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--- |
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license: other |
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license_name: helpingai |
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license_link: https://helpingai.co/license |
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pipeline_tag: text-generation |
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language: |
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- en |
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tags: |
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- HelpingAI |
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- Emotionally-Intelligent |
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- EQ-focused |
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- Conversational |
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- SLM |
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library_name: transformers |
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--- |
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# HelpingAI3 |
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## Model Description |
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**HelpingAI3** is an advanced language model developed to excel in emotionally intelligent conversations. Building upon the foundations of HelpingAI2.5, this model offers enhanced emotional understanding and contextual awareness. |
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## Model Details |
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- **Developed by**: HelpingAI |
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- **Model type**: Decoder-only large language model |
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- **Language**: English |
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- **License**: [HelpingAI License](https://helpingai.co/license) |
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## Training Data |
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HelpingAI3 was trained on a diverse dataset comprising: |
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- **Emotional Dialogues**: 15 million rows to enhance conversational intelligence. |
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- **Therapeutic Exchanges**: 3 million rows aimed at providing advanced emotional support. |
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- **Cultural Conversations**: 250,000 rows to improve global awareness. |
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- **Crisis Response Scenarios**: 1 million rows to better handle emergency situations. |
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## Training Procedure |
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The model underwent the following training processes: |
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- **Base Model**: Initiated from HelpingAI2.5. |
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- **Emotional Intelligence Training**: Employed Reinforcement Learning for Emotion Understanding (RLEU) and context-aware conversational fine-tuning. |
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- **Optimization**: Utilized mixed-precision training and advanced token efficiency techniques. |
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## Intended Use |
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HelpingAI3 is designed for: |
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- **AI Companionship & Emotional Support**: Offering empathetic interactions. |
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- **Therapy & Wellbeing Guidance**: Assisting in mental health support. |
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- **Personalized Learning**: Tailoring educational content to individual needs. |
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- **Professional AI Assistance**: Enhancing productivity in professional settings. |
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## Limitations |
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While HelpingAI3 strives for high emotional intelligence, users should be aware of potential limitations: |
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- **Biases**: The model may inadvertently reflect biases present in the training data. |
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- **Understanding Complex Emotions**: There might be challenges in accurately interpreting nuanced human emotions. |
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- **Not a Substitute for Professional Help**: For serious emotional or psychological issues, consulting a qualified professional is recommended. |
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## How to Use |
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### Using Transformers |
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```python |
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import torch |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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# Load the HelpingAI3 model |
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model = AutoModelForCausalLM.from_pretrained("HelpingAI/HelpingAI-3") |
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# Load the tokenizer |
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tokenizer = AutoTokenizer.from_pretrained("HelpingAI/HelpingAI-3") |
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# Define the chat input |
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chat = [ |
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{"role": "system", "content": "You are HelpingAI, an emotional AI. Always answer my questions in the HelpingAI style."}, |
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{"role": "user", "content": "Introduce yourself."} |
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] |
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inputs = tokenizer.apply_chat_template( |
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chat, |
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add_generation_prompt=True, |
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return_tensors="pt" |
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).to(model.device) |
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# Generate text |
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outputs = model.generate( |
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inputs, |
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max_new_tokens=256, |
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do_sample=True, |
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temperature=0.6, |
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top_p=0.9, |
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) |
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response = outputs[0][inputs.shape[-1]:] |
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print(tokenizer.decode(response, skip_special_tokens=True)) |
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``` |
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