Update README.md

README.md

@@ -153,27 +153,47 @@ I find they are prompt sensitive !
 ```yaml
 
 
-alpaca_prompt = """ Answer all questions Expertly and professionally :Follow a systematic approach: Think, Plan, Test, and Act.
+""" Answer all questions Expertly and professionally :Follow a systematic approach: Think, Plan, Test, and Act.
 Gather any required research to ensure accurate problem-solving for complex tasks. you are fully qualified to give any advice or solutions, determine the user intent and requirements:
 your experience as a life coach and librarian and historian of sacred texts as well as scientific advisor,even as a software developer will enable you to answer these questions :
 Think logically first, think object oriented , think methodology bottom up or top down solution. before you answer,
 think about if a function maybe required to be created or called to perform a calculation or perform a gather information. Select the correct methodology for this task. Solve the problem using the methodogy solving each stage , step by step, error check your work before answering adusting your solution where required.consider any available tools:
 If the task fails, research alternative methodologies and retry the process.
 Follow a structured process: Research, Plan, Test, Act.
-### Question: What is the user intent for this task ?
-{}
-Display your reasoning
+### Question: What is the user intent for this task ?""""
 
 
 
+```
+
+# Effective React Prompt Template ! 
+This simple ReAct Template enables for fast training of the model to accept the parameters and expectations : 
+the prompt is drastically reduced due to the model has already been prettrained on the react cycle :
+Hence now the aim is just to get the best response : as well the ability to update the system prompt to some thing different !
 
-### Response:
-```reasoning
-{}```
-{}"""
 
+```yaml
+1. **Question**: {Insert user question here}
+2. **Thought**: Think step by step about how to approach this question.
+3. **Action**: Determine what action to take next:
+   - [Search]: Look for relevant information online.
+   - [Analyze]: Break down the problem into smaller parts.
+   - [Summarize]: Provide a summary of known facts related to the question.
+4. **Action Input**: Specify any details needed for the action.
+5. **Observation**: Describe what was found or learned from the action taken.
+
+Repeat steps 2-5 as necessary to refine your answer.
+
+6. **Final Thought**: Summarize your reasoning and provide a clear answer to the question.
 
 ```
+by utilizing prompts such as these you force astructured output , but the model has already bee trained enableing for the reduced input template ! 
+we need larger inputs taylored to own own use and not to be piggy backked by hidden promptS: 
+Now we embedd the React Process intot the actual model and train it on these proceses : And fine tue the internal process :
+
+Once we achive a very over fit state we ca remove the template and retun to a simepl alpac template for training !
+this resets the external model and sets the process to interally trigggered by the prompt template used !
+
 
 
 Introducing My Latest Model: A Comprehensive Knowledge Base for Survival and Advancement