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Learn how ROUGE evaluates LLM-generated text, compares with other metrics, and implements it in Python for NLP tasks.
Learn how to implement the new Chain of Draft prompting method using Gemini and Groq for efficient AI-driven content generation.
Find out why the updated GPT-4o is preferred over GPT-4.5 with its intuitive features and improved coding capabilities.
Explore how reranker for RAG systems by refining results, reducing hallucinations, and improving relevance and accuracy.
Learn to build a multimodal RAG with Gemma 3, Docling, LangChain, and Milvus to process and query text, tables, and images.
Check out these interesting and out-of-the-box native image generation prompts to experience the visual magic of GPT-4o on ChatGPT!
Learn how to build a structured Multi-Agent Research Assistant System using Pydantic for efficient data validation and collaboration.
Learn how LangMem SDK enables AI agents to store long-term memory, adapt to users, and improve interactions over time.
OpenAI MCP Integration enables seamless, standardized links between AI models and data sources. Find out how to set it up here.
Learn how to use Google's latest Python library of GenAI tools, Gen AI Toolbox for Databases, to interact with your SQL files.
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