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README.md
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@@ -25,13 +25,16 @@ talktoaiQ aka SkynetZero is a quantum-interdimensional-math-powered language mod
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[](https://www.youtube.com/watch?v=jYLVGUESoOY)
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Click on the image above to watch the video on YouTube.
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**Key Highlights of talktoaiQ:**
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- Advanced Quantum Reasoning: Integration of quantum-inspired math systems enables talktoaiQ to tackle complex ethical dilemmas and multi-dimensional problem-solving tasks.
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- Custom Re-Written Datasets: The training involved multiple rounds of AI-assisted dataset curation, where reflection datasets were re-written for clarity, accuracy, and consistency. Additionally, TalkToAI datasets were integrated and re-processed to align with talktoaiQ’s quantum reasoning framework.
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- Iterative Improvement: During testing and model conversion, the datasets were re-written and validated several times to address errors. Each iteration enhanced the model’s ethical consistency and problem-solving accuracy.
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- Fine-Tuned on LLaMA 3.1 8B: The model was fine-tuned on the LLaMA 3.1 8B architecture, integrating multiple specialized datasets to ensure high-quality text generation capabilities.
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**Model Overview**
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- Developed by: Shafaet Brady Hussain - researchforum.online
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- Funded by: Researchforum.online
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- Shared by: TalkToAI - https://talktoai.org
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**Usage:**
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**Tested on CPU - optimised to work on laptops and PC's at home and oogaboogawebtextgen desktop servers and ad_discordbot extension.**
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You can use the following code snippet to load and interact with talktoaiQ:
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[](https://www.youtube.com/watch?v=jYLVGUESoOY)
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Click on the image above to watch the video on YouTube.
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+
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**Key Highlights of talktoaiQ:**
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+
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- Advanced Quantum Reasoning: Integration of quantum-inspired math systems enables talktoaiQ to tackle complex ethical dilemmas and multi-dimensional problem-solving tasks.
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| 32 |
- Custom Re-Written Datasets: The training involved multiple rounds of AI-assisted dataset curation, where reflection datasets were re-written for clarity, accuracy, and consistency. Additionally, TalkToAI datasets were integrated and re-processed to align with talktoaiQ’s quantum reasoning framework.
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- Iterative Improvement: During testing and model conversion, the datasets were re-written and validated several times to address errors. Each iteration enhanced the model’s ethical consistency and problem-solving accuracy.
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| 34 |
- Fine-Tuned on LLaMA 3.1 8B: The model was fine-tuned on the LLaMA 3.1 8B architecture, integrating multiple specialized datasets to ensure high-quality text generation capabilities.
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**Model Overview**
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- Developed by: Shafaet Brady Hussain - researchforum.online
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- Funded by: Researchforum.online
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- Shared by: TalkToAI - https://talktoai.org
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**Usage:**
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**Tested on CPU - optimised to work on laptops and PC's at home and oogaboogawebtextgen desktop servers and ad_discordbot extension.**
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+
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You can use the following code snippet to load and interact with talktoaiQ:
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