removed some examples

README.md

@@ -88,11 +88,6 @@ model = AutoModelForCausalLM.from_pretrained("sambanovasystems/BLOOMChat-176B-v1
 <bot>:
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-```
-<human>: Classify the sentiment of the following sentence into Positive, Neutral, or Negative. Do it on a scale of 1/10: How about the following sentence: It is raining outside and I feel so blue
-<bot>:
-```
-
 ```
 <human>: give a python code to open a http server in 8080 port using python 3.7
 <bot>:
@@ -136,23 +131,6 @@ Details:
 
 ```
 
-```
-<human>: Generate a table summarizing the options outlined in this email. 
-
-Team, we have to make a decision on the product plan for Goocrux v2. 
-
-The first option will take us 3 weeks of development, and will achieve performance of 80ms, but means that the UI has to change. 
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-The second option will take us 4 weeks of development, and will achieve performance of 60ms, without any UI change. 
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-The third option will take the longest -- 6 weeks of development, will achieve performance of 30ms, without any UI change. 
-
-# Table with four columns: (1) Option ID, (2) Development time, (3) Performance, (4) Require UI Change
-<bot>: Option ID	Development time	Performance	Require UI Change
-Option 1	3 weeks	80ms	Yes
-Option 2	4 weeks	60ms	No
-Option 3	6 weeks	30ms	No
-```
 ```
 <human>: Explain the difference between a proton and a neutron
 <bot>: A proton and a neutron are both subatomic particles, but they differ in several ways: