From 4a9f8ea43bc23609f1fcce46e6efb2711b452fe5 Mon Sep 17 00:00:00 2001 From: Byron Hsu Date: Sun, 1 Sep 2024 14:46:36 -0700 Subject: [PATCH] [doc] Fix more broken links (#1294) --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 76aaa9d37..aff7699c1 100644 --- a/README.md +++ b/README.md @@ -393,7 +393,7 @@ You can implement your prompt flow in a function decorated by `sgl.function`. You can then invoke the function with `run` or `run_batch`. The system will manage the state, chat template, parallelism and batching for you. -The complete code for the examples below can be found at [readme_examples.py](examples/usage/readme_examples.py) +The complete code for the examples below can be found at [readme_examples.py](examples/frontend_language/usage/readme_examples.py) #### Control Flow You can use any Python code within the function body, including control flow, nested function calls, and external libraries. @@ -442,7 +442,7 @@ def image_qa(s, image_file, question): s += sgl.assistant(sgl.gen("answer", max_tokens=256) ``` -See also [srt_example_llava.py](examples/quick_start/srt_example_llava.py). +See also [srt_example_llava.py](examples/frontend_language/quick_start/local_example_llava_next.py). #### Constrained Decoding Use `regex` to specify a regular expression as a decoding constraint. @@ -486,7 +486,7 @@ def character_gen(s, name): s += sgl.gen("json_output", max_tokens=256, regex=character_regex) ``` -See also [json_decode.py](examples/usage/json_decode.py) for an additional example of specifying formats with Pydantic models. +See also [json_decode.py](examples/frontend_language/usage/json_decode.py) for an additional example of specifying formats with Pydantic models. #### Batching Use `run_batch` to run a batch of requests with continuous batching.