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  • pdf文档 Trends Artificial Intelligence

    Outside North America Note: LLM data is for monthly active mobile app users. App not available in select countries, including China and Russia, as of 5/25. Source: United Nations / International Telecommunications ChatGPT app monthly active users (MAUs) shown. Note that ChatGPT is not available in China, Russia and select other countries as of 5/25. China data may be subject to informational limitations due to government move in coming months. Data for standalone ChatGPT app only. Country-level data may be missing for select years, as per ITU. Source: United Nations / International Telecommunications Union (3/25), Sensor
    0 码力 | 340 页 | 12.14 MB | 5 月前
    3
  • pdf文档 Google 《Prompt Engineering v7》

    Self-consistency11 combines sampling and majority voting to generate diverse reasoning paths and select the most consistent answer. It improves the accuracy and coherence of responses generated by LLMs And it's pretty easy to set up. I did notice a bug in the contact form, which happens when you select the name field. See the attached screenshot of me entering text in the name field. Notice the JavaScript 3. Select the instruction candidate with the highest evaluation score. This candidate will be the final prompt you can use in your software application or chatbot. You can also tweak the select prompt
    0 码力 | 68 页 | 6.50 MB | 6 月前
    3
  • pdf文档 DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

    of each token will be distributed on at most ? devices. To be specific, for each token, we first select ? devices that have experts with the highest affinity scores in them. Then, we perform top-K selection observe that the RL training can fully tap into and activate the potential of our model, enabling it to select the correct and satisfactory answer from possible responses. 17 Optimizations for Training Efficiency
    0 码力 | 52 页 | 1.23 MB | 1 年前
    3
  • pdf文档 OpenAI 《A practical guide to building agents》

    performance and scalability. When your agents fail to follow complicated instructions 
 or consistently select incorrect tools, you may need to further divide your system and introduce more distinct agents.
    0 码力 | 34 页 | 7.00 MB | 6 月前
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