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  • pdf文档 OpenAI 《A practical guide to building agents》

    practical 
 guide to 
 building agents Contents What is an agent? 4 When should you build an agent? 5 Agent design foundations 7 Guardrails 24 Conclusion 32 2 Practical guide to building agents Introduction you’ll have the foundational knowledge you need to confidently start building your first agent. 3 A practical guide to building agents What is an agent? While conventional software enables users to always operating within clearly defined guardrails. 4 A practical guide to building agents When should you build an agent? Building agents requires rethinking how your systems make decisions and handle complexity
    0 码力 | 34 页 | 7.00 MB | 6 月前
    3
  • pdf文档 Trends Artificial Intelligence

    to 7MM Developers Y/Y Developers Building with Gemini, MM AI Development Trending = Unprecedented Note: Per Google in 5/25, ‘Over 7 million developers are building with Gemini, five times more than non-users with little to no interest in adopting AI within the next 12 months. Source: OpenAI, ‘Building an AI-Ready Workforce: A Look at College Student ChatGPT Adoption in the US’ (2/25) AI User + Usage charge; they’re not just experimenting with agents, but deploying them, investing in frameworks and building ecosystems around autonomous execution. What was once a messaging interface is becoming an action
    0 码力 | 340 页 | 12.14 MB | 4 月前
    3
  • pdf文档 OpenAI - AI in the Enterprise

    and responsive customer experiences. 3 AI in the EnterpriseBut leveraging AI isn’t the same as building software or deploying cloud apps. The most successful companies are often those who treat it as Enterprise globally, then let people discover their own use cases. “Normally, in a business like ours, building even a prototype requires technical resources and time,” says Elena Alfaro, Head of Global AI Adoption
    0 码力 | 25 页 | 9.48 MB | 5 月前
    3
  • pdf文档 DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

    throughput of DeepSeek-V2 exceeds 100K tokens per second. 4. Alignment 4.1. Supervised Fine-Tuning Building upon our prior research (DeepSeek-AI, 2024), we curate our instruction tuning datasets to include girls left. In total there are 10 boys + 7 girls = 17 boys and girls left. The answer is 17. Q: Building one birdhouse requires 7 planks and 20 nails. If 1 nail costs 0.05, and one plank costs 3, what 0.05 = 1 for each birdhouse. So to build one birdhouse one will need 21 + 1 = 22. So the cost of building 4 birdhouses is at 4 * 22 = 88. The answer is 88. Q: Danny brings 3 watermelons to his family picnic
    0 码力 | 52 页 | 1.23 MB | 1 年前
    3
  • pdf文档 Google 《Prompt Engineering v7》

    museum’s collection includes works by Picasso, Kandinsky, and Rietveld, housed in a striking modern building. Table 5. An example of role prompting The above example shows an example of taking the role of Suggestions: Output 1. Behold the Empire State of Mind: Ascend to the dizzying heights of the Empire State Building and bask in the glory of Manhattan's skyline. Prepare to feel like King Kong atop the Big Apple
    0 码力 | 68 页 | 6.50 MB | 6 月前
    3
  • pdf文档 OctoML OSS 2019 11 8

    Q OctoML Open Source at O〇ctoML TVM Meetup 11/8/2019 Jared Roesch OctoML is a new company building DL deployment solutions using the Apache (incubating) TVM project. A goal is to nurture the TVM community
    0 码力 | 16 页 | 1.77 MB | 5 月前
    3
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