| | --- |
| | license: other |
| | license_name: helpingai |
| | license_link: https://helpingai.co/license |
| | pipeline_tag: text-generation |
| | language: |
| | - en |
| | tags: |
| | - HelpingAI |
| | - Emotionally-Intelligent |
| | - EQ-focused |
| | - Conversational |
| | - SLM |
| | library_name: transformers |
| | --- |
| | |
| | # HelpingAI3 |
| |
|
| | ## Model Description |
| |
|
| | **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. |
| |
|
| | ## Model Details |
| |
|
| | - **Developed by**: HelpingAI |
| | - **Model type**: Decoder-only large language model |
| | - **Language**: English |
| | - **License**: [HelpingAI License](https://helpingai.co/license) |
| |
|
| | ## Training Data |
| |
|
| | HelpingAI3 was trained on a diverse dataset comprising: |
| |
|
| | - **Emotional Dialogues**: 15 million rows to enhance conversational intelligence. |
| | - **Therapeutic Exchanges**: 3 million rows aimed at providing advanced emotional support. |
| | - **Cultural Conversations**: 250,000 rows to improve global awareness. |
| | - **Crisis Response Scenarios**: 1 million rows to better handle emergency situations. |
| |
|
| | ## Training Procedure |
| |
|
| | The model underwent the following training processes: |
| |
|
| | - **Base Model**: Initiated from HelpingAI2.5. |
| | - **Emotional Intelligence Training**: Employed Reinforcement Learning for Emotion Understanding (RLEU) and context-aware conversational fine-tuning. |
| | - **Optimization**: Utilized mixed-precision training and advanced token efficiency techniques. |
| |
|
| | ## Intended Use |
| |
|
| | HelpingAI3 is designed for: |
| |
|
| | - **AI Companionship & Emotional Support**: Offering empathetic interactions. |
| | - **Therapy & Wellbeing Guidance**: Assisting in mental health support. |
| | - **Personalized Learning**: Tailoring educational content to individual needs. |
| | - **Professional AI Assistance**: Enhancing productivity in professional settings. |
| |
|
| | ## Limitations |
| |
|
| | While HelpingAI3 strives for high emotional intelligence, users should be aware of potential limitations: |
| |
|
| | - **Biases**: The model may inadvertently reflect biases present in the training data. |
| | - **Understanding Complex Emotions**: There might be challenges in accurately interpreting nuanced human emotions. |
| | - **Not a Substitute for Professional Help**: For serious emotional or psychological issues, consulting a qualified professional is recommended. |
| |
|
| | ## How to Use |
| |
|
| | ### Using Transformers |
| |
|
| | ```python |
| | import torch |
| | from transformers import AutoModelForCausalLM, AutoTokenizer |
| | |
| | # Load the HelpingAI3 model |
| | model = AutoModelForCausalLM.from_pretrained("HelpingAI/HAI3-RAW") |
| | # Load the tokenizer |
| | tokenizer = AutoTokenizer.from_pretrained("HelpingAI/HAI3-RAW") |
| | |
| | # Define the chat input |
| | chat = [ |
| | {"role": "system", "content": "You are HelpingAI, an emotional AI. Always answer my questions in the HelpingAI style."}, |
| | {"role": "user", "content": "Introduce yourself."} |
| | ] |
| | |
| | inputs = tokenizer.apply_chat_template( |
| | chat, |
| | add_generation_prompt=True, |
| | return_tensors="pt" |
| | ).to(model.device) |
| | |
| | # Generate text |
| | outputs = model.generate( |
| | inputs, |
| | max_new_tokens=256, |
| | do_sample=True, |
| | temperature=0.6, |
| | top_p=0.9, |
| | ) |
| | |
| | response = outputs[0][inputs.shape[-1]:] |
| | print(tokenizer.decode(response, skip_special_tokens=True)) |
| | ``` |
| |
|
