Accessing and Using DeepSeek AI: From the DeepSeek R1 vs V3 Difference to the Chinese vs US AI Showdown

AI technology is evolving at a rapid pace, DeepSeek AIDid you know that 'Search' goes beyond simple search to understand context, 'DeepSeek R1' delivers expert-level data analysis, and 'V3' is beginner-friendly?

In this post, we'll use the Deepseek AIall about Deepseek AI. We've got real-world testimonials, tips, and even a look at Deepseek AI's role in the AI showdown between China and the U.S., so don't miss it!

1. What is DeepSeek AI?

DeepSeek AI(using DeepSeek interchangeably) is more than just a search engine, AI platforms that understand contextIt goes beyond the limitations of traditional keyword-based search to deliver results based on the exact intent of the user.

Chinese startup DeepSeek has garnered attention for its cost-effective generative AI model. DeepSeek's AI model R1 outperformed OpenAI in U.S. math and coding tests, and it cost about KRW 8 billion to develop, less than one-tenth the cost of Meta's AI development.

DeepSeek has garnered industry attention for leveraging Nvidia's low-end H800 chips to develop high-performance AI, and for doing so at a fraction of the cost of big tech.

Why Deepseek AI?

• Differentiated technologyTakes natural language processing (NLP) to the extreme to answer the question "Why?"
  → Example: "What are the strengths of Chinese AI?" Search goes beyond keyword matching to analyze historical context, technology examples, and future outlooks
• Integration platforms: Search (DeepSeek V3) + Deep Analytics (DeepSeek R1) in one step!
• Apply globallyMultilingual support: English, Chinese, Korean, etc.

Key features comparison table

2. How to Access DeepSeek AI: A Complete Guide for PC/Mobile

How to connect, step by step

1. Visit the official site: www.deepseek.com
2. Sign upEmail or social media integration (Google, GitHub supported)
3. Enter the prompt screen: Connected in V3 mode by default, mode can be changed by pressing the DeepSeek (R1) button below the chat window

Mobile-specific features

• Notification settings: Push notifications when analytics are complete
• Voice search: "Tell me what's happening in the Chinese AI market today"when you say Auto Search
• Offline mode: Analyze pre-saved data

3. DeepSeek R1 vs V3: Which One to Choose?

When to choose DeepSeek R1

• Analyzing large amounts of data: Process CSV files with 100,000+ rows
• Customizing: Integrate Python code
• Generate specialized reports: Automatic chart generation + Insights summaries (we don't currently have the ability to create charts)

When to choose DeepSeek V3

• Easy search: Generate blog post ideas, analyze social media trends
• Personal Assistant features: "Prepare materials for next week's meeting" → Automatically collect related materials
• Real-time collaboration: Share results with team members

User reviews

• "I did a data analysis that took 3 hours with R1 in 20 minutes!" - Data Analyst Kim
• "V3's personalized recommendations have made it easy for us to plan our marketing strategy." - Lee**, Startup Owner

4. The hidden power of Search: Here's how to use it!

Three stages of search evolution

1. 1st generation: Keyword Matching (Google)
2. 2nd Generation: Semantic-based search (ChatGPT)
3. 3rd Generation: Deepseek Search → Context + sentiment analysis

Real-world examples

• Academic research: "How China's AI Policy Changes in 2023 Will Impact the U.S. Market" Search → Extract relevant articles + government reports
• Business: "AI Marketing Strategies for Targeting Gen Z" → Provide the latest trends + success stories
• Routine: "Recommended AI articles to read over the weekend" → Interest-based curation

How to improve search result relevance

• Utilizing quotation marks: "China AI Regulation" → Search for an exact phrase
• Filter functions: Language, region, and duration can be set
• Provide feedback: Showing inaccurate results → Improving AI learning

5. Chinese AI vs US AI: Who's the winner with Deepseek AI?

Compare strategies in both countries

Where Deepseek AI is located

• Strengths of Chinese AI: Ability to collect large amounts of data → reflected in DeepSeek V3's faster search speeds
• Strengths of U.S. AI: Creative problem solving → Implemented in deep analysis in DeepSeek R1

Expert opinion

"China is ahead in data, the US is ahead in creativity, but Deepseek AI is a fusion of both." - AI Researcher Park***

6. Pro Tips for Beginners

Writing a paper with DeepSeek R1

1. Upload data: Convert research materials to CSV
2. Run DeepThink: "Analyze key patterns in this data"
3. Download the report: Insert an auto-generated chart into your paper

Writing a blog post with DeepSeek V3

1. Search: "AI Trending Keywords for 2024"
2. Filter results: Select the most recent material (within 6 months)
3. Create a draft: "Create a blog outline with these keywords"

Browse the official documentation

• DeepSeek API: Provide links to documentation for developers
• Community: Exchange tips in the user forum

7. recent controversial issues

Limitations of a reinforcement-centered approach

• DeepSeek claimed to have minimized Supervised Learning and leveraged Reinforcement Learning, but it's unclear whether this approach is actually sufficient for model performance. Validated by academia and industryis required.

Training data provenance controversy

• DeepSeek Unauthorized use of external training data that is not your ownin the past.
• If it turns out that you used training data from a third party, Incur additional costswith the potential for legal challenges.

Lack of reproducibility of performance

• While DeepSeek is open-sourcing it, there are questions about whether it can actually achieve the same performance based on the specifications presented to date.
• Technical reportsand Validate code reproducibilityand the verification process is in progress.

Validate the cost savings of inference-based learning

• Although it claims to have reduced learning costs by centering on reinforcement learning, Initial learning costs to gain inference skillsThis is likely underestimated.
• In particular, it has been pointed out that there is a lack of clarity on the amount and quality of prior knowledge required during the inference process.

Finalize

Deepseek AI is about to become a must-have tool for AI utilization. With competition from 🇨🇳 China and 🇺🇸 the US, Deepseek AI is gaining ground, try it out today! If you have any questions or success stories, please share them in the comments. Let's become AI masters together!

By the way, there is an AI service in Korea, would you like to check it out? How to use AI agent Luton: 3 main page menus, GPT-4 is free? (Feat. AI Service Alan) Check out the post!

#Glossary

1. Natural Language Processing (NLP)
   • Definition: NLP is the art of understanding, processing, and generating human language (text and speech) by AI.
   • Examples of uses: Translators (Google Translate), voice assistants (Siri, Alexa), sentiment analysis (social media trend analysis).
2. GPU Acceleration
   • Definition: A Graphic Processing Unit (GPU) is hardware originally designed for graphics processing, but it is also utilized for complex computations in AI models.
   • Features: Specialized in parallel processing to significantly speed up AI learning and inference.
   • Use cases: Training deep learning models, image and video processing, running super large language models.
3. Curation
   • Definition: The process of curating and presenting vast amounts of data to users to suit their tastes and needs.
   • Examples of uses: Recommended content on Netflix, personalized playlists on Spotify, personalized article recommendations in news apps.
4. Application Programming Interface (API)
   • Definition: An interface that helps programs connect and exchange data and functionality between them.
   • Features: Provided to make it easier for developers to implement specific functionality (e.g., payments, maps, search).
   • Use casesLocation-based services using the Google Maps API, automating data analysis using the DeepSeek API.
5. Mixture of Experts (MoE)
   • Definition: A technique for increasing efficiency by activating only the most appropriate model for a particular task among multiple expert models (submodels).
   • Feature: Not using all models at the same time Save memory and compute resources.
   • Use Case: DeepSeek R1 maximizes efficiency and performance with MoE architecture.
6. Chain of Thought (COT)
   • Definition: The way AI structures a step-by-step thought process to logically generate answers when solving complex problems.
   • Features: Useful when dealing with complex math problems or logical questions.
   • Use Case: DeepSeek R1 adds "accuracy compensation" to COT to further enhance performance.