supports other common techniques like continuous batching and tensor parallelism.
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## News
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- [2024/01] 🔥 SGLang powers the serving of the offical LLaVA v1.6 release demo ([blog](https://llava-vl.github.io/blog/2024-01-30-llava-1-6/)).
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- [2024/01] SGLang provides up to 5x faster inference with RadixAttention ([blog](https://lmsys.org/blog/2024-01-17-sglang/)).
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- [2024/02] 🔥 SGLang enables **3x faster JSON decoding** with compressed finite state machine ([blog](https://lmsys.org/blog/2024-02-05-compressed-fsm/)).
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- [2024/01] 🔥 SGLang powers the serving of the offical **LLaVA v1.6** release demo ([usage](https://github.com/haotian-liu/LLaVA?tab=readme-ov-file#demo)).
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- [2024/01] SGLang provides up to **5x faster inference** with RadixAttention ([blog](https://lmsys.org/blog/2024-01-17-sglang/)).
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## Contents
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- [Install](#install)
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@@ -216,7 +217,7 @@ character_regex = (
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@sgl.function
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def character_gen(s, name):
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s += name + " is a character in Harry Potter. Please fill in the following information about him/her.\n"
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s += name + " is a character in Harry Potter. Please fill in the following information about this character.\n"
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s += sgl.gen("json_output", max_tokens=256, regex=character_regex)
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```
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@@ -64,7 +64,7 @@ def character_maker(lm, name):
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regex_str_no_quote = r"[\w\d\s]+"
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regex_float = r"[0-9]+\.[0-9]+"
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lm += f"""\
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{name} is a character in Harry Potter. Please fill in the following information about him/her.
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{name} is a character in Harry Potter. Please fill in the following information about this character.
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{{
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"name": "{guidance.gen("name", max_tokens=16, regex=regex_str_no_quote)}",
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"house": "{guidance.select(options=['Gryffindor', 'Slytherin', 'Ravenclaw', 'Hufflepuff'], name='house')}",
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