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Well, after having a feature comparison of ChatGPT & Gemini, let\u2019s explore the DeepSeek cosmos, surpassing their capabilities.\u00a0<\/span><\/p>\n\n- \n
DeepSeek LLM<\/b><\/h3>\n<\/li>\n<\/ul>\n
DeepSeek LLM is an advanced Large Language Model that encapsulates 67 billion parameters. Phenomenally trained over large datasets, DeepSeek offers 2 trillion tokens in both English and Chinese languages. To leverage research capability, developers have fostered DeepSeek LLM 7B\/67B Base & DeepSeek LLM 7B\/67B Cha, an open source privilege for the whole research community.\u00a0<\/span><\/p>\n <\/p>\n
The four models of DeepSeek LLM are:<\/span><\/p>\n\n- DeepSeek LLM 7B Base\u00a0 \u00a0 \u00a0 \u00a0 <\/span>(Download)<\/span><\/li>\n
- DeepSeek LLM 7B Chat \u00a0 \u00a0 \u00a0 \u00a0 <\/span>(Download)<\/span><\/li>\n
- DeepSeek LLM 67B Base \u00a0 \u00a0 \u00a0 <\/span>(Download)<\/span><\/li>\n
- DeepSeek LLM 67B Chat \u00a0 \u00a0 \u00a0 <\/span>(Download)<\/span><\/li>\n<\/ol>\n
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Some key takeaways of DeepSeek LLM are:<\/span><\/p>\n\n- The capabilities of DeepSeek LLM models are reasoning, mathematics, coding, and Chinese comprehension.\u00a0<\/span><\/li>\n
- The training data modules cover a diverse blend of codes, mathematical algorithms, self-accumulated data, and internet texts.\u00a0<\/span><\/li>\n
- The system aligns with heuristic rules and structures to polish the data-training format.\u00a0<\/span><\/li>\n
- The filtering & refining process eradicates low-quality datasets and sustains the high-quality data modules.\u00a0<\/span><\/li>\n
- With enabled sensor integration, DeepSeek bans toxic & harmful content.\u00a0<\/span><\/li>\n
- The advanced deduplication system uses MinhashLSH to remove content duplicacy at both document and string levels. This will ensure uniqueness, integrity, and ethics of large-scale datasets.\u00a0<\/span><\/li>\n<\/ol>\n
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DeepSeek Coder<\/b><\/h3>\n<\/li>\n<\/ul>\n
This model comprises an assortment of code languages with 2 trillion token limits, 87% code blending, and 13% natural language in Chinese & English language. The code model varies from 1B to 33B versions, pre-trained on project-level code corpus, with 16K window bandwidth and additional fill-in-the-blank task to encourage project-level code writing and infilling. Among many other open-source code models, DeepSeek Coder demonstrates state-of-the-art performance at countless benchmarking parameters.\u00a0<\/span><\/p>\n <\/p>\n
Some key takeaways from the DeepSeek Coder:\u00a0<\/span><\/p>\n\n- It has colossal training data with 2T tokens, 13% linguistic datasets, and 87% code data.\u00a0<\/span><\/li>\n
- DeepSeek Coder offers multiple model versions of 1B, 5.7B, 6.7B, and 33B, as per the requirement of your operational setup.\u00a0<\/span><\/li>\n
- It is the best performing AI coder among all open source code models on MultiPL-E, HumanEval, DS-1000, MBPP, and APPS benchmarks.<\/span><\/li>\n
- With 16K window bandwidth and a fill-in-the-blank task, DeepSeek offers high project-level coding and infilling tasks.<\/span><\/li>\n<\/ol>\n
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Find out the in-depth <\/span>evaluation<\/span> of DeepSeek Coder.\u00a0<\/span><\/p>\n\n- \n
DeepSeek Maths<\/b><\/h3>\n<\/li>\n<\/ul>\n
DeepSeekMath is configured with <\/span>DeepSeek-Coder-v1.5 7B<\/span> with natural language and code data for 500B tokens. DeepSeekMath 7B attains the score of 51.7% on the competition-level mathematics without any voting techniques, almost reaching the performance-level of GPT-4 and Gemini-Ultra.\u00a0<\/span><\/p>\n <\/p>\n
The three fundamental models are:\u00a0<\/span><\/p>\n\n- DeepSeekMath-Base 7B \u00a0 \u00a0 \u00a0 \u00a0 <\/span>(Download)<\/span><\/li>\n
- DeepSeekMath-Instruct 7B \u00a0 \u00a0 <\/span>(Download)<\/span><\/li>\n
- DeepSeekMath-RL 7B\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 <\/span>(Download)<\/span><\/li>\n<\/ol>\n
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Key takeaways from DeepSeek Maths:<\/span><\/p>\n\n- This offers mathematical problem-solving capabilities with step-by-step guidelines.\u00a0<\/span><\/li>\n
- It leverages reasoning, understanding, and code compilation.\u00a0<\/span><\/li>\n
- DeepSeek Maths outperforms other AI chatbots by 10% with few-shot chain-of-thought prompting.\u00a0<\/span><\/li>\n<\/ol>\n
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DeepSeek VL\u00a0<\/b><\/h3>\n<\/li>\n<\/ul>\n
DeepSeek-VL is an open-source Vision-Language, specifically designed for real-world vision and language understanding. It manufactures multimodal capabilities, logical diagrams, scientific literature, formula recognition, web pages, and natural images.<\/span><\/p>\n <\/p>\n
The four models of DeepSeek VL are:\u00a0<\/span><\/p>\n\n- DeepSeek-VL-1.3B-base \u00a0 \u00a0 \u00a0 \u00a0 <\/span>(Download)<\/span><\/li>\n
- DeepSeek-VL-1.3B-chat\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 <\/span>(Download)<\/span><\/li>\n
- DeepSeek-VL-7B-base\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 <\/span>(Download)<\/span><\/li>\n
- DeepSeek-VL-7B-chat \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 <\/span>(Download)<\/span><\/li>\n<\/ol>\n
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