Generative AI применения на собеседовании Data Scientist
Карьерник — Duolingo для аналитиков: 10 минут в день тренируй SQL, Python, A/B, статистику, метрики и ещё 3 темы собеса. 1500+ вопросов в Telegram-боте. Бесплатно.
Содержание:
Зачем разбирать на собесе
GenAI — топ-1 тема 2024-2026. На собесе DS: «когда GenAI», «production challenges».
Text generation
Use cases:
- Chatbots, customer support.
- Content creation (marketing, blog posts).
- Summarization.
- Translation.
- Code completion (via specialized models).
- Email drafting.
Models. GPT-4/5, Claude 3.5, Gemini 2, Llama 3.
Patterns:
- Pure prompt. «Write blog post about X».
- RAG. With retrieval — grounded answer.
- Chain-of-thought. «Think step by step».
- Function calling. Output structured JSON for tool use.
Image generation
Models. Stable Diffusion, DALL-E 3, Midjourney, Imagen 3, Flux.
Use cases:
- Marketing creative.
- Stock photo replacement.
- Concept art (gaming, design).
- Personalized product images.
Patterns:
- Text-to-image. Standard.
- Image-to-image. Modify existing.
- Inpainting. Replace part.
- ControlNet. Pose / depth control.
- LoRA. Style fine-tuning.
Code generation
Models. GitHub Copilot (GPT-4-based), Cursor (Claude), DeepSeek-Coder, Qwen-Coder.
Use cases:
- IDE completion.
- Code review (catch bugs).
- Test generation.
- Refactoring suggestions.
- Documentation.
Eval. HumanEval, MBPP, custom benchmarks.
Audio generation
TTS. ElevenLabs, OpenAI TTS, Tortoise.
Music. Suno, Udio.
Voice cloning. ElevenLabs.
Use cases:
- Podcast voiceover.
- Game NPC voices.
- Audiobook generation.
- Music for content.
Video generation
Models. Sora (OpenAI), Veo (Google), Kling, Runway Gen-3.
Use cases:
- Marketing videos.
- Storyboarding.
- Effects in films.
Limitations в 2026:
- Длина (несколько секунд).
- Consistency сложно.
- Cost огромный.
Production patterns
Cost management. Cache common queries. Use cheaper models для простых задач, expensive — для critical.
Latency. Streaming responses. Smaller models on edge.
Quality. Human review для high-stakes. Automatic eval для batch.
Safety. Content filters input + output. Prompt injection defenses.
Compliance. Source attribution для generated content (regulatory).
Связанные темы
- Stable Diffusion и GAN для DS
- BERT vs GPT для DS
- AI agents для DS
- Hallucinations и LLM evals для DS
- Подготовка к собесу Data Scientist
FAQ
Это официальная информация?
Нет. Статья основана на текущем landscape GenAI на 2026.
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