diff --git a/README.md b/README.md
index 92c080df..e129be08 100644
--- a/README.md
+++ b/README.md
@@ -1,13 +1,13 @@
 <p align="center">
   <a href="https://bespokelabs.ai/" target="_blank">
     <picture>
-      <source media="(prefers-color-scheme: light)" width="80" srcset="https://raw.githubusercontent.com/bespokelabsai/curator/main/docs/Bespoke-Labs-Logomark-Red.png">
-      <img alt="Bespoke Labs Logo" width="80" src="https://raw.githubusercontent.com/bespokelabsai/curator/main/docs/Bespoke-Labs-Logomark-Red-on-Black.png">
+      <source media="(prefers-color-scheme: light)" width="80px" srcset="https://raw.githubusercontent.com/bespokelabsai/curator/main/docs/Bespoke-Labs-Logomark-Red.png">
+      <img alt="Bespoke Labs Logo" width="80px" src="https://raw.githubusercontent.com/bespokelabsai/curator/main/docs/Bespoke-Labs-Logomark-Red-on-Black.png">
     </picture>
   </a>
 </p>
 
-<h1 align="center">Bespoke Labs Curator</h1>
+<h1 align="center">Bespoke Curator</h1>
 <h3 align="center" style="font-size: 20px; margin-bottom: 4px">Data Curation for Post-Training & Structured Data Extraction</h3>
 <br/>
 <p align="center">
@@ -26,6 +26,22 @@
   </a>
 </p>
 
+### Overview
+
+Bespoke Curator makes it very easy to create high-quality synthetic data at scale, which you can use to finetune models or use for structured data extraction at scale.
+
+Bespoke Curator is an open-source project:
+* That comes with a rich Python based library for generating and curating synthetic data.
+* A Curator Viewer which makes it easy to view the datasets, thus aiding in the dataset creation.
+* We will also be releasing high-quality datasets that should move the needle on post-training.
+
+### Key Features
+
+1. **Programmability and Structured Outputs**: Synthetic data generation is lot more than just using a single prompt -- it involves calling LLMs multiple times and orchestrating control-flow. Curator treats structured outputs as first class citizens and helps you design complex pipelines.
+2. **Built-in Performance Optimization**: We often see calling LLMs in loops, or inefficient implementation of multi-threading. We have baked in performance optimizations so that you don't need to worry about those!
+3. **Intelligent Caching and Fault Recovery**: Given LLM calls can add up in cost and time, failures are undesirable but sometimes unavoidable. We cache the LLM requests and responses so that it is easy to recover from a failure. Moreover, when working on a multi-stage pipeline, caching of stages makes it easy to iterate.
+4. **Native HuggingFace Dataset Integration**: Work directly on HuggingFace Dataset objects throughout your pipeline. Your synthetic data is immediately ready for fine-tuning!
+5. **Interactive Curator Viewer**: Improve and iterate on your prompts using our built-in viewer. Inspect LLM requests and responses in real-time, allowing you to iterate and refine your data generation strategy with immediate feedback.
 
 ### Installation
 
@@ -72,9 +88,9 @@ poet = curator.Prompter(
 poem = poet(topics)
 print(poem.to_pandas())
 # Example output:
-#                                       topic                                               poem
-# 0       Urban loneliness in a bustling city  In the city's heart, where the sirens wail,\nA...
-# 1       Urban loneliness in a bustling city  City streets hum with a bittersweet song,\nHor...
+#    topic                                     poem
+# 0  Urban loneliness in a bustling city       In the city's heart, where the sirens wail,\nA...
+# 1  Urban loneliness in a bustling city       City streets hum with a bittersweet song,\nHor...
 # 2  Beauty of Bespoke Labs's Curator library  In whispers of design and crafted grace,\nBesp...
 # 3  Beauty of Bespoke Labs's Curator library  In the hushed breath of parchment and ink,\nBe...
 ```
@@ -134,3 +150,6 @@ node -v # should print `v22.11.0`
 # verifies the right npm version is in the environment
 npm -v # should print `10.9.0`
 ```
+
+## Contributing
+Contributions are welcome! 
\ No newline at end of file
diff --git a/bespoke-dataset-viewer/app/favicon.ico b/bespoke-dataset-viewer/app/favicon.ico
index 718d6fea..861c19a4 100644
Binary files a/bespoke-dataset-viewer/app/favicon.ico and b/bespoke-dataset-viewer/app/favicon.ico differ
diff --git a/bespoke-dataset-viewer/app/layout.tsx b/bespoke-dataset-viewer/app/layout.tsx
index 13090471..03590f7a 100644
--- a/bespoke-dataset-viewer/app/layout.tsx
+++ b/bespoke-dataset-viewer/app/layout.tsx
@@ -3,7 +3,7 @@ import "./globals.css";
 
 
 export const metadata: Metadata = {
-  title: "Bella Dataset Viewer",
+  title: "Curator Viewer",
   description: "A powerful dataset viewer and analysis tool",
 };
 
diff --git a/bespoke-dataset-viewer/components/dataset-viewer/DetailsSidebar.tsx b/bespoke-dataset-viewer/components/dataset-viewer/DetailsSidebar.tsx
index 8a3865f7..02d5fcd5 100644
--- a/bespoke-dataset-viewer/components/dataset-viewer/DetailsSidebar.tsx
+++ b/bespoke-dataset-viewer/components/dataset-viewer/DetailsSidebar.tsx
@@ -45,13 +45,33 @@ export function DetailsSidebar({ item, onClose }: DetailsSidebarProps) {
                 <p className="text-sm text-muted-foreground">{item.generic_request.model}</p>
               </div>
               <Separator />
+              {item.generic_request.messages.some(m => m.role === "system") && (
+                <>
+                  <div className="space-y-2">
+                    <h3 className="text-lg font-semibold">System Prompt</h3>
+                    <p className="text-sm text-muted-foreground whitespace-pre-wrap">
+                      {item.generic_request.messages.find(m => m.role === "system")?.content}
+                    </p>
+                    <Button 
+                      onClick={() => copyToClipboard(item.generic_request.messages.find(m => m.role === "system")?.content || "")} 
+                      variant="outline" 
+                      size="sm" 
+                      className="mt-2"
+                    >
+                      <Copy className="h-4 w-4 mr-2" />
+                      Copy
+                    </Button>
+                  </div>
+                  <Separator />
+                </>
+              )}
               <div className="space-y-2">
                 <h3 className="text-lg font-semibold">User Message</h3>
                 <p className="text-sm text-muted-foreground whitespace-pre-wrap">
                   {item.generic_request.messages.find(m => m.role === "user")?.content}
                 </p>
                 <Button 
-                                  onClick={() => copyToClipboard(item.generic_request.messages.find(m => m.role === "user")?.content || "")} 
+                  onClick={() => copyToClipboard(item.generic_request.messages.find(m => m.role === "user")?.content || "")} 
                   variant="outline" 
                   size="sm" 
                   className="mt-2"
diff --git a/docs/Bespoke-Labs-Logomark-Red-Small.png b/docs/Bespoke-Labs-Logomark-Red-Small.png
new file mode 100644
index 00000000..633b7715
Binary files /dev/null and b/docs/Bespoke-Labs-Logomark-Red-Small.png differ
diff --git a/examples/poem.py b/examples/poem.py
index f7cfe704..5697e5e2 100644
--- a/examples/poem.py
+++ b/examples/poem.py
@@ -55,4 +55,4 @@ class Poems(BaseModel):
 # 0                            Dreams vs. reality  In the realm where dreams take flight,\nWhere ...
 # 1                            Dreams vs. reality  Reality stands with open eyes,\nA weighty thro...
 # 2           Urban loneliness in a bustling city  In the city's heart where shadows blend,\nAmon...
-# 3           Urban loneliness in a bustling city  Among the crowds, I walk alone,\nA sea of face...
\ No newline at end of file
+# 3           Urban loneliness in a bustling city  Among the crowds, I walk alone,\nA sea of face...
diff --git a/pyproject.toml b/pyproject.toml
index ee4fc750..d7262c11 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "bespokelabs-curator"
-version = "0.1.7"
+version = "0.1.9post1"
 description = "Bespoke Labs Curator"
 authors = ["Bespoke Labs <company@bespokelabs.ai>"]
 readme = "README.md"
diff --git a/src/bespokelabs/curator/prompter/prompter.py b/src/bespokelabs/curator/prompter/prompter.py
index 63710b28..a8afa2da 100644
--- a/src/bespokelabs/curator/prompter/prompter.py
+++ b/src/bespokelabs/curator/prompter/prompter.py
@@ -51,6 +51,8 @@ def __init__(
         batch_size: Optional[int] = None,
         temperature: Optional[float] = None,
         top_p: Optional[float] = None,
+        presence_penalty: Optional[float] = None,
+        frequency_penalty: Optional[float] = None,
     ):
         """Initialize a Prompter.
 
@@ -64,6 +66,10 @@ def __init__(
                 response format from the LLM.
             batch (bool): Whether to use batch processing
             batch_size (Optional[int]): The size of the batch to use, only used if batch is True
+            temperature (Optional[float]): The temperature to use for the LLM, only used if batch is False
+            top_p (Optional[float]): The top_p to use for the LLM, only used if batch is False
+            presence_penalty (Optional[float]): The presence_penalty to use for the LLM, only used if batch is False
+            frequency_penalty (Optional[float]): The frequency_penalty to use for the LLM, only used if batch is False
         """
         prompt_sig = inspect.signature(prompt_func)
         if len(prompt_sig.parameters) > 1:
@@ -93,6 +99,8 @@ def __init__(
                 batch_size=batch_size,
                 temperature=temperature,
                 top_p=top_p,
+                presence_penalty=presence_penalty,
+                frequency_penalty=frequency_penalty,
             )
         else:
             if batch_size is not None:
@@ -100,7 +108,11 @@ def __init__(
                     f"Prompter argument `batch_size` {batch_size} is ignored because `batch` is False"
                 )
             self._request_processor = OpenAIOnlineRequestProcessor(
-                model=model_name, temperature=temperature, top_p=top_p
+                model=model_name,
+                temperature=temperature,
+                top_p=top_p,
+                presence_penalty=presence_penalty,
+                frequency_penalty=frequency_penalty,
             )
 
     def __call__(
diff --git a/src/bespokelabs/curator/request_processor/openai_batch_request_processor.py b/src/bespokelabs/curator/request_processor/openai_batch_request_processor.py
index 64027b72..ca1520ed 100644
--- a/src/bespokelabs/curator/request_processor/openai_batch_request_processor.py
+++ b/src/bespokelabs/curator/request_processor/openai_batch_request_processor.py
@@ -35,6 +35,8 @@ def __init__(
         check_interval: int = 10,
         api_key: str = os.getenv("OPENAI_API_KEY"),
         url: str = "https://api.openai.com/v1/chat/completions",
+        presence_penalty: float | None = None,
+        frequency_penalty: float | None = None,
     ):
         if batch_size > MAX_REQUESTS_PER_BATCH:
             raise ValueError(
@@ -48,6 +50,8 @@ def __init__(
         self.check_interval: int = check_interval
         self.temperature: float | None = temperature
         self.top_p: float | None = top_p
+        self.presence_penalty: float | None = presence_penalty
+        self.frequency_penalty: float | None = frequency_penalty
 
     def get_rate_limits(self) -> dict:
         """
@@ -132,6 +136,12 @@ def create_api_specific_request(
         if self.top_p is not None:
             body["top_p"] = self.top_p
 
+        if self.presence_penalty is not None:
+            body["presence_penalty"] = self.presence_penalty
+
+        if self.frequency_penalty is not None:
+            body["frequency_penalty"] = self.frequency_penalty
+
         request = {
             "custom_id": str(generic_request.original_row_idx),
             "method": "POST",
diff --git a/src/bespokelabs/curator/request_processor/openai_online_request_processor.py b/src/bespokelabs/curator/request_processor/openai_online_request_processor.py
index 379d3fe3..1a199f1c 100644
--- a/src/bespokelabs/curator/request_processor/openai_online_request_processor.py
+++ b/src/bespokelabs/curator/request_processor/openai_online_request_processor.py
@@ -36,6 +36,8 @@ def __init__(
         url: str = "https://api.openai.com/v1/chat/completions",
         temperature: Optional[float] = None,
         top_p: Optional[float] = None,
+        presence_penalty: Optional[float] = None,
+        frequency_penalty: Optional[float] = None,
     ):
         super().__init__(batch_size=None)
         self.model: str = model
@@ -43,6 +45,8 @@ def __init__(
         self.api_key: str = api_key
         self.temperature: float = temperature
         self.top_p: float = top_p
+        self.presence_penalty: float = presence_penalty
+        self.frequency_penalty: float = frequency_penalty
 
     def get_rate_limits(self) -> dict:
         """
@@ -117,6 +121,12 @@ def create_api_specific_request(
         if self.top_p is not None:
             request["top_p"] = self.top_p
 
+        if self.presence_penalty is not None:
+            request["presence_penalty"] = self.presence_penalty
+
+        if self.frequency_penalty is not None:
+            request["frequency_penalty"] = self.frequency_penalty
+
         return request
 
     def run(