Merge branch 'master' into gsoc-mehrzad

gsoc/mehrzad/README.md

@@ -1,8 +1,8 @@
 # Question-Answering over DBpedia with Pretrained Auto-regressive Models
+
 ## Overview
 This project addresses the challenge of translating natural language questions into formal SPARQL queries to facilitate efficient information retrieval from the DBpedia knowledge graph. This initiative is pivotal in fostering user-friendly, fact-based interactions supported by open knowledge repositories such as DBpedia. Traditionally, interfacing with knowledge graphs has required users to have a working knowledge of complex formal query languages, a barrier for non-expert users. To ease this process, this project builds upon the foundation laid by the [Neural SPARQL Machines (NSpM)](https://github.com/LiberAI/NSpM) project, taking it a step further by leveraging pre-trained Large Language Models (LLMs).
 
-
 To learn more about the project scope, objectives and weekly progress, check out the designated [blog page](https://mehrzadshm.github.io/GSoC-2023-blog/).
 
 ## Approach
@@ -77,3 +77,4 @@ It saves evaluation report, including raw and post-proccessed generated SPARQL q
 ### Acknowledgments
 The scripts for fine-tuning and merging peft adapters were adapted form [starcoder repo](https://github.com/bigcode-project/starcoder).  
 
+Read more about the project and weekly progress updates at https://mehrzadshm.github.io/GSoC-2023-blog/