![\"Deepseek\"](\"https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/02\/Screenshot-2025-02-12-at-14.07.17-1024x572.jpg\")
<\/picture><\/figure>\n\n\n\nWhat caught everyone\u2019s attention was how DeepSeek managed to develop their AI technology at a fraction of typical cost.<\/p>\n\n\n\n
They used Nvidia H800 chips, and gained the level of efficiency also which raised eyebrows in Western countries and governments.<\/a><\/p>\n\n\n\n Everyone is amazed how this new company made AI, which is open source, and is able to do so much more with less. <\/strong><\/p>\n\n\n\n Today, we\u2019ll weigh all this excitement, explore what DeepSeek is, how to use DeepSeek AI for your tasks, and it is even the right tool for you. <\/p>\n\n\n\n Let\u2019s go!<\/p>\n\n\n\n DeepSeek is a Chinese AI company<\/strong> that was founded in May 2023 in Hangzhou by Liang Wenfeng<\/a>.<\/p>\n\n\n\n Liang Wenfeng is also the co-founder of one of China\u2019s top-hedge funds.<\/p>\n\n\n\n DeepSeek emerged with the clear vision: To make AI powerful, accessible, and affordable for everyone. <\/p>\n\n\n\n As of February 2025, DeepSeek has rolled out seven AI models. Here\u2019s a quick look at them.<\/p>\n\n\n\n All the models are open-source.<\/em><\/strong><\/p>\n\n\n\n This means anyone from anywhere can use them for free.<\/p>\n\n\n\n For Example:<\/em><\/strong> <\/em><\/p>\n\n\n\n Suppose you\u2019re a part of a fintech startup and your company wants to shift to AI for analyzing earnings reports and explaining financial jargon in plain English.<\/em><\/p>\n\n\n\n Fix: <\/em><\/strong><\/p>\n\n\n\n With <\/em>DeepSeek,<\/em> you\u2019ve their model publicly available which you can use as a base, retrain it on internal SEC filings and investor calls, and deploy it privately. <\/em><\/p>\n\n\n\n The total cost would be a fraction of GPT-4\u2019s API fees.<\/p>\n\n\n\n This is quite a big deal because current favorites like ChatGPT-4, Gemini 1.5 Pro, and Claude 3<\/strong> don\u2019t offer their models this way.<\/p>\n\n\n\n Guess they\u2019ve some commitment issues with going open-source?<\/p>\n\n\n\n DeepSeek works just like us. Yes, it works like humans. <\/p>\n\n\n\n Let me explain.<\/p>\n\n\n\n Think about how you learned to cook a new recipe.<\/p>\n\n\n\n The first time, you follow the instructions step-by-step to get everything right. <\/p>\n\n\n\n The dish turned out perfect (or not).<\/p>\n\n\n\n Either way, you try to adjust the things next time – more seasonings, cook it a bit longer, or change the timing. <\/p>\n\n\n\n Each time you make a dish, you learn from your mistakes and get better at it.<\/p>\n\n\n\n This process of trial, error, and adjustment is how humans learn and improve their skills.<\/p>\n\n\n\n According to the research paper<\/a> published by DeepSeek, this is the exact model R-1 model uses, and it is called \u201cReinforcement learning\u201d<\/strong><\/p>\n\n\n\n In reinforcement learning, you learn by constant experiments, re-evaluation, and refining, instead of memorizing all the patterns.<\/p>\n\n\n\n It doesn\u2019t just give you an answer right away – it thinks through the solution, reconsiders it, and then answers you.<\/p>\n\n\n\n Over time, it gets better at just how you perfected that recipe.<\/p>\n\n\n\n DeepSeek-coder was where it all began.<\/p>\n\n\n\n It was the company\u2019s first AI model launched in 2023<\/strong> and was trained on 2 trillion tokens across 80 programming languages.<\/p>\n\n\n\n Even its smaller 7B version performs as much larger models as CodeLIama-34B.<\/p>\n\n\n\n And when you look at its biggest 33B version, it outperforms GPT-3.5<\/a> on several coding tests.<\/p>\n\n\n\n DeepSeek LLM was the company\u2019s first general-purpose large language model.<\/p>\n\n\n\n With 67 billion parameters, it\u2019s trained on a massive 2 trillion tokens in both English & Chinese.<\/p>\n\n\n\n What\u2019s impressive is that it matches GPT-4\u2019s performance in many areas<\/a> and crushes it at coding (scoring 73.78% on HumanEval) and math (scoring 84.1 on GSM8K). <\/p>\n\n\n\n Plus, it handles the Chinese language better than ChatGPT 3.5.<\/p>\n\n\n\n DeepSeek-Math was built on their coding model but has been specifically trained to handle complex mathematical problems. <\/p>\n\n\n\n Here\u2019s the interesting part\u2026<\/p>\n\n\n\n Suppose a student not only memorizes math formulas but wants to understand how to solve problems step-by-step.<\/p>\n\n\n\n DeepSeek’s \u201cthinking\u201d part helps the student because it showcases its thinking process which is a first-of-a-kind ability in any AI model.<\/p>\n\n\n\n It scores so impressively on competition-level math problems, putting it nearly neck-and-neck with heavyweight AI models like GPT-4 and Google’s Gemini Ultra.<\/strong><\/p>\n\n\n\n The model\u2019s strength comes from two main factors:<\/p>\n\n\n\n When it gets multiple chances to solve a problem (kind of like double-checking your work), its accuracy jumps up to 60.9%.<\/p>\n\n\n\n And that makes it one of the best in the field.<\/a><\/p>\n\n\n If you want to compare that kind of step-by-step reasoning with another dedicated math assistant, you can also try Undetectable AI\u2019s Math Solver<\/a>, which walks through equations in clear stages so you can see exactly how each solution is built.<\/p>\n\n\n\n DeepSeek-VL is a Vision-Language model designed to understand and process both visual and language-based data<\/p>\n\n\n\n It’s designed to handle real-world stuff you deal with every day:<\/p>\n\n\n\n This feature comes in two sizes (1.3B and 7B), and both versions are completely open-source for the general public.<\/p>\n\n\n\n DeepSeek uses Mixture-of-Experts (MoE) architecture. <\/strong><\/p>\n\n\n\n Let\u2019s understand this with the help of an example. <\/p>\n\n\n\n When you go to the hospital, you don’t just see one doctor who knows everything about medicine, right?<\/p>\n\n\n\n Instead, you get referred to specialists \u2013 a heart specialist for heart problems, an eye doctor for vision issues, and so on.<\/p>\n\n\n\n DeepSeek also works the same way!<\/p>\n\n\n\n Instead of one massive AI brain, it has different “expert” <\/strong>components, and each specializes in specific tasks. <\/p>\n\n\n\n For example,<\/strong><\/p>\n\n\n\n You ask the AI<\/strong>: “I\u2019m getting an error when trying to run my Python script. Can you help me?”<\/p>\n\n\n\n MoE AI\u2019s “Syntax Expert”<\/strong>: “The issue is with the indentation of line 12. It should be indented under the for loop.”<\/p>\n\n\n\n MoE AI\u2019s “Data Structure Expert”<\/strong>: “I see that you are using a list where a dictionary would be more efficient. I recommend switching the list to a dictionary to improve performance.”<\/p>\n\n\n\n MoE AI\u2019s “Algorithm Expert”<\/strong>: “You\u2019re using a bubble sort algorithm here. For better performance, I suggest switching to merge sort, which is much faster for large datasets.”<\/p>\n\n\n\n Final AI Response<\/strong>: “To fix your error, you need to fix the indentation on line 12, replace the list with a dictionary for better performance, and switch to the merge sort algorithm for faster execution.”<\/p>\n\n\n\n Behind the scenes, there\u2019s a “gateway”<\/strong> process going on \u2013 it is like the hospital’s front desk that knows exactly which specialist you need to see.<\/p>\n\n\n\n This architecture is one of the reasons DeepSeek is considered efficient while using fewer resources than its competitors.<\/p>\n\n\n\n Now that we have a clear understanding of how DeepSeek AI works.. <\/p>\n\n\n\n Let\u2019s find out the ways by which we can integrate DeepSeek AI with different tools to enhance its output. <\/p>\n\n\n\n Step # 1 – Research and Job Targeting<\/strong><\/p>\n\n\n\n Prompts For Job<\/p>\n\n\n\n Step # 2 – Resume Optimization<\/strong><\/p>\n\n\n\n Prompts For Resume <\/p>\n\n\n\n Step # 3 – Cover Letter Personalization<\/strong><\/p>\n\n\n\n Prompts For Cover Letter Personalization<\/p>\n\n\n\n Step # 4 – Skills Gap Analysis<\/strong><\/p>\n\n\n\n DeepSeek Prompts for Skills Gap Analysis<\/a><\/p>\n\n\n\n Step # 5 – AI Powered Interview Preparation<\/strong><\/p>\n\n\n\n DeepSeek Prompts for AI Powered Interview Preparation<\/p>\n\n\n\n Now that we understand how DeepSeek AI<\/strong> enhances productivity, let\u2019s explore how we can integrate it with Undetectable AI<\/strong> to take content creation to the next level.<\/p>\n\n\n\n Step #1 \u2013 AI-Powered Blog Writing<\/strong><\/p>\n\n\n\n Generate a structured draft using DeepSeek AI, then refine it for authenticity and engagement with Undetectable AI.<\/p>\n\n\n\n Prompts for Blog Writing<\/strong><\/p>\n\n\n\n Step #2 \u2013 SEO Optimization & Humanization<\/strong><\/p>\n\n\n\n Ensure your blog ranks well by using DeepSeek AI for keyword research and Undetectable AI to make it sound more human<\/a> and compelling.<\/p>\n\n\n\n Prompts for SEO & Humanization<\/strong><\/p>\n\n\n\n Step #3 \u2013 Social Media Content Creation<\/strong><\/p>\n\n\n\n Create engaging posts by leveraging DeepSeek AI for content ideas and the AI SEO Writer<\/a> for actually writing it.<\/p>\n\n\n\n Prompts for Social Media Posts<\/strong><\/p>\n\n\n\nWhat is DeepSeek?<\/strong><\/h2>\n\n\n\n
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How Does It Work?<\/strong><\/h2>\n\n\n
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<\/picture><\/figure><\/div>\n\n\nDeepSeek Features<\/strong><\/h2>\n\n\n\n
1) DeepSeek-Coder<\/strong><\/h3>\n\n\n\n
2) DeepSeek-LLM<\/strong><\/h3>\n\n\n\n
3) DeepSeek-Math<\/strong><\/h3>\n\n\n\n
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![\"Undetectable](\"https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/10\/Undetectable-AI-Math-Solver-1024x301.jpg\")
<\/picture><\/figure><\/div>\n\n\n4) DeepSeek-VL (Vision-Language)<\/strong><\/h3>\n\n\n\n
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5) Mixture-of-Experts Architecture<\/strong><\/h3>\n\n\n\n
Integrating AI Tools For Enhanced Output<\/strong><\/h2>\n\n\n\n
Cover Letter Personalization <\/strong><\/h3>\n\n\n\n
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Seamless Content Creation<\/strong><\/h3>\n\n\n\n
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