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Category: How-To Guides
Data Labeling Best Practices for High-Quality Training ...
A beginner's guide to data labeling best practices. Learn how to create accurate training data for AI with clear guidelines, quali...
Using LangChain and Tooling for Real Apps (Beginner)
A beginner-friendly guide to using LangChain to build AI-powered apps. Learn step-by-step how to connect language models, tools, a...
Vector Search vs. Keyword Search: When to Use Each
Learn the key differences between vector and keyword search, when to use each approach, and how to choose the right search technol...
Prompt Engineering Best Practices for Better Outputs
Learn prompt engineering best practices to get better results from AI tools. Beginner-friendly guide with templates, examples, and...
Fine-Tuning vs. Prompting: Practical Pros and Cons
Learn when to use fine-tuning vs prompting for AI models. Clear comparison of costs, implementation difficulty, and real-world use...
Embeddings and Vector Databases: A Beginner Guide
Learn embeddings and vector databases in simple terms. Discover how AI represents meaning, stores similar concepts, and enables se...
Retrieval-Augmented Generation (RAG) Explained Simply
Learn what Retrieval-Augmented Generation (RAG) is in simple terms. Discover how RAG combines AI knowledge with external informati...
Building a Simple AI Chatbot Without Coding
Learn how to create your own AI chatbot without any programming. Step-by-step guide using no-code platforms, comparison of tools, ...
How to Use AI for Bug Fixing and Code Reviews
Learn beginner-friendly AI bug fixing and code review techniques. Step-by-step guide using ChatGPT, GitHub Copilot, and free AI to...
Code Writing with AI: Copilots, Assistants, and Tools C...
Complete beginner's guide to AI code writing tools. Compare GitHub Copilot, Amazon CodeWhisperer, Tabnine, Codeium and more. Learn...