OpenAI 《A practical guide to building agents》issue, booking a restaurant reservation, committing a code change, or generating a report. Applications that integrate LLMs but don’t use them to control workflow execution—think simple chatbots, single-turn by using APIs from underlying applications or systems. For legacy systems without APIs, agents can rely on computer-use models to interact directly with those applications and systems through web and application coordinates multiple specialized agents via tool calls, each handling a specific task or domain. Decentralized (agents handing off to agents) Multiple agents operate as peers, handing off tasks to one another0 码力 | 34 页 | 7.00 MB | 6 月前3
Trends Artificial Intelligence
AI-translated into 29 languages from ElevenLabs48 AI Performance = Emerging Applications Accelerating Emerging AI Applications – 11/24, per Morgan Stanley Source: Morgan Stanley, ‘GenAI: Where are We Seeing weapons…surveillance and persuasion…biased decision making… impact on employment…safety-critical applications…cybersecurity… AI = Benefits & Risks Source: Stuart Russell and Peter Norvig, ‘Artificial Intelligence: Number of Developers (MM) 7K 27K 0 15 30 2021 2025 Number of AI Startups (K) Number of Applications Using GPUs (K) 1.7K 4K 0 2.5 5 +2.4x +3.9x +2.4x Technology Ecosystem AI Adoption =0 码力 | 340 页 | 12.14 MB | 4 月前3
Google 《Prompt Engineering v7》that variable in each prompt. This makes a lot of sense when integrating prompts into your own applications. Prompt VARIABLES {city} = "Amsterdam" PROMPT You are a travel guide. Tell me a fact about the without its drawbacks. The structured nature of JSON, while beneficial for parsing and use in applications, requires significantly more tokens than plain text, leading to increased processing time and especially valuable when working with large volumes of data or when integrating LLMs into complex applications. Experiment together with other prompt engineers If you are in a situation where you have to try0 码力 | 68 页 | 6.50 MB | 6 月前3
OpenAI - AI in the Enterprisetesting the outputs that your models produce. Rigorous evals lead to more stable, reliable applications that are resilient to change. Evals are built around tasks that measure the quality of the the new, customized context. The performance uplift was significant: A 20% increase in job applications started A 13% uplift in downstream success—not only were more candidates likely to apply,0 码力 | 25 页 | 9.48 MB | 5 月前3
TVM@AliOSas pipeline 。, Implement complete Hexagon runtime based on community PR. ADSPRPC Framework Applications Processor | | DSP Processor /NiiOS ! 驱动万物智能 Alios TVM Q@ Hexagon0 码力 | 27 页 | 4.86 MB | 5 月前3
DeepSeek-V2: A Strong, Economical, and Efficient
Mixture-of-Experts Language ModelThirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances0 码力 | 52 页 | 1.23 MB | 1 年前3
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