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Discover reviews on "best prompt deepseek" based on Reddit discussions and experiences.

Last updated: February 8, 2025 at 12:35 AM
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Summary of Reddit Comments on "best prompt Deepseek" Query

Comments on Deepseek Deep Learning Model:

  • Mixed opinions on Deepseek, some users find it comparable to OpenAI and ChatGPT but others find it lacking in performance.
  • Discussion about the availability and performance of the Deepseek-R1 32B model.
  • Suggestions to experiment with different versions of Deepseek, like llama 3.3 70B, Qwen 2.5, and QwQ 32B for improved results.
  • Challenges highlighted in optimizing local AI performance and running larger models due to hardware limitations.
  • The necessity of knowledge graphs, prompt engineering, and RAG for enhancing the capabilities of local AI models.

Performance and Experiences with Deep Learning Models:

  • LLM models like Deepseek have shown good results in academic writing and mathematical tasks.
  • Users find Deepseek lacking in some areas but excelling in math-related tasks.
  • Comparison made between Claude, Deepseek, and Gemini for academic writing, with varying opinions on their performance.
  • The need for advanced hardware and software configurations to maximize the performance of local AI models.
  • Observations on the effectiveness of LLMs in coding tasks and the challenges faced in utilizing them for specific purposes.

Challenges and Suggestions for Improving local AI models:

  • Criticisms of unrealistic comparisons and assumptions made about local vs. online AI model performance.
  • Suggestions to increase context window and utilize specific configurations for better results.
  • Discussion on the significance of hardware capacity, context optimization, and workflow integration for enhancing the performance of local LLMs.
  • Insights on the limitations of AI models and the importance of structuring prompts effectively.

Other Recommendations and Comments:

  • Recommendations to use LMStudio or Azure for running actual Deepseek-R1 models.
  • Discussion on the structural similarities among different LLMs and the differences in results based on prompts.
  • Challenges in understanding and navigating different models like Deepseek for optimal performance in various tasks.

Overall, the Reddit comments capture varying experiences, opinions, and challenges related to using Deepseek and other local AI models for different tasks and tasks.

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