Update README.md

README.md

@@ -5,6 +5,13 @@ license: apache-2.0
 library_name: transformers
 tags:
 - python
+- java
+- cpp
+- sql
+- function calling
+- unit tests
+- causalLM
+- codeLLAMA modified archi
 - document
 - code
 - code2doc
@@ -29,17 +36,20 @@ widget:
 
 [pip library_etl](https://github.com/PipableAI/pip-library-etl.git)
 
+[linkedin_post](https://www.linkedin.com/posts/pipable%2Eai_github-pipableaipip-library-etl-this-activity-7179111129678327809-Pgxy?utm_source=share&utm_medium=member_desktop)
+
 ## What have we built?
 
 A 1.3 bn code documentation model that outperforms most models on documenting codes and making your in-house libs ready for LLM and RAG pipelines.
 We have also open sourced a [pip library_etl](https://github.com/PipableAI/pip-library-etl.git) for the same, together the lib and model can turn your codebase to functional parse tree ready to be consumed by LLMs to execute complex tasks.
 This model is also capable of generating SQL queries with accuracies on par with those of [pip-sql-1.3b](https://huggingface.co/PipableAI/pip-sql-1.3b), with additional capabilities of providing extra examples, instructions ,and column descriptions as context.
-This is a further trained version of pip-sql-1.3b.
+This is a further trained version of pip-sql-1.3b and performance comparable to GPT.
+
 
 ## How we built it?
 
 We used softmax cross entropy and a modified form of policy grad along with Q loss, optimized in an EM set up.
-Loss behaviour in the set up mentioned above - 
+The performance for the metioned tasks are comparable to much bigger LLMs and GPT-3.5
 
 ## License