1. Purpose of Project This project implements an advanced Retrieval Augmented Generation (RAG) workflow chatbot to enhance question-answering accuracy and reduce LLM hallucinations. It leverages LangGraph to create a stateful, multi-step process that includes document retrieval, relevance grading, and we...
1. Purpose of Project This project implements an advanced Retrieval Augmented Generation (RAG) workflow chatbot to enhance question-answering accuracy and reduce LLM hallucinations. It leverages LangGraph to create a stateful, multi-step process that includes document retrieval, relevance grading, and we...
We performed all of our experiments on a laptop with an 8th generation Intel Core i7 processor and 16GB of RAM. We also used the Tesla P100 GPUs provided by Google Colab Pro, which are available for a small monthly fee. Using this setup, the most costly techniques took 11 minutes to run...
many question answering (QA) systems over KBs were created in the last years. Building a QA system over KBs is difficult because there are many different challenges to be solved. In order to address these challenges, QA systems generally combine ...
different techniques are used to determine the Expected Answer Type (EAT), and thus understand its main intent. The EAT deeply depends on the question categories that we described in Section5.2.1. For example, it is clear that for questions starting with the word “when”, the EAT is a da...
supports multi-core processors and concurrency Provides a low learning curve Related Article:Golang Tutorial for Beginners 16. Why is Golang so popular? Here are the reasons why Golang is so popular among developers community. Open-source and easy-to-learn language ...
Developed based on several core principles, the pre-training and fine-tuning framework involves two stages: in the pre-training phase, the model is trained on a very large text dataset to learn a wide range of language patterns and structures. This stage is unsupervised, meaning it does not ...
What the makers of these CAD tools for modern FPGAs did is to put wrapper after wrapper over these core algorithms to interface them with their FPGA related fitters and simulators. No living person or animal really knows what is going on below the hood of these tools. Just look at the sh...
It not only overcomes the problem of over-generalization of the semantic information extracted by topic models when facing short questions with multi-levels labels, but also avoids the influence of noise vocabularies during semantic extracting of the questions. Then, based on the internal factors (i...
If a question requires multiple support evidence but can only be answered using join-based operations, it is referred to as a multi-hop question if the evidence is joined one by one and can be formulated as a direct straight chain (Fig. 1(b)), otherwise, it is referred to as a ...