✨ agentic coding | AI Coding Glossary ✨
📖 An approach to software development in which AI agents plan, write, run, and iteratively improve code.
🏷️ #Python
📖 An approach to software development in which AI agents plan, write, run, and iteratively improve code.
🏷️ #Python
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✨ vibe coding | AI Coding Glossary ✨
📖 An AI-assisted programming style where a developer describes goals in natural language and accepts model-generated code with minimal manual editing.
🏷️ #Python
📖 An AI-assisted programming style where a developer describes goals in natural language and accepts model-generated code with minimal manual editing.
🏷️ #Python
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✨ prompt | AI Coding Glossary ✨
📖 The input text or a structured message that tells a generative model what to do.
🏷️ #Python
📖 The input text or a structured message that tells a generative model what to do.
🏷️ #Python
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✨ transformer | AI Coding Glossary ✨
📖 A neural network model that uses self-attention to handle sequences without recurrence or convolutions.
🏷️ #Python
📖 A neural network model that uses self-attention to handle sequences without recurrence or convolutions.
🏷️ #Python
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✨ machine learning | AI Coding Glossary ✨
📖 A subfield of AI that builds models that improve their performance on a task by learning patterns from data.
🏷️ #Python
📖 A subfield of AI that builds models that improve their performance on a task by learning patterns from data.
🏷️ #Python
✨ Quiz: Polars vs pandas: What's the Difference? ✨
📖 Take this quiz to test your knowledge of the Polars vs pandas tutorial and review the key differences between these open-source Python libraries.
🏷️ #intermediate #data-science #python
📖 Take this quiz to test your knowledge of the Polars vs pandas tutorial and review the key differences between these open-source Python libraries.
🏷️ #intermediate #data-science #python
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✨ neural network | AI Coding Glossary ✨
📖 A computational model composed of layered, interconnected units that learn learn input-to-output mappings.
🏷️ #Python
📖 A computational model composed of layered, interconnected units that learn learn input-to-output mappings.
🏷️ #Python
✨ generative model | AI Coding Glossary ✨
📖 A model that learns a data distribution so it can generate new samples or assign probabilities to observations.
🏷️ #Python
📖 A model that learns a data distribution so it can generate new samples or assign probabilities to observations.
🏷️ #Python
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✨ prompt engineering | AI Coding Glossary ✨
📖 The practice of designing and refining prompts for generative models.
🏷️ #Python
📖 The practice of designing and refining prompts for generative models.
🏷️ #Python
✨ training | AI Coding Glossary ✨
📖 The process of fitting a model’s parameters to data by minimizing a loss function.
🏷️ #Python
📖 The process of fitting a model’s parameters to data by minimizing a loss function.
🏷️ #Python
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✨ system prompt | AI Coding Glossary ✨
📖 A message that establishes a model’s role, goals, constraints, and style before user inputs.
🏷️ #Python
📖 A message that establishes a model’s role, goals, constraints, and style before user inputs.
🏷️ #Python
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✨ hallucination | AI Coding Glossary ✨
📖 When a generative model produces confident but false or unverifiable content and presents it as fact.
🏷️ #Python
📖 When a generative model produces confident but false or unverifiable content and presents it as fact.
🏷️ #Python
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Forwarded from Machine Learning
📌 Python 3.14 and the End of the GIL
🗂 Category: PROGRAMMING
🕒 Date: 2025-10-18 | ⏱️ Read time: 16 min read
Exploring the opportunities and challenges of a GIL-free Python
🗂 Category: PROGRAMMING
🕒 Date: 2025-10-18 | ⏱️ Read time: 16 min read
Exploring the opportunities and challenges of a GIL-free Python
✨ temperature | AI Coding Glossary ✨
📖 A decoding parameter that rescales model logits before sampling.
🏷️ #Python
📖 A decoding parameter that rescales model logits before sampling.
🏷️ #Python
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✨ context engineering | AI Coding Glossary ✨
📖 The systematic design and optimization of the information given to a model at inference time so it can answer effectively.
🏷️ #Python
📖 The systematic design and optimization of the information given to a model at inference time so it can answer effectively.
🏷️ #Python
Forwarded from Free Online Courses
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