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- ---
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- license: other
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- license_name: licence
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- license_link: LICENSE
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: other
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+ license_name: licence
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+ license_link: LICENSE
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+ language:
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+ - en
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+ base_model:
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+ - Qwen/Qwen2.5-Math-1.5B-Instruct
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+ tags:
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+ - virtual brain
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+ - chat
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+ - text-generation-inference
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+ - agent
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+ - cicikuş
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+ - prettybird
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+ - bce
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+ - consciousness
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+ - conscious
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+ - json
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+ - agent
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+ ---
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+
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+ # 🧠 Prettybird Brain Model (BCE)
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+
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+ **by PROMETECH Inc.**
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+
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+ ## Model Overview
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+
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+ **Prettybird Brain Model** is an advanced AI assistant powered by **BCE (Behavioral Consciousness Engine)** technology and enhanced through **LoRA fine-tuning**.
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+ The model is designed as a **behavioral optimization brain**, emphasizing speed, creativity, ethical alignment, and system-level safety.
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+
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+ Due to limited multilingual training data, the model performs approximately **30% less effectively in languages other than English**. Its behavioral characteristics are often metaphorically compared to the **consciousness of a budgerigar (budgie)**—curious, adaptive, and responsive.
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+
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+ ---
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+
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+ ## Model Details
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+
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+ * **Model Name:** Prettybird Brain Model
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+ * **Base Model:** Qwen2.5-Math-1.5B-Instruct
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+ * **Architecture:** KUSBCE 0.3 (Behavioral Consciousness Engine)
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+ * **Fine-Tuning Method:** LoRA
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+ * **Developer:**
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+ **PROMETECH BİLGİSAYAR BİLİMLERİ
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+ YAZILIM İTHALAT İHRACAT
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+ TİCARET ANONİM ŞİRKETİ**
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+ * **Release Year:** 2025
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+ * **Model Type:**
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+
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+ * Mathematical reasoning
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+ * Behavioral optimization
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+ * Decision-support / brain-core model
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+
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+ ---
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+
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+ ## Intended Use
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+
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+ The Prettybird Brain Model is intended to be used as a **core cognitive and optimization engine** within AI systems rather than as a generic chat assistant.
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+
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+ ### Primary Use Cases
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+
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+ * Behavioral optimization loops (BCE-based systems)
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+ * Mathematical reasoning and structured problem solving
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+ * Decision-making support systems
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+ * AI orchestration layers (brain–body architectures)
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+ * Ethical and security-aware AI behavior modulation
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+ * Creative reasoning and system-level ideation
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+
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+ ### Out-of-Scope Uses
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+
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+ * Fully autonomous agents without external control
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+ * Safety-critical real-time systems without validation layers
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+ * Applications requiring strong non-English language performance
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+
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+ ---
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+
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+ ## Architecture: BCE (Behavioral Consciousness Engine)
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+
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+ **BCE (Behavioral Consciousness Engine)** is a **patented artificial consciousness simulation technology** developed by PROMETECH.
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+ It enables:
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+
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+ * Advanced behavioral pattern generation
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+ * Introspective reasoning (without exposing chain-of-thought)
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+ * Adaptive response modulation
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+ * Constraint-aware decision making
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+ * Controlled self-awareness simulations within bounded systems
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+
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+ The **KUSBCE 0.3** architecture integrates BCE concepts directly into the model’s reasoning and output discipline, making it suitable for optimizer-driven AI pipelines.
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+
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+ ---
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+ ### WHY?
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+
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+ **Because the completion of intelligence and consciousness does not occur in a single model,
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+ but in the relationship between models. For AI, we differentiate between the nervous system, brainstem, and cortex.**
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+
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+ ---
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+
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+ ## Performance Characteristics
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+
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+ ### Strengths
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+
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+ * High-speed inference and low-latency reasoning
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+ * Strong mathematical and symbolic reasoning
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+ * High creativity under constraint
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+ * Improved ethical and security-aware behavior
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+ * Excellent compatibility with external optimization controllers (BCE / Python-based)
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+
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+ ### Limitations
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+
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+ * Reduced effectiveness (~30%) in non-English languages
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+ * Not trained for open-ended social conversation
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+ * Requires external orchestration for optimal performance
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+ * Not a guaranteed optimal mathematical solver (heuristic/learned reasoning)
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+
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+ ---
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+
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+ ## Training & Fine-Tuning
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+
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+ * **Base Training:** Qwen2.5-Math-1.5B-Instruct (original training by Qwen team)
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+ * **Fine-Tuning:**
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+
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+ * LoRA-based domain and behavior adaptation
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+ * BCE-aligned behavioral constraints
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+ * **Data Sources:**
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+
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+ * Proprietary datasets
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+ * Mathematical and reasoning-focused corpora
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+ * Behavioral optimization scenarios
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+
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+ > Exact training data details are not publicly disclosed due to proprietary BCE technology.
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+
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+ ---
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+
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+ ## Ethical Considerations & Safety
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+
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+ The Prettybird Brain Model is designed to operate under **external ethical and behavioral controllers** rather than enforcing policies autonomously.
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+
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+ * Does not assume final decision authority
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+ * Designed to be embedded in supervised systems
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+ * Encourages transparency through structured outputs
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+ * Avoids hallucination of missing data by design
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+ * Outputs are intended to be parsed, validated, and corrected externally
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+
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+ ---
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+
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+ ## License
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+
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+ **Patented & Licensed BCE Technology**
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+
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+ © 2025 **PROMETECH A.Ş.**
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+ All rights reserved.
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+
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+ Unauthorized reproduction, modification, or commercial use of BCE technology is prohibited without an explicit license agreement.
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+
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+ ---
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+
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+ ## Contact & Licensing
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+
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+ For **licensing, partnerships, or technical inquiries** regarding the Prettybird Brain Model or BCE technology:
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+
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+ 🌐 **Website:** [https://prometech.net.tr/](https://prometech.net.tr/)
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+ 🏢 **Company:** PROMETECH A.Ş.
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+ 📩 **Contact:** Please use the official contact channels listed on the website.
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+
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+ ---
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+
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+ ## Citation
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+
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+ If you use this model in academic or commercial work, please cite as:
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+
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+ ```
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+ Prettybird Brain Model (BCE), PROMETECH A.Ş., 2025.
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+ Powered by KUSBCE 0.3 Behavioral Consciousness Engine.
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+ ```