#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
CRPF QRT teams have taken over Security of Nabanna & other Key Govt HQs in West Bengal amid the power transition and have sealed all movements of Government Files, orders from Union Home Ministry
#Policy
West Bengal Chief Secretary orders all Department Secretaries and Head of Offices to ensure that no important paper or file is removed or damaged or taken out from the offices. #Policy
🚨 Indian Govt invokes Force Majeure for contracts hit by West Asia disruptions
👉🏻 West Asia situation treated as war-like event for contracts
👉🏻 Contractors can claim relief for delays linked to disruptions
👉🏻 Govt may grant 2–4 month extension case-by-case
👉🏻 No penalties or liquidated damages for eligible delays
👉🏻 Applies across goods, services & works contracts
👉🏻 Valid only if no prior default before 27 Feb 2026
👉🏻 Contracts delayed beyond 90 days may be terminated without penalty #Policy