Open source LLM DeepSeek AI

DeepSeek AI: A Detailed Overview

a) What is LLM?

A Large Language Model (LLM) is a type of artificial intelligence (AI) designed to process and understand human language. LLMs are trained on vast amounts of text data, which enables them to learn patterns, relationships, and context within language. These models can perform various tasks, such as language translation, text summarization, and conversation generation. LLMs have revolutionized the field of natural language processing (NLP) and have numerous applications in industries like customer service, content creation, and language education.

What is DeepSeek AI?

DeepSeek AI is an open-source Large Language Model (LLM) developed by a team of researchers and engineers mostly with chinese origin. It is designed to be a more transparent and customizable alternative to proprietary LLMs like ChatGPT. DeepSeek AI is trained on a massive dataset of text from various sources, including books, articles, and websites. The model is optimized for conversational tasks, such as answering questions, generating text, and engaging in discussions.

Advantages of DeepSeek AI:

• Open-source: DeepSeek AI is open-source, which means that its code and training data are publicly available. This allows developers to modify and customize the model to suit their specific needs.
• Transparency: Unlike proprietary LLMs, DeepSeek AI provides transparency into its training data and algorithms. This enables developers to understand how the model works and make informed decisions about its use.
• Customizability: DeepSeek AI can be fine-tuned for specific tasks and domains, allowing developers to adapt the model to their particular use case.
• Community-driven: Being opensource DeepSeek AI will have active community of developers and researchers who contribute to its development and improvement.
• Cost-effective: DeepSeek AI is free to use and modify, making it a cost-effective alternative to proprietary LLMs. Testing from many independent developers show that it can be trained on much lower hardware, still provide comparable performances in comparison to proprietary LLMs

DeepSeek AI Disadvantages:

• Limited resources: DeepSeek AI is an open-source project, which means that it may not have the same level of resources and funding as proprietary LLMs.
• Limited scalability: DeepSeek AI may not be able to handle large volumes of traffic or complex tasks, which can limit its scalability.
• Dependence on community: DeepSeek AI relies on its community of developers and researchers to contribute to its development and improvement.
• Limited support: DeepSeek AI may not have the same level of support and documentation as proprietary LLMs.

Advantages of Open-Source LLM:

• Community-driven: Open-source LLMs like DeepSeek AI have an active community of developers and researchers who contribute to their development and improvement.
• Transparency: Open-source LLMs provide transparency into their training data and algorithms, enabling developers to understand how the model works.
• Customizability: Open-source LLMs can be fine-tuned for specific tasks and domains, allowing developers to adapt the model to their particular use case.
• Cost-effective: Open-source LLMs are free to use and modify, making them a cost-effective alternative to proprietary LLMs.

Disadvantages of Open-Source LLM:

• Limited resources: Open-source LLMs may not have the same level of resources and funding as proprietary LLMs.
• Limited scalability: Open-source LLMs may not be able to handle large volumes of traffic or complex tasks, which can limit their scalability.
• Dependence on community: Open-source LLMs rely on their community of developers and researchers to contribute to their development and improvement.
• Limited support: Open-source LLMs may not have the same level of support and documentation as proprietary LLMs.

DeepSeek AI Comparison with ChatGPT-4:

ChatGPT-4 is a proprietary LLM developed by OpenAI. While both models are designed for conversational tasks, there are significant differences between them.

• Training data: ChatGPT-4 is trained on a massive dataset of text from various sources, including books, articles, and websites. DeepSeek AI is also trained on a large dataset, but its training data is not as extensive as ChatGPT-4.
• Scalability: ChatGPT-4 is designed to handle large volumes of traffic and complex tasks, making it more scalable than DeepSeek AI.
• Customizability: DeepSeek AI is more customizable than ChatGPT-4, as it is open-source and can be fine-tuned for specific tasks and domains.

DeepSeek AI Comparison with OpenAI-O3 series:

DeepSeek AI vs. O3-Mini

• Training data: DeepSeek AI is trained on a large dataset of text from various sources, including books, articles, and websites. O3-Mini is trained on a smaller dataset, but still provides good performance on conversational tasks.
• Model size: DeepSeek AI has a larger model size than O3-Mini, which can provide better performance on complex tasks.
• Customizability: DeepSeek AI provides more flexibility in terms of customization, as it allows developers to modify its architecture and training data.
• Performance: DeepSeek AI provides better performance on conversational tasks, such as answering questions and generating text. O3-Mini is still a good option for simple conversational tasks, but may not perform as well on more complex tasks.

DeepSeek AI vs OpenAI O3

• Training data: DeepSeek AI is trained on a large dataset of text from various sources, including books, articles, and websites. O3 is trained on an even larger dataset, which can provide better performance on conversational tasks.
• Model size: DeepSeek AI has a smaller model size than O3, which can make it more efficient to use and deploy.
• Customizability: Both models can be fine-tuned for specific tasks and domains. However, DeepSeek AI provides more flexibility in terms of customization, as it allows developers to modify its architecture and training data.
• Performance: O3 provides better performance on conversational tasks, such as answering questions and generating text. DeepSeek AI is still a good option for conversational tasks, but may not perform as well as O3 on more complex tasks.

O3 was trained on a large-scale distributed computing system with thousands of NVIDIA A100 GPUs, while DeepSeek AI was trained on a smaller-scale system with a few thousands of older, less powerful NVIDIA V80 GPUs. The training hardware used for O3 was significantly more powerful than that used for DeepSeek AI. The A100 GPUs used for O3’s training system provide a significant performance boost compared to the GPUs used for DeepSeek AI’s training system. The training cost and training time used for DeepSeek AI is arguably claimed by its developers as much lower (training period is cliamed in deepseek documentation as just 2 months which is not yet confirmed by AI peer developers). Deepseek is offering their Api for much lower cost than OpenAI

Future of Open-Source LLM:

The future of open-source LLMs like DeepSeek AI looks promising. As more developers and researchers contribute to the development of these models, we can expect to see significant improvements in their performance and capabilities. Following are some of the pros

• Increased adoption: Open-source LLMs are likely to become more widely adopted in various industries, including customer service, content creation, and language education.
• Improved performance: As more developers contribute to the development of open-source LLMs, we can expect to see significant improvements in their performance and capabilities.
• Increased customization: Open-source LLMs will continue to provide more flexibility in terms of customization, allowing developers to modify their architecture and training data to suit their specific needs.
• Community-driven development: The development of open-source LLMs will continue to be driven by the community, with developers and researchers contributing to their development and improvement.

Where DeepSeek AI Can Be Helpful:

DeepSeek AI can be helpful in various fields, including:

• Customer service: DeepSeek AI can be used to develop chatbots and virtual assistants that can provide customer support and answer frequently asked questions.
• Content creation: DeepSeek AI can be used to generate high-quality content, such as articles, blog posts, and social media posts.
• Language education: DeepSeek AI can be used to develop language learning tools and resources, such as language translation software and language learning apps.
• Research and development: DeepSeek AI can be used to analyze large datasets and provide insights and recommendations for researchers and developers.
• Healthcare: DeepSeek AI can be used to develop medical chatbots and virtual assistants that can provide patient support and answer medical questions.

Summary:

DeepSeek AI is an open-source LLM that provides a more transparent and customizable alternative to proprietary LLMs, however since its founders are chinese raises many questions on sensorship, however with model can be modified to overcome sensorship in future. While it has its limitations, DeepSeek AI has the potential to revolutionize the field of NLP and provide significant benefits to various industries. As the development of open-source LLMs continues to evolve, we can expect to see significant improvements in their performance and capabilities. With its flexibility and customizability, DeepSeek AI can be a valuable tool for developers and researchers looking to develop innovative NLP applications.

In conclusion, DeepSeek AI is a powerful tool that can be used in various fields, including customer service, content creation, language education, research and development, and healthcare. Its open-source nature and customizability make it an attractive alternative to proprietary LLMs. As the development of open-source LLMs continues to evolve, we can expect to see significant improvements in their performance and capabilities. With its flexibility and customizability, DeepSeek AI can be a valuable tool for developers and researchers looking to develop innovative NLP applications.

• DeepSeek AI is an open-source LLM that provides a more transparent and customizable alternative to proprietary LLMs.
• DeepSeek AI can be used in various fields, including customer service, content creation, language education, research and development, and healthcare.
• The development of open-source LLMs continues to evolve, with significant improvements in their performance and capabilities expected in the future.
• DeepSeek AI provides more flexibility in terms of customization, allowing developers to modify its architecture and training data to suit their specific needs.
• The community-driven development of open-source LLMs will continue to play a significant role in their development and improvement.