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Add notebooks
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lmartinfuertes committed Mar 25, 2024
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4 changes: 2 additions & 2 deletions _sources/definition.rst.txt
Original file line number Diff line number Diff line change
Expand Up @@ -19,7 +19,7 @@ Promptmeteo aims to address the aforementioned issues by dividing the prompt def
🏠 Prebuilt tasks
^^^^^^^^^^^^^^^^^^

The project incorporates high-level objects designed to address various NLP tasks, including text classification, Named Entity Recognition, and code generation. These objects only require configuration parameters for execution, eliminating the need to parse the output from the Language Model Models (LLMs).
The project incorporates high-level objects designed to address various NLP tasks, including text classification, named entity recognition, and code generation. These objects only require configuration parameters for execution, eliminating the need to parse the output from the LLMs.

⚙️ Ease of Deployment
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Expand Down Expand Up @@ -102,4 +102,4 @@ The current available `model_name` and `language` values are:
- es, en
* - bedrock
- anthropic.claude-v2
- es, en
- es, en
13 changes: 12 additions & 1 deletion _sources/index.rst.txt
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Expand Up @@ -6,7 +6,7 @@
Promptmeteo 🔥🧔
=======================================

Promptmeteo is a Python library for Prompt Engineering built over LangChain. It simplifies the utilization of Language Model Models (LLMs) for various tasks through a low-code interface. To achieve this, Promptmeteo can employ different LLM models and dynamically generate prompts for specific tasks based on just a few configuration parameters.
Promptmeteo is a Python library for prompt engineering built over LangChain. It simplifies the utilization of large language models (LLMs) for various tasks through a low-code interface. To achieve this, Promptmeteo can employ different LLM models and dynamically generate prompts for specific tasks based on just a few configuration parameters.

.. toctree::
:maxdepth: 2
Expand All @@ -22,3 +22,14 @@ Promptmeteo is a Python library for Prompt Engineering built over LangChain. It
:caption: Classes

classes


.. toctree::
:maxdepth: 1
:caption: Example notebooks

notebooks/01_promptmeteo_usage
notebooks/03_sentiment_analysis.ipynb
notebooks/04_test_flant5_classification_prompts.ipynb
notebooks/05_test_openai_classification_prompts.ipynb
notebooks/06_test_openai_api-generation.ipynb
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