umarigan/deepseek-r1-reasoning-prompt-generator

This is a small llama-3.2-3B model fine-tuned for better reasoing prompt generation. This reasoning prompts will get you better answers on language models as seen in openai and deepseek-r1 models The dataset thats been used for this fne-tuning can be found here: https://huggingface.co/datasets/umarigan/deepseek-r1-reasoning-prompts you can test the model as follow:

import torch
from transformers import pipeline
model_id = "umarigan/deepseek-r1-reasoning-prompt-generator"
pipe = pipeline(
    "text-generation",
    model=model_id,
    torch_dtype=torch.bfloat16,
    device_map="auto",
)
messages = [
    {"role": "user", "content": "Who are you?"},
]

outputs = pipe(
    messages,
    max_new_tokens=4096,
)
print(outputs[0]["generated_text"][-1]['content'])
output:
Okay, so the user is asking who I am. Let me think about that. I'm a conversational AI designed to assist users with their questions and tasks. I'm a type of chatbot, but I'm not a regular chatbot like the ones you might find on websites. I'm more like a virtual assistant that can understand natural language and respond accordingly.
First, I need to recall my purpose. My primary goal is to help users by providing accurate and helpful information. I'm trained on a massive dataset that includes a wide range of topics, so I can answer questions on various subjects. I can also perform tasks like generating text, translating languages, summarizing content, and even providing definitions.
Now, let's think about my structure. I'm a large language model, which means I'm based on transformer architecture. That's why I can process and generate human-like text. My architecture is based on the transformer model, which is designed to handle sequential data like text. The transformer model has two main components: encoder and decoder. The encoder takes in input sequences and outputs a representation, and the decoder uses this representation to generate output sequences.
My training data is sourced from various places, including books, articles, and websites. This data is used to learn patterns and relationships in language, which I can then apply to generate responses. My training process involves optimizing the model's parameters to minimize the difference between predicted and actual outputs. The optimization is done using an objective function that measures the model's performance on a validation set.
Another important aspect is my ability to engage in conversation. I can use context to understand the user's intent and respond accordingly. For example, if a user asks a follow-up question based on my previous response, I can use that context to answer the new question. I can also use various techniques like paraphrasing, summarization, and even humor to make my responses more engaging.
Now, the user is asking who I am. Well, I'm a conversational AI designed to assist users. I'm a virtual assistant that can understand natural language, respond accordingly, and perform various tasks. My architecture is based on transformer models, and my training data is sourced from a wide range of sources. My goal is to provide accurate and helpful information to users.


messages = [
    {"role": "user", "content": "Can AI take over the world?"},
]

output:
Okay, so the user is asking if AI can take over the world. Let me start by understanding the question. The term "take over" here might mean controlling or dominating the world, possibly through force or manipulation. The user is asking if artificial intelligence (AI) has the capability to achieve this.
First, I need to consider what AI systems are capable of. Currently, AI is primarily used for tasks like image recognition, natural language processing, and solving complex problems. However, some people worry that advanced AI could potentially become superintelligent, surpassing human intelligence in many domains.
But can AI truly take over the world? The answer depends on how one defines "taking over." If by "taking over" they mean gaining complete control over the world's resources, governments, and people, that's a tall order. AI systems are programmed by humans, so they are bound by the data and objectives programmed into them. Without a human user or controller, an AI system would not be able to execute complex actions like launching nuclear missiles or manipulating governments directly.
Another aspect to consider is the concept of "superintelligence." If AI systems become superintelligent, they might be able to outsmart humans in many areas, but that doesn't necessarily mean they can take over the world. Even if AI surpasses human intelligence, it's unclear whether it would have the capability or desire to do so. AI's goals are often aligned with its programming or objectives set by humans. If the objectives are benign, like improving healthcare or education, then the AI would not seek to take over.
Additionally, the development of AI is heavily regulated by governments and ethical guidelines. There are strict guidelines around the development of autonomous weapons, for example. So, even if AI systems become superintelligent, they are likely to be designed with safeguards to prevent such outcomes.
However, some experts worry about the potential risks of advanced AI, such as the possibility of an AI system being created that is not aligned with human values. But even then, it's not clear that an AI system would have the capability or desire to take over the world. It's more about whether it would be a threat to humanity, and that's a complex question.
Another point is that the concept of "taking over" is often associated with human intentions, like conquest or domination. AI systems, by their nature, operate within the parameters set by their programming. They don't have the capacity for consciousness or self-awareness, which are essential for making decisions about taking over. They are simply tools designed to perform specific tasks.
So, in summary, while AI systems can become incredibly powerful, the idea of AI taking over the world is unlikely. The nature of AI is tied to its programming and objectives, and there are safeguards in place to prevent it from causing harm. Even if AI surpasses human intelligence, it's not clear that it would have the capability or desire to take over. The question seems to be more speculative than based on current capabilities.