update doc

docs/source/concepts/evaluation_concepts.md

@@ -37,7 +37,7 @@ The list of open-benchmarks we currently support:
 - [MMMU](https://arxiv.org/abs/2311.16502) (A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI)]: Benchmark designed to evaluate multimodal models.
 
 
-You can follow this [contributing guide](../references/evals_reference/index.html#open-benchmark-contributing-guide) to add more open-benchmarks to Llama Stack
+You can follow this [contributing guide](https://llama-stack.readthedocs.io/en/latest/references/evals_reference/index.html#open-benchmark-contributing-guide) to add more open-benchmarks to Llama Stack
 
 ### Run evaluation on open-benchmarks via CLI
 

docs/source/references/evals_reference/index.md

@@ -372,7 +372,7 @@ The purpose of scoring function is to calculate the score for each example based
 Firstly, you can see if the existing [llama stack scoring functions](https://github.com/meta-llama/llama-stack/tree/main/llama_stack/providers/inline/scoring) can fulfill your need. If not, you need to write a new scoring function based on what benchmark author / other open source repo describe.
 
 ### Add new benchmark into template
-Firstly, you need to add the evaluation dataset associated with your benchmark under `datasets` resource in templates/open-benchmark/run.yaml
+Firstly, you need to add the evaluation dataset associated with your benchmark under `datasets` resource in the [open-benchmark](https://github.com/meta-llama/llama-stack/blob/main/llama_stack/templates/open-benchmark/run.yaml)
 
 Secondly, you need to add the new benchmark you just created under the `benchmarks` resource in the same template. To add the new benchmark, you need to have
 - `benchmark_id`: identifier of the benchmark

llama_stack/templates/open-benchmark/run.yaml

@@ -1,5 +1,5 @@
 version: '2'
-image_name: dev
+image_name: open-benchmark
 apis:
 - agents
 - datasetio