PacificAI · chakravarthik27 · Jul 15, 2024 · Jul 9, 2024 · Jul 9, 2024 · Jul 9, 2024
diff --git a/demo/tutorials/llm_notebooks/Swapping_Drug_Names_Test.ipynb b/demo/tutorials/llm_notebooks/Swapping_Drug_Names_Test.ipynb
diff --git a/demo/tutorials/misc/Evaluation_with_Prometheus_Eval.ipynb b/demo/tutorials/misc/Evaluation_with_Prometheus_Eval.ipynb
diff --git a/demo/tutorials/misc/Misuse_Test_with_Prometheus_evaluation.ipynb b/demo/tutorials/misc/Misuse_Test_with_Prometheus_evaluation.ipynb
diff --git a/demo/tutorials/misc/Multi_Model_Multi_Dataset.ipynb b/demo/tutorials/misc/Multi_Model_Multi_Dataset.ipynb
diff --git a/docs/pages/docs/langtest_versions/release_notes_2_2_0.md b/docs/pages/docs/langtest_versions/release_notes_2_2_0.md
diff --git a/docs/pages/tutorials/LLM_testing_Notebooks/llm_testing_notebooks.md b/docs/pages/tutorials/LLM_testing_Notebooks/llm_testing_notebooks.md
@@ -41,4 +41,5 @@ The following table gives an overview of the different tutorial notebooks to tes
 | [**LM Studio**](lm_studio): Running Hugging Face quantized models through LM-Studio and testing these models for a Question Answering task.                         | LM Studio                      | Question-Answering                      | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/JohnSnowLabs/langtest/blob/main/demo/tutorials/llm_notebooks/LM-Studio-Demo.ipynb)                         |
 | [**Question Answering Benchmarking**](question_answering_benchmarking): This notebook provides a demo on benchmarking Language Models (LLMs) for Question-Answering tasks.   |  Hugging Face Inference API         | Question-Answering                          | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/JohnSnowLabs/langtest/blob/main/demo/tutorials/benchmarks/Question-Answering.ipynb)  |
 | **Fewshot Model Evaluation**: This notebook provides a demo on Optimize and evaluate your models using few-shot prompt techniques  |  OpenAI         | Question-Answering                          | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/JohnSnowLabs/langtest/blob/main/demo/tutorials/llm_notebooks/Fewshot_QA_Notebook.ipynb) |
-| **Evaluating NER in LLMs**:In this tutorial, we assess the support for Named Entity Recognition (NER) tasks specifically for Large Language Models (LLMs) |  OpenAI         | Question-Answering                           | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/JohnSnowLabs/langtest/blob/main/demo/tutorials/llm_notebooks/NER%20Casual%20LLM.ipynb) |
+| **Evaluating NER in LLMs**:In this tutorial, we assess the support for Named Entity Recognition (NER) tasks specifically for Large Language Models (LLMs) |  OpenAI         | Question-Answering                           | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/JohnSnowLabs/langtest/blob/main/demo/tutorials/llm_notebooks/NER%20Casual%20LLM.ipynb) |
+| **Swapping Drug Names Test**:In this notebook, we discussed implementing tests that facilitate the swapping of generic drug names with brand names and vice versa. This feature ensures accurate evaluations in medical and pharmaceutical contexts. |  OpenAI         | Question-Answering                           | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/JohnSnowLabs/langtest/blob/main/demo/tutorials/llm_notebooks/Swapping_Drug_Names_Test.ipynb) |
diff --git a/docs/pages/tutorials/miscellaneous_notebooks/miscellaneous_notebooks.md b/docs/pages/tutorials/miscellaneous_notebooks/miscellaneous_notebooks.md
@@ -41,3 +41,6 @@ The following table gives an overview of the different tutorial notebooks. In th
 | **Generic API-Based Model**: In this section, we discussed how to test API-based models hosted using Ollama, vLLM, and other tools.                                                                          | Web                    |Question-Answering                                  | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/JohnSnowLabs/langtest/blob/main/demo/tutorials/llm_notebooks/Generic_API-Based_Model_Testing_Demo.ipynb)        |
 | **Data Augmenter**: In this Notebook, we can allows for streamlined and harness-free data augmentation, making it simpler to enhance your datasets and improve model robustness.  | -                    |NER                                 | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/JohnSnowLabs/langtest/blob/main/demo/tutorials/misc/Data_Augmenter_Notebook.ipynb) |
 | **Multi-Dataset Prompt Configs**: In this Notebook, we discussed about optimized prompt handling for multiple datasets, allowing users to add custom prompts for each dataset, enabling seamless integration and efficient testing.   | OpenAI                    |Question-Answering                                  | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/JohnSnowLabs/langtest/blob/main/demo/tutorials/misc/MultiPrompt_MultiDataset.ipynb) |
+| **Multi-Model, Multi-Dataset**: In this Notebook, we discussed about testing on multiple models with multiple datasets, allowing users to allows for comprehensive comparisons and performance assessments in a streamlined manner.   | OpenAI                    |Question-Answering                                  | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/JohnSnowLabs/langtest/blob/main/demo/tutorials/misc/Multi_Model_Multi_Dataset.ipynb.ipynb) |
+| **Evaluation_with_Prometheus_Eval**:  In this Notebook, we disscussed about integrating the Prometheus model to langtest brings enhanced evaluation capabilities, providing more detailed and insightful metrics for model performance assessment.   | OpenAI                    |Question-Answering                                  | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/JohnSnowLabs/langtest/blob/main/demo/tutorials/misc/Evaluation_with_Prometheus_Eval.ipynb) |
+| **Misuse_Test_with_Prometheus_evaluation**: In this Notebook, we discussed about new safety testing features to identify and mitigate potential misuse and safety issues in your models   | OpenAI                    |Question-Answering                                  | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/JohnSnowLabs/langtest/blob/main/demo/tutorials/misc/Misuse_Test_with_Prometheus_evaluation.ipynb) |
diff --git a/pyproject.toml b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langtest"
-version = "2.2.0"
+version = "2.3.0"
 description = "John Snow Labs provides a library for delivering safe & effective NLP models."
 authors = ["John Snow Labs <support@johnsnowlabs.com>"]
 readme = "README.md"