{"id":22808198,"url":"https://github.com/simonpierreboucher/notebook_html","last_synced_at":"2026-04-09T12:56:57.325Z","repository":{"id":262726160,"uuid":"888159753","full_name":"simonpierreboucher/notebook_html","owner":"simonpierreboucher","description":"This repository contains HTML versions of various Jupyter notebooks. 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These files are accessible directly in a web browser, allowing for easy viewing and sharing of notebook content without requiring a Jupyter Notebook environment.\n\n## Overview\n\nThe notebooks in this repository cover a range of topics, including interactions with different language model APIs (e.g., OpenAI, Anthropic, Mistral), text generation, retrieval-augmented generation (RAG), summarization, translation, and multi-step prompt workflows. This repository serves as a reference for various NLP tasks and language model functionalities.\n\n## Repository Structure\n\nBelow is a list of each notebook with a brief description of its content. Click the links to view each notebook.\n\n### Anthropic Notebooks\n- **[ANTHROPIC-CHATBOT](https://simonpierreboucher.github.io/notebook_html/ANTHROPIC-CHATBOT.html)**: Demonstrates how to use the Anthropic API for chatbot interactions.\n- **[ANTHROPIC-RAG](https://simonpierreboucher.github.io/notebook_html/ANTHROPIC-RAG.html)**: Shows Retrieval-Augmented Generation with Anthropic models.\n- **[ANTHROPIC-TEXTGEN](https://simonpierreboucher.github.io/notebook_html/ANTHROPIC-TEXTGEN.html)**: Explores text generation capabilities with Anthropic models.\n\n### Cohere Notebooks\n- **[COHERE-CHATBOT](https://simonpierreboucher.github.io/notebook_html/COHERE-CHATBOT.html)**: Implements a chatbot using the Cohere API.\n- **[COHERE-RAG](https://simonpierreboucher.github.io/notebook_html/COHERE-RAG.html)**: Demonstrates Retrieval-Augmented Generation with Cohere models.\n\n### Julia API Notebooks\n- **[JULIA_ANTHROPIC_API](https://simonpierreboucher.github.io/notebook_html/JULIA_ANTHROPIC_API.html)**: Interacts with the Anthropic API using Julia.\n- **[JULIA_COHERE_API](https://simonpierreboucher.github.io/notebook_html/JULIA_COHERE_API.html)**: Shows Cohere API usage in Julia.\n- **[JULIA_MISTRAL_API](https://simonpierreboucher.github.io/notebook_html/JULIA_MISTRAL_API.html)**: Demonstrates Mistral API interaction in Julia.\n- **[JULIA_OPENAI_API](https://simonpierreboucher.github.io/notebook_html/JULIA_OPENAI_API.html)**: Provides OpenAI API interaction examples in Julia.\n\n### Multi-Step Flow Notebooks\n- **[LLM_FLOW_1](https://simonpierreboucher.github.io/notebook_html/LLM_FLOW_1.html)**: Introduces a modular framework for interacting with various LLM APIs, covering text generation and embedding retrieval.\n- **[LLM_FLOW_2](https://simonpierreboucher.github.io/notebook_html/LLM_FLOW_2.html)**: Expands on the multi-step framework, demonstrating semantic search and advanced workflows.\n\n### Mistral Notebooks\n- **[MISTRAL-CHATBOT](https://simonpierreboucher.github.io/notebook_html/MISTRAL-CHATBOT.html)**: Builds a chatbot using the Mistral API.\n- **[MISTRAL-RAG](https://simonpierreboucher.github.io/notebook_html/MISTRAL-RAG.html)**: Implements Retrieval-Augmented Generation with Mistral models.\n- **[MISTRAL-TEXTGEN](https://simonpierreboucher.github.io/notebook_html/MISTRAL-TEXTGEN.html)**: Explores text generation capabilities with Mistral models.\n\n### OpenAI Notebooks\n- **[OPENAI-CHAT](https://simonpierreboucher.github.io/notebook_html/OPENAI-CHAT.html)**: Creates a chatbot using the OpenAI API.\n- **[OPENAI-RAG](https://simonpierreboucher.github.io/notebook_html/OPENAI-RAG.html)**: Demonstrates Retrieval-Augmented Generation with OpenAI models.\n- **[OPENAI-TEXTGEN](https://simonpierreboucher.github.io/notebook_html/OPENAI-TEXTGEN.html)**: Showcases text generation with OpenAI models.\n- **[OPENAI_PROMPTING](https://simonpierreboucher.github.io/notebook_html/OPENAI_PROMPTING.html)**: Covers techniques for effective prompt engineering with OpenAI models.\n- **[OPENAI_REFERENCE_RAG](https://simonpierreboucher.github.io/notebook_html/OPENAI_REFERENCE_RAG.html)**: Uses reference materials for enhanced Retrieval-Augmented Generation.\n- **[OPENAI_VECTOR_EMB](https://simonpierreboucher.github.io/notebook_html/OPENAI_VECTOR_EMB.html)**: Explores vector embedding retrieval and similarity search with OpenAI models.\n\n### PDF Summarization\n- **[PDF_CHUNK_SUMMARIZATION](https://simonpierreboucher.github.io/notebook_html/PDF_CHUNK_SUMMARIZATION.html)**: Summarizes PDF content by chunking and analyzing text segments.\n\n### Python API Notebooks\n- **[PYTHON_ANTHROPIC_API](https://simonpierreboucher.github.io/notebook_html/PYTHON_ANTHROPIC_API.html)**: Interacts with the Anthropic API in Python.\n- **[PYTHON_COHERE_API](https://simonpierreboucher.github.io/notebook_html/PYTHON_COHERE_API.html)**: Shows usage of the Cohere API in Python.\n- **[PYTHON_MISTRAL_API](https://simonpierreboucher.github.io/notebook_html/PYTHON_MISTRAL_API.html)**: Demonstrates Mistral API interaction in Python.\n- **[PYTHON_OPENAI_API](https://simonpierreboucher.github.io/notebook_html/PYTHON_OPENAI_API.html)**: Covers OpenAI API calls and parameters in Python.\n\n### Question Answering\n- **[QA_llm_function](https://simonpierreboucher.github.io/notebook_html/QA_llm_function.html)**: Demonstrates question-answering using language models, providing answers based on context or a document.\n\n### R API Notebooks\n- **[R_ANTHROPIC_API](https://simonpierreboucher.github.io/notebook_html/R_ANTHROPIC_API.html)**: Uses the Anthropic API in R.\n- **[R_COHERE_API](https://simonpierreboucher.github.io/notebook_html/R_COHERE_API.html)**: Interacts with the Cohere API in R.\n- **[R_MISTRAL_API](https://simonpierreboucher.github.io/notebook_html/R_MISTRAL_API.html)**: Demonstrates Mistral API interaction in R.\n- **[R_OPENAI_API](https://simonpierreboucher.github.io/notebook_html/R_OPENAI_API.html)**: Uses the OpenAI API in R.\n\n### LLM Function Notebooks\n- **[fewshot_llm_function](https://simonpierreboucher.github.io/notebook_html/fewshot_llm_function.html)**: Demonstrates few-shot learning with LLMs, providing a limited number of examples to guide model responses.\n- **[generate_llm_function](https://simonpierreboucher.github.io/notebook_html/generate_llm_function.html)**: Explores text generation tasks using various LLMs.\n- **[summarize_llm_function](https://simonpierreboucher.github.io/notebook_html/summarize_llm_function.html)**: Implements summarization of text input.\n- **[translate_llm_function](https://simonpierreboucher.github.io/notebook_html/translate_llm_function.html)**: Provides language translation capabilities using LLMs.\n\n## License\n\nThis repository is licensed under the MIT License.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsimonpierreboucher%2Fnotebook_html","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsimonpierreboucher%2Fnotebook_html","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsimonpierreboucher%2Fnotebook_html/lists"}