Revise README with updated images and details

Author: mo374z

README.md

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-
 ## 🚀 What is Promptolution?
 
-**Promptolution** is a modular framework for *serious* prompt optimization — built for researchers who want full control over optimizers, datasets, evaluation, and logging.
-Unlike end-to-end agent frameworks (DSPy, LangGraph…), Promptolution focuses **exclusively** on the prompt optimization phase, with clean abstractions, transparent internals, and an extensible API.
-
-It supports:
+**Promptolution** is a unified, modular framework for prompt optimization — built for researchers and advanced practitioners who want full control over their experimental setup. Unlike end-to-end application frameworks with high abstraction, promptolution focuses exclusively on the optimization stage, providing a clean, transparent, and extensible API.
 
-* single-task prompt optimization
-* large-scale experiments
-* local + API-based LLMs
-* fast parallelization
-* clean logs for reproducible research
+<img width="808" height="356" alt="promptolution_framework" src="https://github.com/user-attachments/assets/e3d05493-30e3-4464-b0d6-1d3e3085f575" />
 
-Developed by **Timo Heiß**, **Moritz Schlager**, and **Tom Zehle** (LMU Munich, MCML, ELLIS, TUM, Uni Freiburg).
+Key features include:
 
+* Allowing for single-prompt optimization and large-scale, reproducible benchmark experiments.
+* Implementation of many current prompt optimizers out of the box.
+* Unified LLM backend supporting API-based models, Local LLMs, and vLLM clusters.
+* Built-in response caching to save costs and parallelized inference for speed.
+* Detailed logging and token usage tracking for granular post-hoc analysis.
 
+Have a look at our [Release Notes](https://finitearth.github.io/promptolution/release-notes/) for the latest updates to promptolution.
 
 ## 📦 Installation
 
@@ -57,8 +55,6 @@ cd promptolution
 poetry install
 ```
 
-
-
 ## 🔧 Quickstart
 
 Start with the **Getting Started tutorial**:
@@ -68,7 +64,6 @@ Full docs:
 [https://finitearth.github.io/promptolution/](https://finitearth.github.io/promptolution/)
 
 
-
 ## 🧠 Featured Optimizers
 
 | **Name**      | **Paper**                                              | **Init prompts** | **Exploration** | **Costs** | **Parallelizable** | **Few-shot** |
@@ -78,49 +73,30 @@ Full docs:
 | `EvoPromptGA` | [Guo et al., 2023](https://arxiv.org/abs/2309.08532)   | required         | 👍              | 💲💲      | ✅                  | ❌            |
 | `OPRO`        | [Yang et al., 2023](https://arxiv.org/abs/2309.03409)  | optional         | 👎              | 💲💲      | ❌                  | ❌            |
 
+## 🏗 Components
 
-
-## 🏗 Core Components
-
-* **Task** – wraps dataset fields, init prompts, evaluation.
-* **Predictor** – runs predictions using your LLM backend.
-* **LLM** – unified interface for OpenAI, HuggingFace, vLLM, etc.
-* **Optimizer** – plug-and-play implementations of CAPO, GA/DE, OPRO, and your own custom ones.
-
-
-
-## ⭐ Highlights
-
-* Modular, OOP design → easy customization
-* Experiment-ready architecture
-* Parallel LLM requests
-* LangChain support
-* JSONL logging, callbacks, detailed event traces
-* Works from laptop to cluster
-
-
-
-## 📜 Changelog
-
-[https://finitearth.github.io/promptolution/release-notes/](https://finitearth.github.io/promptolution/release-notes/)
-
-
+* **`Task`** – Manages the dataset, evaluation metrics, and subsampling.
+* **`Predictor`** – Defines how to extract the answer from the model's response.
+* **`LLM`** – A unified interface handling inference, token counting, and concurrency.
+* **`Optimizer`** – The core component that implements the algorithms that refine prompts.
+* **`ExperimentConfig`** – A configuration abstraction to streamline and parametrize large-scale scientific experiments.
 
 ## 🤝 Contributing
 
 Open an issue → create a branch → PR → CI → review → merge.
 Branch naming: `feature/...`, `fix/...`, `chore/...`, `refactor/...`.
 
-### Code Style
+Please ensure to use pre-commit, which assists with keeping the code quality high:
 
 ```
 pre-commit install
 pre-commit run --all-files
 ```
-
-### Tests
+We encourage every contributor to also write tests, that automatically check if the implementation works as expected:
 
 ```
 poetry run python -m coverage run -m pytest
 poetry run python -m coverage report
 ```
+
+Developed by **Timo Heiß**, **Moritz Schlager**, and **Tom Zehle** (LMU Munich, MCML, ELLIS, TUM, Uni Freiburg).