Add ViperGPT: A Novel Framework for Programmatic Visual Reasoning

vipergpt.md

@@ -0,0 +1,45 @@
+# ViperGPT: Programmatic Visual Reasoning Framework
+
+## Resource Information
+- **Paper**: [ViperGPT: Visual Inference via Python Execution for Reasoning](https://arxiv.org/abs/2303.08128)
+- **Published**: March 2023
+- **Authors**: Dídac Surís, Sachit Menon, Carl Vondrick
+- **Organization**: Columbia University, Microsoft Research
+
+## Overview
+ViperGPT represents a paradigm shift in visual reasoning by generating executable Python code to compose specialized vision and language models. Instead of end-to-end black-box solutions, it creates interpretable programs that explicitly show the reasoning process.
+
+## Technical Implementation
+```python
+from viper import ViperGPT
+from viper.models import VisionModel, LanguageModel
+
+# Initialize ViperGPT with available models
+viper = ViperGPT(
+    vision_model=VisionModel(),
+    language_model=LanguageModel()
+)
+
+# Example query processing
+def process_visual_query(image, query):
+    # Generate Python code for the query
+    program = viper.generate_program(query)
+
+    # Execute the generated program
+    result = viper.execute(program, image)
+
+    return {
+        'result': result,
+        'reasoning_steps': program.get_steps(),
+        'executed_code': program.get_source()
+    }
+
+# Usage example
+query = "How many red objects are to the left of the blue sphere?"
+results = process_visual_query(image, query)
+
+Why It Matters
+ViperGPT demonstrates how code generation can bridge specialized AI models,
+enabling complex visual reasoning with explicit, verifiable steps. Its modular approach 
+allows continuous improvement as underlying models advance, making it a significant 
+milestone in interpretable AI systems.