Update README.md

README.md

@@ -3,26 +3,26 @@ license: apache-2.0
 inference: false  
 ---
 
-# SLIM-TOPICS
+# SLIM-TAGS-TOOL
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-**slim-topics** is part of the SLIM ("**S**tructured **L**anguage **I**nstruction **M**odel") model series, consisting of small, specialized decoder-based models, fine-tuned for function-calling.  
+**slim-tags-tool** is part of the SLIM ("**S**tructured **L**anguage **I**nstruction **M**odel") model series, consisting of small, specialized decoder-based models, fine-tuned for function-calling.  
 
-slim-sentiment has been fine-tuned for **topic analysis** function calls, generating output consisting of a python dictionary corresponding to specified keys, e.g.:  
+slim-sentiment has been fine-tuned for **generating relevant extractive summary tags** function calls, generating output consisting of a python dictionary corresponding to specified keys, e.g.:  
 
-&nbsp;&nbsp;&nbsp;&nbsp;`{"topics": ["..."]}`
+&nbsp;&nbsp;&nbsp;&nbsp;`{"tags": ["tag1", "tag2", "tag3", ... ]}`
 
 
 SLIM models are designed to generate structured outputs that can be used programmatically as part of a multi-step, multi-model LLM-based automation workflow.  
 
-Each slim model has a 'quantized tool' version, e.g.,  [**'slim-topics-tool'**](https://huggingface.co/llmware/slim-topics-tool).  
+Each slim model has a 'quantized tool' version, e.g.,  [**'slim-tags-tool'**](https://huggingface.co/llmware/slim-tags-tool).  
 
 
 ## Prompt format:
 
 `function = "classify"`  
-`params = "topics"`  
+`params = "tags"`  
 `prompt = "<human> " + {text} + "\n" + `  
 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp; &nbsp;`"<{function}> " + {params} + "</{function}>" + "\n<bot>:"`