#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
The overall goal of Infection Prevention & Control is to maintain an environment of care that minimises risks of infection for patients, staff & visitors.
These #IPC guidelines must be practised by all #HCWs in public and private primary, secondary & tertiary healthcare facilities.
Read more in the Nigerian Manual of Infection Prevention and Control:
https://ncdc.gov.ng/themes/common/docs/protocols/296_1649340294.pdf
The overall goal of Infection Prevention & Control is to maintain an environment of care that minimises risks of infection for patients, staff & visitors.
These #IPC guidelines must be practised by all #HCWs in public and private primary, secondary & tertiary healthcare facilities.
Read more in the Nigerian Manual of Infection Prevention and Control:
https://ncdc.gov.ng/themes/common/docs/protocols/296_1649340294.pdf
The overall goal of Infection Prevention & Control is to maintain an environment of care that minimises risks of infection for patients, staff & visitors
This #IPC guideline for viral haemorrhagic fevers must be practised by all #HCWs in public & private primary, secondary & tertiary healthcare facilities.
🔗
https://ncdc.gov.ng/themes/common/docs/protocols/341_1707300274.pdf
#TakeResponsibility to #StaySafe