Google 《Prompt Engineering v7》
contextual, and role prompts provides a framework for designing prompts with clear intent, allowing for flexible combinations and making it easier to analyze how each prompt type influences the language model’s message print("Files renamed successfully.") ``` These improvements make the code more robust and flexible while also making it easier to read and understand... (The response was truncated because it has a large language model, instead of just relying on text. This can include combinations of text, images, audio, code, or even other formats, depending on the model’s capabilities and the task at hand0 码力 | 68 页 | 6.50 MB | 6 月前3OpenAI 《A practical guide to building agents》
application UIs—just as a human would. Each tool should have a standardized definition, enabling flexible, many-to-many relationships between tools and agents. Well-documented, thoroughly tested, and reusable templates. Rather than maintaining numerous individual prompts for distinct use cases, use a single flexible base prompt that accepts policy variables. This template approach adapts easily to various contexts between agents. Regardless of the orchestration pattern, the same principles apply: keep components flexible, composable, and driven by clear, well-structured prompts. 17 A practical guide to building agents0 码力 | 34 页 | 7.00 MB | 5 月前3TVM: Where Are We Going
y] * B[k], axis=k)) HW Interface Specification by Tensor Expression TensorizationVTA: Open & Flexible Deep Learning Accelerator • Runtime JIT compile accelerator micro code • Support heterogenous better than CPU on the same board. • Move hardware complexity to software HW-SW Blueprint for Flexible Deep Learning Acceleration. Moreau et al. IEEE Micro 2019. VTA Hardware/Software Interface (ISA)0 码力 | 31 页 | 22.64 MB | 5 月前3Trends Artificial Intelligence
standalone product (5 days to secure 1MM users). Generative AI = AI that can create content – text, images, audio, or code – based on learned patterns. Source: OpenAI Generative AI – Public Launch of ChatGPT Stanford University *Multimodal = AI that can understand and process multiple data types (e.g., text, images, audio) together. **Open-source = AI models and tools made publicly available for use, modification tests 3/23: OpenAI releases GPT-4, a multimodal* model capable of processing both text & images 3/23: Google releases Bard, its ChatGPT competitor 11/23: 28 countries, including USA, EU0 码力 | 340 页 | 12.14 MB | 4 月前3OpenAI - AI in the Enterprise
controls You choose who can see and manage data, ensuring internal governance and compliance. Flexible retention Adjust settings for logging and storage to match your organization’s policies. For more0 码力 | 25 页 | 9.48 MB | 5 月前3XDNN TVM - Nov 2019
increase accuracy deploy Y N Model for DPU Origin training data Calibration data (100-1000 images) >> 15© Copyright 2018 Xilinx Adaptable. Intelligent.0 码力 | 16 页 | 3.35 MB | 5 月前3
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