Update README.md (#26)

Author: deppp

README.md

@@ -18,7 +18,7 @@ through iterative learning. This learning process is influenced by their operati
 reflections. Users define the environment by providing a ground truth dataset. Every agent learns and applies its skills
 in what we refer to as a "runtime", synonymous with LLM.
 
-![Diagram of components](./docs/src/img/diagram.png "Diagram of components")
+![Training Agent Skill](./docs/src/img/training-agents-skill.png "Training Agent Skill")
 
 <!-- Offered as an HTTP server, users can interact with Adala via command line or RESTful API, and directly integrate its features in Python Notebooks or scripts. The self-learning mechanism leverages Large Language Models (LLMs) from providers like OpenAI and VertexAI. -->
 
@@ -178,6 +178,9 @@ print(predictions)
 - [QuestionAnsweringSkill](./examples/question_answering_skill.ipynb) – Answer questions based on a given context.
 - [TranslationSkill](./examples/translation_skill.ipynb) – Translate text from one language to another.
 - [TextGenerationSkill](./examples/text_generation_skill.ipynb) – Generate text based on a given prompt.
+
+![Executing Agent Skill](./docs/src/img/executing-agents-skill.png "Executing Agent Skill")
+
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