(ToT) 36 ReAct (reason & act) 37 Automatic Prompt Engineering 40 Code prompting 42 Prompts for writing code 42 Prompts for explaining code 44 Prompts for translating code 46 Prompts for debugging and Control the max token length 58 Use variables in prompts 58 Experiment with input formats and writing styles 59 For few-shot prompting with classification tasks, mix up the classes 59 Adapt to model chat with the Gemini chatbot,1 you basically write prompts, however this whitepaper focuses on writing prompts for the Gemini model within Vertex AI or by using the API, because by prompting the model

Then, we collect 1.5M conversational sessions, which encompass various domains such as math, code, writing, reasoning, safety, and more, to perform Supervised Fine-Tuning (SFT) for DeepSeek-V2 Chat (SFT) the initial version, we improve the data quality to mitigate hallucinatory responses and enhance writing proficiency. We fine-tune DeepSeek-V2 with 2 epochs, and the learning rate is set to 5 × 10−6. For capabilities. Moreover, the quality of SFT data is also crucial, especially for tasks involving writing or open-ended questions. Alignment Tax of Reinforcement Learning. During human preference alignment

other agents—see the Manager Pattern in the Orchestration section. Refund agent, Research agent, Writing agent. 9 A practical guide to building agents For example, here’s how you would equip the agent existing documents. Here’s a sample prompt illustrating this approach: Unset 1 “You are an expert in writing instructions for an LLM agent. Convert the following help center document into a clear set of instructions

, INFINITE, TRUE); if (ret == WAIT_OBJECT_0) { cout << " Thread " << GetCurrentThreadId() << "writing to database...\n" << endl; } else if (ret == WAIT_ABANDONED) { cout << "Thread failed ...\n" <<

level schedule Motivation 全各 “The overhead of writing warp-level schedule for TensorCore 。Work at the scheduling level: the less the better 。 The requirement

Performance is our focus next. We tvm.caLL_pure_intrin begin to do some work now. Such 本 站,可 as writing Tensorize to generate vec tvm,const(0， vrmpy instruction when we meet 人

brutal year for many in the capital markets and certainly for Amazon.com shareholders. As of this writing, our shares are down more than 80% from when I wrote you last year. At post-loss trough in Q3:01