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AlbanP
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ReadMe: Fixed typo
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README.md

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@@ -44,8 +44,8 @@ class SimpleWayOfThinking:
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task = Information(f"{self.task}") # inject information to the LLM
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for i in range(4):
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step_nb = i + 1
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reflexion = Sentence("Providing a reflexion about the task.", step_nb)
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consequence = Sentence("Providing the consequence of the reflexion.", step_nb)
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reflection = Sentence("Providing a reflection about the task.", step_nb)
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consequence = Sentence("Providing the consequence of the reflection.", step_nb)
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evaluate = Sentence("Evaluating the consequence.", step_nb)
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point_of_view = Sentence(f"Providing a point of view about the task different than {povs}", step_nb)
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point_of_view_qualification = Word(f"Qualifying the point of view, must choose a word different of: {povs}", step_nb)
@@ -71,8 +71,8 @@ You are a simple thinker. You have a task to perform.
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Always looking for the best way to perform it.
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#TASK : f'{self.task}'
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#REFLEXION : Providing a reflexion about the task. (Response format: a sentence)
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#CONSEQUENCE : Providing the consequence of the reflexion. (Response format: a sentence)
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#REFLEXION : Providing a reflection about the task. (Response format: a sentence)
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#CONSEQUENCE : Providing the consequence of the reflection. (Response format: a sentence)
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#EVALUATE : Evaluating the consequence. (Response format: a sentence)
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#POINT_OF_VIEW : f'Providing a point of view about the task different than {povs}' (Response format: a sentence)
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#IMPORTANT : I need to be more creative!
@@ -125,20 +125,20 @@ We can use ReAct prompting with LLM.
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### ReAct example:
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```You are in a loop of though.
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Question: Here is the question
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Reflexion: Thinking about the question
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Observation: Providing observation about the Reflexion
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Analysis: Formulating an analysis about your current reflexion
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Conclusion: Conclude by a synthesis of the reflexion.
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Reflection: Thinking about the question
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Observation: Providing observation about the Reflection
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Analysis: Formulating an analysis about your current reflection
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Conclusion: Conclude by a synthesis of the reflection.
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Question: {user_input}
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Reflexion:
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Reflection:
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```
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In that case, the LLM will follow the provided steps: `Reflexion,Observation,Analysis,Conclusion`
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In that case, the LLM will follow the provided steps: `Reflection,Observation,Analysis,Conclusion`
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`Thinking about the quesion` is the **Noesis** of `Reflexion`
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`Thinking about the quesion` is the **Noesis** of `Reflection`
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The content *generated* by the LLM corresponding to `Reflexion` is the **Noema**.
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The content *generated* by the LLM corresponding to `Reflection` is the **Noema**.
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### Noema let you write python code that automagically:
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1. Build the ReAct prompt
@@ -326,7 +326,7 @@ The `LanguageName` type provide a way to generate `LanguageName` code
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### Information
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The type Information is useful to insert some context to the LLM at the right time in the reflexion process.
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The type Information is useful to insert some context to the LLM at the right time in the reflection process.
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| Noema Type | Python Type | Usage |
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|-----------|-----------|-----------|
@@ -379,7 +379,7 @@ print(nb_letter)
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# {'s': 1, 't': 1, 'r': 3, 'a': 1, 'w': 1, 'b': 1, 'e': 1, 'y': 1}
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```
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### Visualisation
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### Visualization
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Enabling reflection visualization with `write_graph = True` in the Subject init create a PlantUML and Mermaid diagram respectively in `diagram.puml` and `diagram.mmd`
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