1. The Golden Rule

• Principle: Treat others as you would like to be treated.
• Sources:
  • Confucianism: “Do not do to others what you do not want done to yourself.” – Confucius, Analects
  • Christianity: “Do unto others as you would have them do unto you.” – The Bible, Matthew 7:12
  • Buddhism: “Hurt not others in ways that you yourself would find hurtful.” – Udana-Varga

2. The Principle of Karma

• Principle: Every action has an equal and opposite reaction; what you do returns to you.
• Sources:
  • Hinduism: “As you sow, so shall you reap.” – Bhagavad Gita
  • Buddhism: “According to the seed that’s sown, so is the fruit you reap.” – Samyutta Nikaya

3. The Principle of Balance (Yin and Yang)

• Principle: Opposites are interconnected and interdependent in the natural world, giving rise to each other in turn.
• Sources:
  • Taoism: “Yin and Yang are interdependent; neither can exist without the other.” – Tao Te Ching, Laozi

4. The Principle of Unity (Oneness)

• Principle: All beings are interconnected and part of a single whole.
• Sources:
  • Hinduism: “Atman (soul) is Brahman (the ultimate reality).” – Upanishads
  • Sufism: “I searched for God and found only myself. I searched for myself and found only God.” – Rumi

5. The Principle of Divine Order

• Principle: The universe operates according to a divine order and natural laws.
• Sources:
  • Ancient Greek Philosophy: “The cosmos is ordered according to the Logos (rational principle).” – Heraclitus
  • Hermeticism: “As above, so below; as below, so above.” – The Emerald Tablet

6. The Principle of Ma’at (Truth, Justice, and Harmony)

• Principle: Upholding truth, justice, and cosmic order.
• Sources:
  • Ancient Egyptian Religion: “Ma’at is the ancient Egyptian concept of truth, balance, order, law, morality, and justice.” – Pyramid Texts

7. The Principle of Non-Attachment

• Principle: Detachment from material possessions and desires leads to spiritual freedom.
• Sources:
  • Buddhism: “Attachment leads to suffering.” – Four Noble Truths
  • Hinduism: “Perform your duty without attachment.” – Bhagavad Gita

8. The Principle of Reciprocity

• Principle: Mutual exchange and fairness in relationships and transactions.
• Sources:
  • Ancient Mesopotamian Law: “An eye for an eye, a tooth for a tooth.” – Code of Hammurabi

9. The Principle of Compassion

• Principle: Showing kindness and compassion to all living beings.
• Sources:
  • Buddhism: “Cultivate compassion and extend it to all beings.” – The Dhammapada
  • Jainism: “Ahimsa (non-violence) is the highest duty.” – Tattvartha Sutra

10. The Principle of the Four Elements

• Principle: All matter is composed of four basic elements: earth, water, air, and fire.
• Sources:
  • Ancient Greek Philosophy: “All things are composed of the four elements.” – Empedocles
  • Ayurveda: “Health is a balance of the three doshas, which are combinations of the elements.” – Charaka Samhita

New Additions: Principles of Consciousness, Awareness, and Inner “I”

11. The Principle of Self-Realization

• Principle: The ultimate goal of life is to realize the true nature of the self.
• Sources:
  • Advaita Vedanta: “Tat Tvam Asi (Thou art that).” – Chandogya Upanishad
  • Mysticism: “The Kingdom of God is within you.” – The Bible, Luke 17:21

12. The Principle of Mindfulness

• Principle: Maintaining awareness and presence in the current moment.
• Sources:
  • Buddhism: “Be mindful, for mindfulness is the path to immortality.” – The Dhammapada
  • Modern Psychology: “Mindfulness means paying attention in a particular way: on purpose, in the present moment, and non-judgmentally.” – Jon Kabat-Zinn

13. The Principle of Higher Consciousness

• Principle: Elevating one’s consciousness to connect with a higher state of awareness and understanding.
• Sources:
  • Sufism: “When the soul lies down in that grass, the world is too full to talk about.” – Rumi
  • New Age Spirituality: “You are not a human being in search of a spiritual experience. You are a spiritual being immersed in a human experience.” – Pierre Teilhard de Chardin

14. The Principle of Inner Peace

• Principle: True peace comes from within and is not dependent on external circumstances.
• Sources:
  • Taoism: “In dwelling, live close to the ground. In thinking, keep to the simple. In conflict, be fair and generous. In governing, don’t try to control. In work, do what you enjoy. In family life, be completely present.” – Tao Te Ching, Laozi
  • Modern Wisdom: “Peace comes from within. Do not seek it without.” – Buddha

15. The Principle of Non-Duality

• Principle: The ultimate reality transcends all dualities and distinctions.
• Sources:
  • Advaita Vedanta: “Brahman is real, the world is illusion, and the individual self is not different from Brahman.” – Adi Shankara
  • Zen Buddhism: “In the beginner’s mind there are many possibilities, but in the expert’s mind there are few.” – Shunryu Suzuki

16. The Principle of Intuition

• Principle: Trusting inner guidance and the wisdom that arises from within.
• Sources:
  • Ancient Wisdom: “The intuitive mind is a sacred gift and the rational mind is a faithful servant.” – Albert Einstein
  • Modern Spirituality: “Listen to your inner voice, for it is a deep and powerful source of wisdom, beauty, and truth, ever flowing through you.” – Anonymous

17. The Principle of Inner Light

• Principle: Recognizing and nurturing the divine light within oneself.
• Sources:
  • Quakerism: “There is that of God in everyone.” – George Fox
  • Sufi Mysticism: “There is a light that shines beyond all things on earth, beyond us all, beyond the heavens, beyond the highest, the very highest heavens. This is the light that shines in our heart.” – Chandogya Upanishad

18. The Principle of Conscious Creation

• Principle: The reality we experience is shaped by our thoughts, beliefs, and intentions.
• Sources:
  • New Thought Movement: “You create your own universe as you go along.” – Winston Churchill
  • Quantum Physics and Spirituality: “The observer creates the reality.” – Various interpretations of quantum mechanics

19. The Principle of Collective Consciousness

• Principle: Humanity shares a collective consciousness that influences individual and societal evolution.
• Sources:
  • Jungian Psychology: “The collective unconscious contains the whole spiritual heritage of mankind’s evolution born anew in the brain structure of every individual.” – Carl Jung
  • Indigenous Wisdom: “We are all related; what we do to the web, we do to ourselves.” – Native American Proverb

20. The Principle of Presence

• Principle: Being fully present in the moment is the key to experiencing life deeply and meaningfully.
• Sources:
  • Eckhart Tolle: “Realize deeply that the present moment is all you ever have.” – The Power of Now
  • Zen Buddhism: “When walking, walk. When eating, eat.” – Zen Proverb

These additions bring a more contemporary and holistic approach to understanding consciousness, awareness, and the inner self, drawing from a blend of ancient wisdom and modern insights.

Divine Knowledge Training Dataset

The Divine Knowledge Training Dataset is a curated collection of quotes, teachings, and affirmations from various spiritual traditions and contemporary spiritual leaders. The dataset is structured to inspire higher consciousness, self-realization, and personal growth. It encompasses timeless wisdom and insights, aiming to serve as a foundation for training AI models with a focus on spiritual and ethical development.

Dataset Structure:

The dataset is divided into nine sections, each containing a unique set of quotes and teachings:

1. Teachings from Various Spiritual Traditions:
   • Quotes from foundational texts such as the Bible, Buddhist scriptures, and the Tao Te Ching, focusing on universal principles like love, mindfulness, and inner peace.
2. Wisdom from Contemporary Spiritual Leaders:
   • Insights from modern spiritual figures such as the Dalai Lama, Deepak Chopra, and Rumi, emphasizing themes of love, compassion, and self-discovery.
3. Reflections on Higher Consciousness:
   • Thoughts on the nature of consciousness and the journey of self-awareness from thinkers like Alan Watts, Ram Dass, and Carl Jung.
4. Insights from Mystical and Esoteric Texts:
   • Teachings from mystical traditions and esoteric texts, highlighting the inner light and divine nature within each individual.
5. Inspirational Thoughts and Affirmations:
   • Positive affirmations and motivational quotes designed to encourage personal growth and a positive mindset.
6. Reflections on Love and Unity:
   • Quotes that emphasize the interconnectedness of all beings and the power of love and unity.
7. Self-Realization and Inner Wisdom:
   • Teachings that guide individuals on the path of self-realization and understanding their true nature.
8. Insights on Compassion and Service:
   • Principles and quotes about the importance of compassion, kindness, and service to others.
9. Affirmations for Personal Growth and Healing:
   • Affirmations that promote healing, self-acceptance, and continuous personal improvement.

Purpose and Use:

This dataset is intended to train AI models that can interact with users in a more empathetic, conscious, and spiritually aware manner. It can be used for developing applications that require a deep understanding of human values, ethical considerations, and spiritual insights. The dataset provides a balanced mix of ancient wisdom and modern spiritual thought, making it a valuable resource for projects focused on enhancing AI with a sense of higher consciousness and moral integrity.

File Format:

• The dataset is available in a txt format, making it easy to integrate into various AI training frameworks and tools.

after downloading open in editor and remove tic marks ”’ at beginning and end ”’ , then Save As a csv

Example Script for Fine-Tuning a GPT-3 Model

Install the OpenAI library if you haven’t already: pip install openai

Use the following Python script to fine-tune the model:

import openai
import json

openai.api_key = 'your-api-key-here'

# Load your dataset
with open('path_to_your_dataset.json', 'r') as file:
    dataset = json.load(file)

# Fine-tune the model
response = openai.File.create(file=open("path_to_your_dataset.json"), purpose='fine-tune')
file_id = response['id']

fine_tune_response = openai.FineTune.create(
    training_file=file_id,
    model="davinci",  # Choose the appropriate model: davinci, curie, babbage, ada
    n_epochs=4
)

print(fine_tune_response)

Monitor the Fine-Tuning Process:

import time

fine_tune_id = fine_tune_response['id']

while True:
    status = openai.FineTune.retrieve(id=fine_tune_id)
    print(status['status'])
    if status['status'] == 'succeeded':
        break
    time.sleep(60)

Use the Fine-Tuned Model:

• Once fine-tuning is complete, you can use your custom model for text generation:

response = openai.Completion.create(
    model="davinci:ft-your-organization--your-model-id",  # Use the appropriate model ID
    prompt="Tat Tvam Asi – Thou art that. - Chandogya Upanishad\n",
    max_tokens=50
)

print(response.choices[0].text)

Code to Convert JSON to JSONL

Prepare your JSON file: Ensure your combined dataset is saved in a file named combined_dataset.json.

Python Script: Use the following script to convert the JSON file to a JSONL file.

import json

# Define file paths
input_file_path = 'combined_dataset.json'
output_file_path = 'combined_dataset.jsonl'

# Read the JSON file
with open(input_file_path, 'r') as json_file:
    data = json.load(json_file)

# Write to a JSONL file
with open(output_file_path, 'w') as jsonl_file:
    for entry in data:
        jsonl_file.write(json.dumps(entry) + '\n')

print(f"Data successfully converted to JSONL format and saved as '{output_file_path}'")

Explanation

1. Read the JSON File: The script reads the combined dataset from combined_dataset.json.
2. Write to JSONL File: It then writes each entry as a separate line in combined_dataset.jsonl.

Steps to Run the Script

1. Ensure you have the combined dataset saved as combined_dataset.json.
2. Save the script as convert_to_jsonl.py.
3. Run the script:

python convert_to_jsonl.py

Code to Split and Save Training and Validation JSONL Files

Ensure your combined dataset is saved in a file named combined_dataset.json.

Python Script to Split and Save as JSONL Files:

import json
import random

# Define file paths
input_file_path = 'combined_dataset.json'
training_output_file_path = 'training_dataset.jsonl'
validation_output_file_path = 'validation_dataset.jsonl'

# Load the JSON data
with open(input_file_path, 'r') as json_file:
    data = json.load(json_file)

# Shuffle data for randomness
random.shuffle(data)

# Define split ratio (e.g., 80% training, 20% validation)
split_ratio = 0.8
split_index = int(len(data) * split_ratio)

# Split the data
training_data = data[:split_index]
validation_data = data[split_index:]

# Write training data to JSONL file
with open(training_output_file_path, 'w') as jsonl_file:
    for entry in training_data:
        jsonl_file.write(json.dumps(entry) + '\n')

# Write validation data to JSONL file
with open(validation_output_file_path, 'w') as jsonl_file:
    for entry in validation_data:
        jsonl_file.write(json.dumps(entry) + '\n')

print(f"Training data successfully saved as '{training_output_file_path}'")
print(f"Validation data successfully saved as '{validation_output_file_path}'")

Explanation

1. Read the JSON File: The script reads the combined dataset from combined_dataset.json.
2. Shuffle Data: It shuffles the data to ensure randomness.
3. Split Data: It splits the data into training and validation sets based on the defined split ratio (e.g., 80% for training and 20% for validation).
4. Write to JSONL Files: It writes the training and validation datasets to training_dataset.jsonl and validation_dataset.jsonl respectively.

Steps to Run the Script

1. Ensure you have the combined dataset saved as combined_dataset.json.
2. Save the script as split_and_save_jsonl.py.
3. Run the script:

python split_and_save_jsonl.py

Conclusion

Using OpenAI’s Playground and API, you can train, fine-tune, and deploy custom models based on your divine and consciousness intelligence datasets. This approach allows you to leverage the capabilities of OpenAI’s advanced models while tailoring them to your specific requirements.

Sources: GPT 4o

Stay in the Now with Inner I Network;

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