The world of AI is here!
Though ChatGPT has already made its mark and become a popular “AI assistant tool”, many countries are coming forward to launch their own “Artificial Intelligence”!
Right after Google’s Gemini, China also launched “DeepSeek” to help companies worldwide accelerate their work productivity.
And most importantly, to have an edge over their competitors like “ChatGPT” and “Gemini”!
Speaking of DeepSeek, it ranks as the #1 most downloaded app in 156+ countries and has nearly 22 million daily active users from different countries. (Source: Backlinko).
The story doesn’t end here, though!
A new yet improved version of DeepSeek, i.e., DeepSeek-V2 is known to deliver improved performance and reduced training costs. On the other hand, DeepSeek has another specialized model, i.e., Coder-V2 which is specifically built for coding tasks.
Before starting the debate between the two, let’s understand what DeepSeek-V2 is all about!
What is DeepSeek-V2?
Launched in May 2024, DeepSeek V2 is a robust and efficient AI language that efficiently leverages the “Mixture of Experts” architecture to render smooth performance and enhanced efficiency. Coming to the upgrade, it is great at both natural language processing and generating codes without any hassle.
Whether there are developers, data scientists, or full-fledged enterprise owners, DeepSeek-V2 provides an end-to-end solution for data processing, technical aspects, and code analysis.
But wait!
Though the new and improved model of DeepSeek-V2 is aimed at hassle-free and easy code generation tasks, there have been a lot of speculations about its improvements.
Let’s dive in!
Efficient Inferences
Implementation of DeepSeek-V2 may significantly reduce cache by 93% while boosting generational output by more than 5.5 times.
Economical Training
Businesses have experienced a 42.5% reduction in their training costs.
Improved Performance
The improved DeepSeek-V2 scored significantly higher across a wide range of benchmarks, including BBH, C-Eval, CMMLU, and MMLU.
So, these are the major achievements and improvements made by DeepSeek-V2!
Since it rivals ChatGPT-4 Performance on nearly all major code generation tasks, it provides multiple features that every business should be aware of;
What are the Features of DeepSeek-V2?
Let’s take a look at the salient features of DeepSeek-V2 in detail!
Feature #1: Versatile
One of the key features of DeepSeek-V2 is that it effortlessly supports a wide range of programming languages which perfectly cater to the evolving coding environments and requirements. The new and improved version of DeepSeek-V2 supports more than 338 languages.
Feature #2: Multilingual
Another major highlighting aspect of DeepSeek-v2 is that it is perfectly trained in both coding and natural language which means any global development team can easily use it without any hassle. Whether a business prefers English language or Chinese, the new DeepSeek-V2 has got you covered!
Feature #3: Enhanced Generation Capabilities
DeepSeek -V2 has already been trained on trillions of codes and text data which means it comes with pre-defined yet enhanced data and code generation capabilities across a wide range of coding scenarios.
Feature #4: Multiple Sizes
The new version of DeepSeek-V2 enables the developers to choose the right model size that perfectly fits the best as per the project requirements. No matter whether a business has complex or simple computational needs, DeepSeek-V2 can help in generating codes and calculating complex tasks with ease.
Feature #5: Robust Security
Last but not least, DeepSeek-V2 is an advanced version of DeepSeek which means it provides enterprise-grade security features to protect sensitive data from cyber threats. Furthermore, it gives access to state-of-the-art technologies required for enhanced performance and ultimately, business growth.
{Also Read: From Chatbots to AI Recommendations: Keeping Users Engaged Through Smarter Features}
How Does DeepSeek-Coder V2 Work & Why is it So Different?
Developed on the foundation of the DeepSeek-V2 model, DeepSeek-Coder V2 efficiently harnesses an “MoE” (Mixture-of-Expert) architecture to render high performance in code-generating tasks. The most highlighting aspect of DeepSeek-Coder V2 is that it is equipped with multiple expert models with each specialized in a range of coding tasks. Thus, it means it is easy to select the right expert based on the input code.
Speaking of its training process, it is already trained on a complete dataset training which includes 60% source code, 30% natural language corpus, and 10% math corpus, which collectively totals 10.2 trillion tokens. With such categorization of datasets, it efficiently enables the models to effectively understand and generate code.
Coming to the source code of DeepSeek Coder-V2, its source code dataset includes 1170 billion tokens sourced from GitHub and CommonCrawl, which is a significant upgrade from previous models.
Now that you have understood about DeepSeek Coder-V2, it’s time to learn the difference between DeepSeek-V2 and Coder V2.
Let’s dive in!
DeepSeek V2 vs Coder V2: Which is the Best DeepSeek’s AI Assistant?
Let’s compare DeepSeek V2 and Code V2 based on the following parameters.
Parameter #1: Performance & Efficiency
When it comes to evaluating both AI tools based on performance and efficiency, DeepSeek V2 takes the lead! Since it is backed by MoE architecture, it activates a subset of its parameters for each task which may ultimately lead to resource-saving and energy consumption. When only a few parameters are activated, it leads to ultimate savings. On the other hand. Coder V2 triumphs at providing productive remote development environments.
Parameter #2: Scalability & Deployment
Both AI tools excel at different aspects! DeepSeek V2 allows it to scale efficiently, especially when it comes to handling larger models without requiring additional computational requirements. On the other hand, Coder V2 excels at scalability in terms of infrastructure aspect. It allows workspace management to easily scale their development environments across a wide range of cloud providers and on-premises infrastructure.
Parameter #3: Usage & Integration
Speaking of the DeepSeek V2 vs. Coder V2 differences based on usage and integration, both AI tools are efficient! The former can easily be integrated into a wide range of various applications and workflows through SDKs and DeepSeek APIs. From code completion to understanding of natural language, it allows seamless usage in different scenarios. On the other hand, the latter can easily be integrated with popular tools and cloud services while providing a seamless experience for managing remote development environments.
Final Thoughts
So, that’s all you need to know about DeepSeek V2! It is no secret businesses need to efficiently utilize the improved version of DeepSeek to enhance their productivity and efficiency. Furthermore, DeepSeek V2 and Coder V2 comparison showcase the advanced outcomes in AI coding and remote development. For AI integration in mobile app development, connect with EitBiz or you can even drop us an email at info@eitbiz.com
