Update README.md

README.md

@@ -12,8 +12,6 @@ library_name: transformers
 tags:
 - text2text-generation
 widget:
-- text: 'Translate to German:  My name is Arthur'
-  example_title: Translation
 - text: >-
     Teapot is an open-source small language model (~800 million parameters) fine-tuned on synthetic data and optimized to run locally on resource-constrained devices such as smartphones and CPUs.
     Teapot is trained to only answer using context from documents, reducing hallucinations.
@@ -22,33 +20,42 @@ widget:
     TeapotLLM can be hosted on low-power devices with as little as 2GB of CPU RAM such as a Raspberry Pi.
     Teapot is a model built by and for the community.
 
-    Tell me about teapotllm 
+
+    What devices can teapot run on?
   example_title: Question Answering
 - text: >-
-    Q: Can Geoffrey Hinton have a conversation with George Washington? Give the
-    rationale before answering.
-  example_title: Logical reasoning
-- text: Please answer the following question. What is the boiling point of Nitrogen?
-  example_title: Scientific knowledge
-- text: >-
-    Answer the following yes/no question. Can you write a whole Haiku in a
-    single tweet?
-  example_title: Yes/no question
-- text: >-
-    Answer the following yes/no question by reasoning step-by-step. Can you
-    write a whole Haiku in a single tweet?
-  example_title: Reasoning task
-- text: 'Q: ( False or not False or False ) is? A: Let''s think step by step'
-  example_title: Boolean Expressions
+    Teapot is an open-source small language model (~800 million parameters) fine-tuned on synthetic data and optimized to run locally on resource-constrained devices such as smartphones and CPUs.
+    Teapot is trained to only answer using context from documents, reducing hallucinations.
+    Teapot can perform a variety of tasks, including hallucination-resistant Question Answering (QnA), Retrieval-Augmented Generation (RAG), and JSON extraction.
+    TeapotLLM is a fine tune of flan-t5-large that was trained on synthetic data generated by Deepseek v3
+    TeapotLLM can be hosted on low-power devices with as little as 2GB of CPU RAM such as a Raspberry Pi.
+    Teapot is a model built by and for the community.
+
+
+    Tell me about teapotllm 
+  example_title: Summarization Answering
 - text: >-
-    The square root of x is the cube root of y. What is y to the power of 2, if
-    x = 4?
-  example_title: Math reasoning
+    Teapot is an open-source small language model (~800 million parameters) fine-tuned on synthetic data and optimized to run locally on resource-constrained devices such as smartphones and CPUs.
+    Teapot is trained to only answer using context from documents, reducing hallucinations.
+    Teapot can perform a variety of tasks, including hallucination-resistant Question Answering (QnA), Retrieval-Augmented Generation (RAG), and JSON extraction.
+    TeapotLLM is a fine tune of flan-t5-large that was trained on synthetic data generated by Deepseek v3
+    TeapotLLM can be hosted on low-power devices with as little as 2GB of CPU RAM such as a Raspberry Pi.
+    Teapot is a model built by and for the community.
+
+
+    Extract the number of parameters
+  example_title: Information Extraction
 - text: >-
-    Premise:  At my age you will probably have learnt one lesson. Hypothesis: 
-    It's not certain how many lessons you'll learn by your thirties. Does the
-    premise entail the hypothesis?
-  example_title: Premise and hypothesis
+    Teapot is an open-source small language model (~800 million parameters) fine-tuned on synthetic data and optimized to run locally on resource-constrained devices such as smartphones and CPUs.
+    Teapot is trained to only answer using context from documents, reducing hallucinations.
+    Teapot can perform a variety of tasks, including hallucination-resistant Question Answering (QnA), Retrieval-Augmented Generation (RAG), and JSON extraction.
+    TeapotLLM is a fine tune of flan-t5-large that was trained on synthetic data generated by Deepseek v3
+    TeapotLLM can be hosted on low-power devices with as little as 2GB of CPU RAM such as a Raspberry Pi.
+    Teapot is a model built by and for the community.
+
+
+    How many parameters is Deepseek? 
+  example_title: Hallucination Resistance 
 base_model:
 - google/flan-t5-large
 pipeline_tag: text2text-generation