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Source channel @githubtrending · Post #14993 · Jul 24

#jupyter_notebook Retrieval Augmented Generation (RAG) helps large language models (LLMs) answer questions using up-to-date or private information by connecting them to external data sources, unlike fine-tuning which retrains the model on specific data. RAG is useful when you need current, dynamic information without costly retraining, making it ideal for tasks like customer support or knowledge management. Fine-tuning is better for deep expertise in a specialized field but requires more data and effort. Using RAG lets you get accurate, relevant answers quickly by combining the model’s language skills with fresh, specific data, improving usefulness and reliability. https://github.com/langchain-ai/rag-from-scratch

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Addis Standard

@addisstandardeng · Post #21511 · 02/24/2026, 10:33 AM

#Commentary: From #Derg to #EPRDF to Present: #Ethiopia’s unfinished nation-state-building journey In this commentary, Merera Gudina traces Ethiopia’s persistent instability to failed state-building across the imperial, Derg, and EPRDF eras. He argues each collapse stemmed from rulers prioritizing personal power over the "equality of Ethiopian peoples" and their "thirst for development." Merera recounts how Emperor Haile Selassie’s 60-year reign ended ignominiously, even as hundreds of thousands perished in #Wollo, while the Derg, despite abolishing feudal landholding, succumbed to an "extreme lust for power," enforcing Stalinist "#Red_Terror" and destroying movements. The EPRDF era, meant to resolve the "nationalities question," became a 27-year "crude joke." Today, Ethiopia faces a "final frontier," requiring an end to "political theater" and "sham elections" for genuine unity. https://addisstandard.com/?p=55338