Introducing DeepSeek LLM: The Ultimate Open-Source Coding Model, Comparing It to GPT-4
We all have heard of this large language model called DeepSeek. This is possibly one of the best open-source coding-based language models that are out there. It's an advanced model comprising 67 billion parameters and another model containing 7 billion. It has been trained from scratch on a vast dataset of two trillion tokens. The great part is that DeepSeek can outperform llama to's 70 billion base model as well as being on par with GPT 3.5. It also does quite well against Mixol, which is Mol's new AI model.
DeepSeek's New Tech Reports and Model
We have some big news regarding DeepSeek. They have recently launched some new tech reports and a new model that competes with GPT-4's coding capabilities. This is an exciting development for the coding community as it provides even better resources and applications. In addition to the new model and reports, we are also giving out more subscriptions to our Patreon supporters this month. Joining our Patreon page not only gives you access to subscriptions, but also resources, collaboration opportunities, and more. Take a look at the Patreon link in the description below to access our private Discord.
Comparison with Other Models
Let's take a look at the leaderboard that compares DeepSeek with other open-source and closed-source models. The graph showcases different benchmarks for models with less than 30 billion parameters. DeepSeek surpasses every single project of GPT-4, GPT 3.5, and other models in most categories. It is especially proficient in coding and mathematics and performs well in other languages such as Chinese. This is a testament to the strength of open-source models in the AI field.
Introducing DeepSeek Version 1.5
Another great thing to note is the release of DeepSeek version 1.5. This new version contains an additional 1.4 trillion tokens of coding data, making it even better at natural language programming and math reasoning. It is a significant upgrade in capabilities and showcases the continuous improvements made by DeepSeek. In a recent Twitter post, they hinted at developing a bigger and stronger model in the future, which could potentially revolutionize the AI world.
Getting Started with DeepSeek 1.5
If you want to try out the new DeepSeek version 1.5 model, follow these steps. First, go to the Hugging Face model card for DeepSeek 1.5. Once there, make sure you have LM Studio, an application that allows you to run open-source large language models locally. Install this application if you haven't already. Copy the model card from the Hugging Face page and paste it into the search tab in LM Studio. Click enter, and you should see the new model. Download it and load it into LM Studio to start using it.
DeepSeek Alpha and Tech Report
You can also try out DeepSeek on the Deep SE website. Simply register with a Google account or email, click on the DeepSeek tab, and start chatting with it. It's a great way to explore its capabilities. Additionally, DeepSeek has released a new tech report that provides more details about the model's development and comparisons with other large language models. It's an interesting read for those interested in the technical aspects of DeepSeek.
Conclusion
DeepSeek is an impressive open-source coding model that surpasses many other models in terms of performance and capabilities. Its latest release, DeepSeek version 1.5, adds even more power and versatility to the model. With its extensive training on a vast dataset, DeepSeek is a valuable resource for the coding community. Whether you're a beginner or an experienced coder, DeepSeek has something to offer. Try it out and experience its coding capabilities firsthand.
Frequently Asked Questions
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Q: How does DeepSeek compare to other coding models?
A: DeepSeek outperforms many other coding models, including GPT-4 and GPT 3.5, in various benchmarks. It is especially proficient in coding and mathematics tasks.
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Q: Can I try out DeepSeek for free?
A: Yes, you can try out DeepSeek on the Deep SE website. Simply register and access the DeepSeek tab to start using it.
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Q: How can I get the latest version of DeepSeek?
A: To get the latest version of DeepSeek, visit the Hugging Face model card for DeepSeek 1.5. Follow the instructions to download and install it on LM Studio.
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Q: Is DeepSeek only available in English?
A: No, DeepSeek is trained on both English and Chinese datasets, making it proficient in both languages.
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Q: Does DeepSeek have collaborative features?
A: Yes, DeepSeek offers collaboration and networking opportunities through its Patreon page and private Discord community.
