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Prompt Engineering
Dapatkan hasil yang andal dari generative AI. Pelajari bagaimana large language models menghasilkan teks, lima prinsip di balik setiap prompt yang baik, few-shot dan structured output, function calling, retrieval-augmented generation, agents otonom, dan bagaimana model diffusion mengubah prompt menjadi gambar. Anda selesai dengan menghubungkan teks, gambar, dan agents menjadi satu aplikasi yang berfungsi.
10 pelajaran5.8h praktik11 bahasa
Mulai belajar gratisPrompt Engineering kursus10 pelajaran, berurutan
- 130 mnt
Lima Prinsip Prompting
Giving directionSpecifying formatProviding examplesEvaluating qualityDividing labor - 230 mnt
Bagaimana Large Language Model Menghasilkan Teks
Tokens and tokenizationNext-token predictionTemperature and top-p samplingContext windowWhy models hallucinate - 335 mnt
Praktik Standar untuk Pembuatan Teks
Prompt formatting and delimitersSystem, user, and assistant rolesFew-shot promptingParsing structured output like JSON - 435 mnt
Prompt Templates dan Function Calling
Prompt templates with variablesSeparating template from dataFunction calling and tool schemasReading a tool call and returning a result - 540 mnt
Vector Database dan Retrieval-Augmented Generation
Embeddings and vector similarityChunking documentsVector databases and nearest-neighbor searchRetrieval-augmented generationGrounding answers with citations - 640 mnt
Autonomous Agents: Memory dan Tools
The agent loop of reason, act, observeGiving an agent toolsShort-term and long-term memoryStopping conditions and guardrails - 730 mnt
Bagaimana Diffusion Models Menghasilkan Gambar
Diffusion as iterative denoisingText conditioning of the imageSeeds and reproducibilitySampling steps and guidance scale - 835 mnt
Praktik Standar untuk Generasi Gambar
Prompt structure of subject, medium, style, and lightingArt styles and artist or era modifiersComposition and camera modifiersNegative prompts and aspect ratio - 935 mnt
Teknik Gambar Lanjutan: Inpainting, Outpainting, dan ControlNet
Image-to-image generationInpainting with masksOutpainting to extend a canvasControlNet for pose, depth, and edge guidance - 1040 mnt
Membangun Aplikasi Bertenaga AI
Composing text, images, and agents into a workflowOrchestration and chaining stepsEvaluation and guardrailsCost, latency, and failure handling
Pelajari Prompt Engineering dalam bahasamu
Setiap pelajaran, kuis, dan balasan tutor tampil dalam bahasamu. Tutor AI menjawab dalam bahasa yang kamu pakai.
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