#jupyter_notebook#ai#llm#llms#multi_modal#openai#python#rag
Retrieval-Augmented Generation (RAG) is a technique that helps improve the accuracy of large language models by fetching relevant information from databases or documents. This approach ensures that the model's responses are based on up-to-date and accurate data, reducing errors and "hallucinations" where the model might provide false information. For users, RAG offers more reliable and trustworthy responses, allowing them to verify the sources used to generate those responses. This method also saves resources by avoiding the need to retrain models with new data.
https://github.com/FareedKhan-dev/all-rag-techniques
Grand #Ethiopian Renaissance Dam: how #Africa’s largest hydropower project Is powering #Ethiopia’s future
A detailed examination of the Grand Ethiopian Renaissance Dam – its construction, specifications, commissioning, regional impact, and remaining challenges.
The Grand Ethiopian Renaissance Dam (#GERD) is the largest hydropower project in Africa. Located on the #Blue_Nile in Ethiopia’s #Benishangul-Gumuz region, about 14km from the Sudanese border, the project has been delivered by Ethiopian Electric Power (#EEP) with major civil works undertaken by #Webuild Group (formerly #Salini Impregilo).
The objective of the dam is to increase Ethiopia’s electricity generation capacity, reduce dependence on imported energy, and support long-term industrial and economic development.
Construction began in 2011, and Ethiopia officially inaugurated......
Read more: https://www.waterpowermagazine.com/analysis/grand-ethiopian-renaissance-dam-how-africas-largest-hydropower-project-is-powering-ethiopias-future/?cf-view