(docs) add tutorial on using litellm with autoeval

docs/my-website/docs/tutorials/eval_suites.md

@@ -0,0 +1,67 @@
+# Evaluate LLMs - Auto Eval, MlFlow
+
+## Using LiteLLM with AutoEval
+AutoEvals is a tool for quickly and easily evaluating AI model outputs using best practices.
+https://github.com/braintrustdata/autoevals
+
+## Pre Requisites
+```shell
+pip install litellm
+```
+```shell
+pip install autoevals
+```
+
+### Quick Start
+```python
+from autoevals.llm import *
+import autoevals
+
+# litellm completion call
+import litellm
+question = "which country has the highest population"
+response = litellm.completion(
+    model = "gpt-3.5-turbo",
+    messages = [
+        {
+            "role": "user",
+            "content": question
+        }
+    ],
+)
+
+# use the auto eval Factuality() evaluator
+evaluator = Factuality()
+openai.api_key = "" # set your openai api key for evaluator
+result = evaluator(
+    output=response.choices[0]["message"]["content"],       # response from litellm.completion()
+    expected="India",                                       # expected output
+    input=question                                          # question passed to litellm.completion
+)
+
+print(result)
+```
+
+#### Output of Evaluation - from AutoEvals
+```shell
+Score(
+    name='Factuality', 
+    score=0, 
+    metadata=
+        {'rationale': "The expert answer is 'India'.\nThe submitted answer is 'As of 2021, China has the highest population in the world with an estimated 1.4 billion people.'\nThe submitted answer mentions China as the country with the highest population, while the expert answer mentions India.\nThere is a disagreement between the submitted answer and the expert answer.", 
+        'choice': 'D'
+        }, 
+    error=None
+)
+```
+
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docs/my-website/sidebars.js

@@ -94,9 +94,10 @@ const sidebars = {
       label: 'Tutorials',
       items: [
         'tutorials/azure_openai',
+        "tutorials/lm_evaluation_harness",
+        "tutorials/eval_suites",
         'tutorials/oobabooga',
         "tutorials/gradio_integration",
-        "tutorials/lm_evaluation_harness",
         'tutorials/huggingface_codellama',
         'tutorials/huggingface_tutorial', 
         'tutorials/TogetherAI_liteLLM',