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According to Ars Technica, "RAG is a way of improving LLM performance, in essence by blending the LLM process with a web search or other document look-up process to help LLMs stick to the facts." This method helps reduce AI hallucinations , which have led to real-world issues like chatbots inventing policies or lawyers citing nonexistent legal ...
Retrieval-augmented generation (RAG) is a technique that enables generative artificial intelligence (Gen AI) models to retrieve and incorporate new information. [1] It modifies interactions with a large language model (LLM) so that the model responds to user queries with reference to a specified set of documents, using this information to supplement information from its pre-existing training data.
Mako is a template library written in Python. Mako is an embedded Python (i.e. Python Server Page) language, which refines the familiar ideas of componentized layout and inheritance. The Mako template is used by Reddit. [4] It is the default template language included with the Pylons [5] and Pyramid [6] web frameworks.
You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.
Cheetah (or CheetahTemplate) is a template engine that uses the Python programming language.It can be used standalone or combined with other tools and frameworks. It is often used for server-side scripting and dynamic web content by generating HTML, but can also be used to generate source code.
The LLM is then instructed to formulate an answer. This process ensures efficient and relevant document retrieval based on the semantic content of queries. Polski: Diagram ilustrujący dwuetapowy proces wyszukiwania dokumentów przy użyciu gęstych osadzeń.
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