Introduction
In the ever-evolving realm of AI language models, one name has emerged as a frontrunner: Deep Seek Coder. This remarkable open-source coding-based language model has garnered significant attention for its exceptional performance, surpassing even the renowned LLaMA 2. With an impressive model boasting 67 billion parameters and an additional 7 billion in another, Deep Seek Coder has been trained from scratch on an extensive dataset of two trillion tokens. In this article, we delve into the fascinating advancements of Deep Seek Coder and explore how it has surpassed its competitors.
Video About DeepSeek Coder : https://youtu.be/oLWUHKwjVkU
Unveiling Deep Seek Coder’s Superiority
Deep Seek Coder’s prowess in coding is truly remarkable. Outshining LLaMA 2’s 70 billion base model, it also stands toe-to-toe with the well-established GPT 3.5 language model. Notably, Deep Seek Coder exhibits impressive results when compared to MOE’s new AI model, MIXTRAL. The capabilities of Deep Seek Coder have captured the attention of experts and enthusiasts alike, signaling exciting developments in the field.
New Tech Reports and the Promise of GPT 4 Competitiveness
The team behind Deep Seek Coder has recently launched new tech reports and introduced a brand-new model that directly competes with GPT 4’s coding capabilities. This development promises to elevate the coding experience to new heights, signaling a potential shift in the landscape of AI language models.
Outperforming LLaMA 2
Deep Seek Coder’s outstanding performance in various metrics sets it apart from its competitors. In terms of human involvement, it outperforms LLaMA 2’s 70 billion parameters by almost double, achieving an impressive score of 72.7 compared to LLaMA 2’s 28.7. Furthermore, in high school exams, Deep Seek Coder’s performance is on par with GPT 3.5 and Claudia’s two, scoring between 84 to 85 marks. This remarkable feat positions Deep Seek Coder as a formidable contender in the field.
Evaluating Instruction Following
Deep Seek Coder’s performance in instruction following evaluations is equally notable. When compared to other language models, such as GPT 4 (with a score of 79) and GPT 3.5 Turbo, Deep Seek Coder’s 67 billion parameter base model achieves a score of 79, showcasing its capabilities. While it still has room to catch up with GPT 4 Turbo, Deep Seek Coder’s potential is evident.
Benchmarks and Performance
Deep Seek Coder’s performance can be seen through various benchmarks. In the Lee Code Weekly Contest, it is expected to undergo rigorous evaluations. While the newly introduced metamatch Marshall 7 billion parameter language model falls short with a score below 80, Deep Seek Coder continues to shine. Its performance in token-based evaluations and line charts further solidifies its position as a top performer.
Practical Application and Usage
The practical side of Deep Seek Coder lies in its ease of use and versatility. Utilizing LM Studio, users can run larger language models effortlessly. By downloading the Deep Seek Coder model, developers and enthusiasts can experiment with its capabilities, particularly in creating Python coding. The AI-powered chat function allows users to instruct the model, enabling it to generate code, connect APIs, gather data, and perform analyses. This opens up exciting possibilities for using Deep Seek Coder in various industries and daily tasks.
Conclusion
Deep Seek Coder has emerged as a standout AI language model, surpassing its competitors and garnering attention for its exceptional performance. Surpassing LLaMA 2 and holding its ground against established models like GPT 3.5, Deep Seek Coder showcases its potential to revolutionize the coding experience. With its impressive results in human involvement and instruction following evaluations, Deep Seek Coder has established itself as a formidable contender. As AI language models continue to advance, Deep Seek Coder’s capabilities and potential are poised to reshape the future of coding and beyond.
Resources :
Github : https://github.com/deepseek-ai/DeepSeek-LLM
Huggingface : https://huggingface.co/deepseek-ai/