massive change. Sport provides a good analogy for AI’s constant improvements. As athletes continue to wow us and break records, their talent is increasingly enhanced by better data / inputs / training. The 1/25), Similarweb (5/25) ElevenLabs AI Voice Generator – 1/23-4/25, per ElevenLabs & Similarweb When you create a new dubbing project, Dubbing Studio automatically transcribes your content, translates Generation Note: Revenue annualized using Q1:25 results. Source: Spotify, ‘The New York Post,’ ‘Inside Spotify: CEO Daniel Ek on AI, Free Speech & the Future of Music’ (5/2/25); Spotify earnings releases;

Device-Limited Routing We design a device-limited routing mechanism to bound MoE-related communication costs. When expert parallelism is employed, the routed experts will be distributed across multiple devices. For them. Then, we perform top-K selection among experts on these ? devices. In practice, we find that when ? ⩾ 3, the device-limited routing can achieve a good performance roughly aligned with the unrestricted collapse (Shazeer et al., 2017), preventing some experts being fully trained and utilized. Secondly, when expert parallelism is employed, unbal- anced load will diminish computation efficiency. During the

various prompt attempts 64 Summary 66 Endnotes 68 Prompt Engineering February 2025 6 Introduction When thinking about a large language model input and output, a text prompt (sometimes accompanied by other or a machine learning engineer – everyone can write a prompt. Prompt Engineering February 2025 7 When you chat with the Gemini chatbot,1 you basically write prompts, however this whitepaper focuses on relationship between what’s in the previous tokens and what the LLM has seen during its training. When you write a prompt, you are attempting to set up the LLM to predict the right sequence of tokens

A 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 of a user: 01 It leverages an LLM to manage workflow execution and make decisions. It recognizes when a workflow is complete and can proactively correct its actions if needed. In case 
 of failure, it state, 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

8 AI in the EnterpriseLesson 2 Embed AI into your products How Indeed humanizes job matching When AI is used to automate and accelerate tedious, repetitive work, employees can focus on 
 the things to help connect more people 
 to jobs, faster—a win for everyone. We see a lot of opportunity to continue to invest 
 in this new infrastructure in ways that will help 
 us grow revenue. Chris Hyams CEO tagging accuracy 
 by 20%—with error detection improving by 60%. Excitement in the team was palpable when we saw results from fine-tuning GPT 3.5 on our product data. We knew we had a winner on our hands

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innovation, 
 e.g. use (GA/RL/BayesOpt/your favorite ML method) for AutoSchedule 
 Easy shift to C++ when product readyInterpolate with Other Compilers MLIR-TF Function relay::Function TorchScript IR

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