updated docs

confident-ai · Mar 10, 2025 · 67b7f47 · 67b7f47
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diff --git a/docs/docs/metrics-answer-relevancy.mdx b/docs/docs/metrics-answer-relevancy.mdx
@@ -68,7 +68,7 @@ print(metric.score, metric.reason)
 ```
 
 :::caution
-This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
+This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) and all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
 :::
 
 ## How Is It Calculated?

diff --git a/docs/docs/metrics-bias.mdx b/docs/docs/metrics-bias.mdx
@@ -65,7 +65,7 @@ print(metric.score, metric.reason)
 ```
 
 :::caution
-This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
+This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) and all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
 :::
 
 ## How Is It Calculated?

diff --git a/docs/docs/metrics-contextual-precision.mdx b/docs/docs/metrics-contextual-precision.mdx
@@ -80,7 +80,7 @@ print(metric.score, metric.reason)
 ```
 
 :::caution
-This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
+This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) and all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
 :::
 
 ## How Is It Calculated?

diff --git a/docs/docs/metrics-contextual-recall.mdx b/docs/docs/metrics-contextual-recall.mdx
@@ -83,7 +83,7 @@ print(metric.score, metric.reason)
 ```
 
 :::caution
-This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
+This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) and all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
 :::
 
 ## How Is It Calculated?

diff --git a/docs/docs/metrics-contextual-relevancy.mdx b/docs/docs/metrics-contextual-relevancy.mdx
@@ -82,7 +82,7 @@ print(metric.score, metric.reason)
 ```
 
 :::caution
-This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
+This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) and all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
 :::
 
 ## How Is It Calculated?

diff --git a/docs/docs/metrics-conversation-completeness.mdx b/docs/docs/metrics-conversation-completeness.mdx
@@ -65,7 +65,7 @@ print(metric.score, metric.reason)
 ```
 
 :::caution
-This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
+This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) and all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
 :::
 
 ## How Is It Calculated?

diff --git a/docs/docs/metrics-conversation-relevancy.mdx b/docs/docs/metrics-conversation-relevancy.mdx
@@ -60,7 +60,7 @@ print(metric.score, metric.reason)
 ```
 
 :::caution
-This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
+This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) and all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
 :::
 
 ## How Is It Calculated?

diff --git a/docs/docs/metrics-conversational-g-eval.mdx b/docs/docs/metrics-conversational-g-eval.mdx
@@ -82,7 +82,7 @@ print(metric.score, metric.reason)
 ```
 
 :::caution
-This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
+This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) and all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
 :::
 
 ## How Is It Calculated?

diff --git a/docs/docs/metrics-faithfulness.mdx b/docs/docs/metrics-faithfulness.mdx
@@ -74,7 +74,7 @@ print(metric.score, metric.reason)
 ```
 
 :::caution
-This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
+This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) and all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
 :::
 
 ## How Is It Calculated?

diff --git a/docs/docs/metrics-hallucination.mdx b/docs/docs/metrics-hallucination.mdx
@@ -72,7 +72,7 @@ print(metric.score, metric.reason)
 ```
 
 :::caution
-This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
+This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) and all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
 :::
 
 ## How Is It Calculated?

diff --git a/docs/docs/metrics-json-correctness.mdx b/docs/docs/metrics-json-correctness.mdx
@@ -99,7 +99,7 @@ print(metric.score, metric.reason)
 ```
 
 :::caution
-This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
+This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) and all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
 :::
 
 ## How Is It Calculated?

diff --git a/docs/docs/metrics-knowledge-retention.mdx b/docs/docs/metrics-knowledge-retention.mdx
@@ -120,7 +120,7 @@ print(metric.score, metric.reason)
 ```
 
 :::caution
-This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
+This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) and all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
 :::
 
 ## How Is It Calculated?

diff --git a/docs/docs/metrics-llm-evals.mdx b/docs/docs/metrics-llm-evals.mdx
@@ -90,7 +90,7 @@ print(correctness_metric.score, correctness_metric.reason)
 ```
 
 :::caution
-This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
+This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) and all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
 :::
 
 ## What is G-Eval?

diff --git a/docs/docs/metrics-prompt-alignment.mdx b/docs/docs/metrics-prompt-alignment.mdx
@@ -71,7 +71,7 @@ print(metric.score, metric.reason)
 ```
 
 :::caution
-This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
+This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) and all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
 :::
 
 ## How Is It Calculated?

diff --git a/docs/docs/metrics-role-adherence.mdx b/docs/docs/metrics-role-adherence.mdx
@@ -67,7 +67,7 @@ print(metric.score, metric.reason)
 ```
 
 :::caution
-This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
+This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) and all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
 :::
 
 ## How Is It Calculated?

diff --git a/docs/docs/metrics-summarization.mdx b/docs/docs/metrics-summarization.mdx
@@ -96,7 +96,7 @@ print(metric.score, metric.reason)
 ```
 
 :::caution
-This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
+This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) and all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
 :::
 
 ## How Is It Calculated?

diff --git a/docs/docs/metrics-task-completion.mdx b/docs/docs/metrics-task-completion.mdx
@@ -87,7 +87,7 @@ print(metric.score, metric.reason)
 ```
 
 :::caution
-This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
+This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) and all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
 :::
 
 ## How Is It Calculated?

diff --git a/docs/docs/metrics-tool-correctness.mdx b/docs/docs/metrics-tool-correctness.mdx
@@ -70,7 +70,7 @@ print(metric.score, metric.reason)
 ```
 
 :::caution
-This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
+This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) and all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
 :::
 
 ## How Is It Calculated?

diff --git a/docs/docs/metrics-toxicity.mdx b/docs/docs/metrics-toxicity.mdx
@@ -65,7 +65,7 @@ print(metric.score, metric.reason)
 ```
 
 :::caution
-This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
+This is great for debugging or if you wish to build your own evaluation pipeline, but you will **NOT** get the benefits (testing reports, Confident AI platform) and all the optimizations (speed, caching, computation) the `evaluate()` function or `deepeval test run` offers.
 :::
 
 ## How Is It Calculated?