diff --git a/pages/interns/yussef_ressaissi/README.md b/pages/interns/yussef_ressaissi/README.md
index c805ed90..410cc750 100644
--- a/pages/interns/yussef_ressaissi/README.md
+++ b/pages/interns/yussef_ressaissi/README.md
@@ -15,13 +15,18 @@ Goal: Evaluate and improve language models for summarization in Slovak medical o
 
 Tasks:
 
-- Get familiar with basic tools and prepare working environment: HF transformers, datasets, lm-evaluation-harness, HF trl
-- Read several recent papers about summarization using LLM and write a report.
-- Get familiar how to perform and evaluate document summarization using language models in Slovak.
-- Pick summarization datasets and models. Evaluate several models for evaluation using ROUGE and BLEU metrics.
-- Describe the experiments. Summarize results in a table. Describe the results. 
-- Improve performance of a languge model. Use more data. Prepare a domain-oriented dataset and finetune a model. Maybe generate artificial data to imporve summarization.
-- Run new expriments and write down the results.
-- Publish the fine-tuned models in HF HUB. Publish the paper from the project.
+1. Get familiar with basic tools 
+  -  and prepare working environment: HF transformers, datasets, lm-evaluation-harness, HF trl
+  - Read several recent papers about summarization using LLM and write a report.
+  - Get familiar how to perform and evaluate document summarization using language models in Slovak.
+2. Make a comparison experiment
+  - Pick summarization datasets and models. Evaluate several models for evaluation using ROUGE and BLEU metrics.
+  - Describe the experiments. Summarize results in a table. Describe the results. 
+3. Improve performance of a languge model. 
+  - Use more data. Prepare a domain-oriented dataset and finetune a model. Maybe generate artificial data to imporve summarization.
+  - Run new expriments and write down the results.
+4. Report and disseminate
+  - Prepare a final report with analysis, experiments and conclusions.
+  - Publish the fine-tuned models in HF HUB. Publish the paper from the project.