HelpingAI/HAI-SER

❤️ HAI-SER

[📜 License](https://helpingai.co/license) | [🌐 Website](https://helpingai.co)

🌟 About HAI-SER

HAI-SER is HelpingAI's revolutionary Structured Emotional Reasoning (SER) model, crafted to redefine the emotional intelligence of AI. Unlike traditional models, HAI-SER goes beyond words—it understands emotions, breaks down mental states, and offers real, empathetic insights for human-AI interaction. 🚀

💡 Core Features of HAI-SER

The Structured Emotional Reasoning (SER) framework is built upon these key pillars:

• Emotional Vibe Check – Reads emotional energy from conversations 🎭
• Mind-State Analysis – Understands thoughts, moods, and mental shifts 🧠
• Root Cause Deep-Dive – Identifies why emotions arise 🔍
• Impact Check – Evaluates how emotions affect real-life actions 💥
• Safety Check – Prioritizes user well-being 🚨
• Healing Game Plan – Offers structured support for growth & recovery 💪
• Growth Potential – Helps users evolve emotionally 📈
• How to Approach – Guides users in communication & self-awareness 🤝

🚀 Implementation

Load HAI-SER with Hugging Face Transformers

from transformers import AutoModelForCausalLM, AutoTokenizer

# Load HAI-SER
model = AutoModelForCausalLM.from_pretrained("HelpingAI/HAI-SER")
tokenizer = AutoTokenizer.from_pretrained("HelpingAI/HAI-SER")

# Example usage
chat = [
    {"role": "system", "content": "You are an emotionally intelligent AI assistant who always thinks step by step before responding."},
    {"role": "user", "content": "I feel really stressed out about my exams."}
]

inputs = tokenizer.apply_chat_template(
    chat,
    add_generation_prompt=True,
    return_tensors="pt"
)

outputs = model.generate(
    inputs,
    max_new_tokens=128,
    temperature=0.7,
    top_p=0.9,
)

print(tokenizer.decode(outputs[0], skip_special_tokens=True))

⚙️ Training Details

🏋️ Training Data

• Trained on a curated dataset emphasizing emotional intelligence, human psychology, and nuanced conversation.
• Includes dialogues from mental health scenarios, coaching sessions, and empathetic responses.

📌 Capabilities

• Understands and analyzes emotions with high accuracy.
• Provides tailored emotional insights instead of generic responses.
• Capable of deep reasoning for emotional problem-solving.

⚠️ Limitations

• Still evolving – may not always capture deep emotions perfectly.
• Not a replacement for professional therapy – designed to support, not diagnose.
• Best used with human moderation in sensitive situations.

📚 Citation

@misc{haiser2025,
  author = {HelpingAI Team},
  title = {HAI-SER: Structured Emotional Reasoning for Empathetic AI},
  year = {2025},
  publisher = {HelpingAI},
  journal = {HuggingFace},
  howpublished = {\url{https://huggingface.co/HelpingAI/HAI-SER}}
}

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Created with ❤️ by HelpingAI

🌐 Website • 📜 License • 🤗 HuggingFace • 💬 Discord