Build AI Apps with Open-Source Models: NLP, Chatbots, Code Generation, Summarization, Automation & More(AI)
InstructorSchool of AIComidoc has tracked 32 coupons for this course since 2025, last checked 3d ago. On average, a new coupon appears roughly every 10 days.
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| JULFREE03 | 100% off | Expired | ~29 daysRan full term | |
| JUNFREE01 | 100% off | Expired | ~27 daysRan full term | |
| JUNFREE02 | 100% off | Expired | ~28 daysRan full term | |
| JUNFREE03 | 100% off | Expired | ~30 daysRan full term |
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The curriculum utilizes a wide range of specific model architectures, including Mistral, LLaMA 3, Deepseek R1, Phi-2, Qwen 2.5, and Granite 3.2, for different specialized tasks.
Instruction includes practical demonstrations of using FastAPI to set up Python REST APIs for AI-driven applications.
Some signals indicate that projects follow a similar pattern, primarily differing only by the specific model or prompt used.
There is a lack of detailed information regarding specific Ollama parameters used to calibrate or fine-tune model responses.
The curriculum aligns well with the stated goals of building local AI applications using Python and Ollama.