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README.md

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+<div align="center">🧠 Cortex45M
+
+Turkish Text Correction Model
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+A TuncerLab AI Research Project
+
+Purpose-built for Turkish. Focused on text correction.
+
+<br/>"License: MIT" (https://img.shields.io/badge/License-MIT-3DA639?style=for-the-badge)
+"Framework: TensorFlow" (https://img.shields.io/badge/Framework-TensorFlow-FF6F00?style=for-the-badge&logo=tensorflow&logoColor=white)
+"Language: Turkish" (https://img.shields.io/badge/Language-Turkish-E30A17?style=for-the-badge)
+"Parameters: 45M" (https://img.shields.io/badge/Parameters-45M-7C3AED?style=for-the-badge)
+
+</div>---
+
+🌌 About Cortex45M
+
+Cortex45M is a Turkish-language AI model developed by TuncerLab, specifically trained for the task of text correction.
+
+Built with TensorFlow and approximately 45 million parameters, Cortex45M is designed around a Turkish-only language focus rather than multilingual general-purpose language modeling.
+
+The model was trained using a corpus totaling approximately 10 GB, with 28,000 training steps dedicated to its training process.
+
+Because Cortex45M targets a specific task—text correction—its training schedule was designed with that objective in mind, using fewer training steps than might be selected for a broader language-model training run.
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+«🇹🇷 One language. One focused task. A dedicated model architecture.»
+
+📊 Model Specifications
+
+Specification| Details
+Model name| Cortex45M
+Developer| TuncerLab
+Parameter count| 45 million
+Training corpus| Approximately 10 GB
+Training steps| 28,000
+Primary language| Turkish only
+Primary task| Text correction
+Framework| TensorFlow
+Model category| Language / NLP
+License| MIT
+
+🎯 Intended Use
+
+Cortex45M is intended for Turkish text-processing applications, including:
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+- ✍️ Correcting spelling mistakes in Turkish text
+- 📝 Improving text-writing quality
+- 🔤 Processing common Turkish character and orthographic errors
+- 🧪 Experimenting with task-specific Turkish NLP
+- 🛠️ Integrating text correction into Turkish-language applications
+
+The quality of corrections may vary depending on the input, context, and types of errors encountered.
+
+🇹🇷 Turkish-First Design
+
+Cortex45M is designed specifically for Turkish-language processing.
+
+Its language focus includes the Turkish alphabet and characters such as:
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+"ç · ğ · ı · İ · ö · ş · ü"
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+A Turkish-only focus allows the project to concentrate its training and evaluation on the linguistic characteristics of Turkish rather than explicitly targeting multilingual operation.
+
+🏋️ Training
+
+Training overview
+
+Cortex45M was trained with a corpus of approximately 10 GB and completed 28,000 training steps.
+
+The training process was task-oriented, focusing on text correction rather than attempting to maximize the number of steps for a general-purpose language model.
+
+Training summary
+
+Training property| Value
+Corpus size| ~10 GB
+Parameters| 45M
+Training steps| 28,000
+Language scope| Turkish
+Objective| Text correction
+Framework| TensorFlow
+
+Important: Corpus size describes the size of the training corpus; it does not, by itself, establish the number of tokens processed, dataset quality, or model accuracy. Those require separate measurements.
+
+⚙️ Framework
+
+Cortex45M uses TensorFlow as its training framework.
+
+Inference requirements depend on the repository's actual model implementation, tokenizer, checkpoint format, and configuration files. Consult the repository files before selecting a loading procedure.
+
+No unverified compatibility with Hugging Face Transformers or other inference frameworks is claimed here.
+
+📈 Evaluation
+
+Model performance should be measured using a representative Turkish text-correction test set.
+
+Recommended metrics include:
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+- Character Error Rate (CER): Character-level correction errors.
+- Word Error Rate (WER): Word-level differences.
+- Exact-match accuracy: Percentage of outputs matching the reference correction.
+- Meaning preservation: Whether the correction retains the original intended meaning.
+- Overcorrection rate: How often the model changes text that was already correct.
+
+Benchmark scores will be added when measured results are available.
+
+⚖️ License
+
+Cortex45M is released under the MIT License, subject to the rights and licensing conditions applicable to the distributed materials.
+
+You may use, modify, distribute, sublicense, and sell copies of materials covered by this license, provided that the copyright and permission notice are included.
+
+Third-party datasets and external components may remain subject to their own licenses.
+
+See the ""LICENSE"" (LICENSE) file for the full license text.
+
+👨‍💻 Developed by TuncerLab
+
+TuncerLab — Independent AI Research & Development
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+Cortex45M is part of the TuncerLab effort to explore dedicated AI models and Turkish-language technology.
+
+⚠️ Disclaimer
+
+Cortex45M is a task-specific AI research project. Its outputs may contain spelling, grammatical, contextual, or semantic errors. Outputs should be reviewed before use in critical applications.
+
+---
+
+<div align="center">🧠 CORTEX45M
+
+45M Parameters · ~10 GB Corpus · 28K Training Steps
+
+Turkish-first AI, developed by TuncerLab.
+
+</div>