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 complexity0 码力 | 34 页 | 7.00 MB | 6 月前3
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 action0 码力 | 340 页 | 12.14 MB | 4 月前3
OctoML OSS 2019 11 811/8/2019 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 and contribute new infrastructure and features octoML Coalesced t1: Tensor t2: Tensor t3: Tensor 13 Acknowledgments e The Apache(incubating) community members. e ASF Mentors and PMC members who make this awesome project Possiblel ee AWS for hosting first Bay Area meetup QQ octoML 14 Annual TVM Conference 2019 Organized and participated by community members Thursday, December 5th Seattle WA Register Todayl! QQ octoML tvmconf.org 15 Q OctoML0 码力 | 16 页 | 1.77 MB | 5 月前3
DeepSeek-V2: A Strong, Economical, and Efficient
Mixture-of-Experts Language Modelrelease DeepSeek-V2-Lite, a smaller model equipped with MLA and DeepSeekMoE, for the open-source community. It has a total of 15.7B parameters, where 2.4B are activated for each token. Detailed descriptions 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, what0 码力 | 52 页 | 1.23 MB | 1 年前3
TVM: Where Are We Goingin next 3-4 month More updates about tensor-level IR at the TVM conferenceCommunityOpen Source Community Open source: ~280 contributors from UW, Berkeley, Cornell, UCLA, Amazon, Huawei, NTT, Facebook Open Code Open Development Open GovernanceAcknowledgement Apache (incubating) TVM community Our awesome community members! Alibaba for hosting the meetupTVM Conference 2019 https://sampl.cs.washington0 码力 | 31 页 | 22.64 MB | 5 月前3
清华大学 DeepSeek+DeepResearch 让科研像聊天一样简单在群落范围内,捕食能够影响某一营养等级的动态,也能够影 响整个群落结构的动态。 Within a community, predation can affect thedynamics of a specific trophic level as well as thedynamics of the entire community structure. 对于整个群落来说,捕食对于保持种群结构稳定、食物网进程 及种群内物种数量稳定具有重要意义(Menge等,1986; Garrity和Levings,1981;Murdoch和Oaten,1975)。 For the entire community, pedation is crucial formaintaining population structure stability, food webprocesses, and stable species0 码力 | 85 页 | 8.31 MB | 8 月前3
Facebook -- TVM AWS Meetup Talk- Impedance mismatch with PyTorch JIT IR and Relay IR - Watch this space :)Big thanks to the community0 码力 | 11 页 | 3.08 MB | 5 月前3
TVM Meetup: Quantizationopt© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Conclusion • TVM community is pursuing both Automatic- and Pre-quantized model support. Contributions are welcomed. • We0 码力 | 19 页 | 489.50 KB | 5 月前3
TVM@AliOSKernel Offload to DSP ,loop nests marked as pipeline 。, Implement complete Hexagon runtime based on community PR. ADSPRPC Framework Applications Processor | | DSP Processor0 码力 | 27 页 | 4.86 MB | 5 月前3
OpenAI - AI in the Enterpriseand 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 Adoption0 码力 | 25 页 | 9.48 MB | 5 月前3
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