Google 《Prompt Engineering v7》
application and desired outcome, and the settings all impact one another. It’s also important to make sure you understand how your chosen model combines the different sampling settings together. If temperature extremely high (above 1–generally into the 10s), temperature becomes irrelevant and whatever tokens make it through the top-K and/or top-P criteria are then randomly sampled to choose a next predicted Configuration’ above). Pay attention to the generated output. The words disturbing and masterpiece should make the prediction a little more complicated, as both words are used in the same sentence. Prompt Engineering0 码力 | 68 页 | 6.50 MB | 6 月前3Trends Artificial Intelligence
mission (1998) was to ‘organize the world’s information and make it universally accessible and useful.’ Alibaba’s founding mission (1999) was to ‘make it easy to do business anywhere.’ Facebook’s founding founding mission (2004) was ‘to give people the power to share and make the world more open and connected.’ Fast forward to today with the world’s organized, connected and accessible information being supercharged especially China, are highly capable… there’s very few secrets. And there’s just progress. And you want to make sure that you’re never behind. The reality is AI leadership could beget geopolitical leadership0 码力 | 340 页 | 12.14 MB | 4 月前3OpenAI 《A practical guide to building agents》
reliably and consistently on behalf 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 building agents When should you build an agent? Building agents requires rethinking how your systems make decisions and handle complexity. Unlike conventional automation, agents are uniquely suited to workflows helps minimize ambiguity and helps the model better follow instructions. Define clear actions Make sure every step in your routine corresponds to a specific action or output. For example, a step might0 码力 | 34 页 | 7.00 MB | 5 月前3DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
standard benchmarks such as BBH. In order to alleviate the alignment tax, during the RL stage, we make significant efforts in data processing and improving training strategies, finally achieving a tolerable turning brown - trees growing - blossoms blooming Table 31 | An example of OpenBookQA. PROMPT To make it easier to push the reset button of the garbage disposable machine which is located underneath the useful.Farmers and gardeners like having lots of earthworms in their land because the worms help to make better soil when they dig.That digging keeps the soil loose and airy .In one year earthworms can pile0 码力 | 52 页 | 1.23 MB | 1 年前3Deploy VTA on Intel FPGA
Configure vta/config/de10nano_config.json to vta_config.json Step 9: Go to vta/hardware/intel and run make command Step 10: Get the generated .sof file programmed into hardware Step 11: Evaluate the unit0 码力 | 12 页 | 1.35 MB | 5 月前3OctoML OSS 2019 11 8
13 Acknowledgments e The Apache(incubating) community members. e ASF Mentors and PMC members who make this awesome project Possiblel ee AWS for hosting the first Bay Area meetup QQ octoML 14 Annual0 码力 | 16 页 | 1.77 MB | 5 月前3OpenAI - AI in the Enterprise
resources in customizing and training their own AI models. OpenAI has invested heavily in our API to make it easier to customize and fine-tune models—whether as a self-service approach or using our tools0 码力 | 25 页 | 9.48 MB | 5 月前3清华大学 DeepSeek+DeepResearch 让科研像聊天一样简单
create a chart using this data? 画一个图表 What are the rows and columns in this dataset? 描述一下行和列 Can you make the graphs more beautiful? 把图美化一下 Can you write a one sentence recap of this data? 快速回顾一下 Create0 码力 | 85 页 | 8.31 MB | 7 月前3
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