diff --git a/README.md b/README.md
index 59fa06c..a58653b 100644
--- a/README.md
+++ b/README.md
@@ -370,7 +370,7 @@ This pandect (πανδέκτης is Ancient Greek for encyclopedia) was created
 * 🎥 [In Search of Best Practices for NLP Projects](https://www.youtube.com/watch?v=0S9iai4Ld4I) [[Slides](https://www.dropbox.com/s/4fymdzz4yh3mlyz/NLP_Best_Practices_Bilan.pdf?dl=0), Dec. 2020]
 * 🎥 [EMNLP 2020: High Performance Natural Language Processing](https://slideslive.com/38940826) by Google Research, [Recording](https://slideslive.com/38940826), Nov. 2020]
 * 📙 [Practical Natural Language Processing](https://www.amazon.com/Practical-Natural-Language-Processing-Pragmatic/dp/1492054054) - A Comprehensive Guide to Building Real-World NLP Systems [Book, June 2020]
-* 📙 [How to Structure and Manage NLP Projects](https://neptune.ai/blog/how-to-structure-and-manage-nlp-projects-templates) [Blog, May 2021]
+* 📙 [How to Structure and Manage NLP Projects](https://web.archive.org/web/20240317020159/https://neptune.ai/blog/how-to-structure-and-manage-nlp-projects-templates) [Blog, May 2021]
 * 📙 [Applied NLP Thinking](https://explosion.ai/blog/applied-nlp-thinking) - Applied NLP Thinking: How to Translate Problems into Solutions [Blog, June 2021]
 * 🎥 [Introduction to NLP for Industry Use](https://www.youtube.com/watch?v=VRur3xey31s) - DataTalksClub presentation on Introduction to NLP for Industry Use [Recording, December 2021]
 * 📙 [Measuring Embedding Drift](https://arize.com/blog/embedding-drift/) - Best practices for monitoring drift of NLP models [Blog, December 2022]
@@ -403,8 +403,8 @@ Additionally, there are two more components that are not as prevalent for NLP an
 #### Reading Material
 * 📙 [Machine Learning Operations (MLOps): Overview, Definition, and Architecture](https://arxiv.org/abs/2205.02302) [Paper, May 2022]
 * 📙 [Requirements and Reference Architecture for MLOps:Insights from Industry](https://www.techrxiv.org/doi/full/10.36227/techrxiv.21397413.v1) [Paper, Oct 2022]
-* 📙 [MLOps: What It Is, Why it Matters, and How To Implement It](https://neptune.ai/blog/mlops-what-it-is-why-it-matters-and-how-to-implement-it-from-a-data-scientist-perspective) by Neptune AI [Blog, July 2021]
-* 📙 [Best MLOps Tools You Need to Know as a Data Scientist](https://neptune.ai/blog/best-mlops-tools)  by Neptune AI [Blog, July 2021]
+* 📙 [MLOps: What It Is, Why it Matters, and How To Implement It](https://web.archive.org/web/20210620182841/https://neptune.ai/blog/mlops-what-it-is-why-it-matters-and-how-to-implement-it-from-a-data-scientist-perspective) by Neptune AI [Blog, July 2021]
+* 📙 [Best MLOps Tools You Need to Know as a Data Scientist](https://web.archive.org/web/20230529032228/https://neptune.ai/blog/best-mlops-tools)  by Neptune AI [Blog, July 2021]
 * 📙 [State of MLOps 2021](https://valohai.com/state-of-mlops/#introduction) by Valohai [Blog, August 2021]
 * 📙 [The MLOps Stack](https://valohai.com/blog/the-mlops-stack/) by Valohai [Blog, October 2020]
 * 📙 [The Rapid Evolution of the Canonical Stack for Machine Learning](https://medium.com/@ODSC/the-rapid-evolution-of-the-canonical-stack-for-machine-learning-21b37af9c3b5) [Blog, July 2021]