fix: minor typo in context_precision.md (explodinggradients#2050)

for `Context Precision without reference` definition, i.e
LLMContextPrecisionWithoutReference metric can be used when you have
both retrieved contexts and also reference contexts associated with a
user_input.

Here, it should be reference `answer` instead of reference `contexts` as
per my understanding

Similarly, 

for `Context Precision with reference definition` i.e
LLMContextPrecisionWithReference metric is can be used when you have
both retrieved contexts and also reference answer associated with a
user_input.

here, reference answer should be replaced with reference context

Author: AbhishekRP2002

docs/concepts/metrics/available_metrics/context_precision.md

@@ -17,7 +17,7 @@ The following metrics uses LLM to identify if a retrieved context is relevant or
 
 ### Context Precision without reference
 
-`LLMContextPrecisionWithoutReference` metric can be used when you have both retrieved contexts and also reference contexts associated with a `user_input`. To estimate if a retrieved contexts is relevant or not this method uses the LLM to compare each of the retrieved context or chunk present in `retrieved_contexts` with `response`.
+`LLMContextPrecisionWithoutReference` metric can be used when you have both retrieved contexts and also reference answer associated with a `user_input`. To estimate if a retrieved contexts is relevant or not this method uses the LLM to compare each of the retrieved context or chunk present in `retrieved_contexts` with `response`.
 
 #### Example
 
@@ -43,7 +43,7 @@ Output
 
 ### Context Precision with reference
 
-`LLMContextPrecisionWithReference` metric is can be used when you have both retrieved contexts and also reference answer associated with a `user_input`. To estimate if a retrieved contexts is relevant or not this method uses the LLM to compare each of the retrieved context or chunk present in `retrieved_contexts` with `reference`. 
+`LLMContextPrecisionWithReference` metric is can be used when you have both retrieved contexts and also reference context associated with a `user_input`. To estimate if a retrieved contexts is relevant or not this method uses the LLM to compare each of the retrieved context or chunk present in `retrieved_contexts` with `reference`. 
 
 #### Example