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Recent GitHub Issues Activity

_{Like all software activity quantification, these numbers are imperfect but sometimes useful. Comments, Labels, and Milestones refer to those issues opened in the timespan in question.}

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Quantified Commit Activity Over 30 Days

Developer	Avatar	Branches	PRs	Commits	Files	Changes
Sergio Paniego Blanco		1	5/6/0	27	7	8120
Aymeric Roucher		1	1/1/0	9	4	3974
Sara Han		1	1/1/0	6	5	2065
Liam Thompson		1	1/1/0	4	3	687
Diego Carpintero		1	1/1/0	3	3	685
Derek		1	0/1/0	1	1	195
Anush		1	2/1/0	1	1	15
Harheem Kim		1	0/1/0	1	1	2
Steven Liu		0	0/0/0	0	0	0
jokerLee (jokerElsa)		0	0/1/0	0	0	0
Merve Noyan		0	0/0/0	0	0	0
Ali L Firozjaeai (alifirozjaei)		0	0/0/1	0	0	0

_{PRs: created by that dev and opened/merged/closed-unmerged during the period}

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Recent Activity Analysis

The Hugging Face Cookbook repository currently has 18 open issues, with recent activity indicating a focus on fixing documentation errors and improving notebook functionality. Notably, issues related to broken links and incorrect parameters in code snippets are prevalent, suggesting a need for better quality control in the documentation process. A recurring theme is the community's engagement in identifying and addressing these issues, which reflects an active user base committed to maintaining the project's integrity.

Several issues stand out due to their implications for usability: - Issue #185 highlights a critical 404 error due to incorrect URL redirection, which could hinder users' ability to access essential resources. - Issue #181 points out incorrect links to source files, potentially leading to confusion about the content's origin. - Issue #183 raises questions about variable usage in code examples, indicating possible misunderstandings that could affect users' implementation efforts.

The presence of multiple issues related to translation efforts (e.g., #92 and #34) suggests an ongoing initiative to broaden accessibility, while the frequent mention of Colab-related problems indicates that many users rely on this platform for executing notebooks.

Issue Details

Recent Issues

1. Issue #185: Weird redirection in URL in Advanced RAG on Hugging Face documentation using LangChain cookbook

   • Priority: High
   • Status: Open
   • Created: 18 days ago
   • Updated: N/A

2. Issue #183: "RAG with unstructured data", uses documents instead of docs / unused docs variable?

   • Priority: Medium
   • Status: Open
   • Created: 23 days ago
   • Updated: N/A

3. Issue #181: Incorrect links to the source files

   • Priority: Medium
   • Status: Open
   • Created: 26 days ago
   • Updated: N/A

4. Issue #123: Can "Building A RAG Ebook "Librarian" Using LlamaIndex" be run using Google Colab?

   • Priority: Low
   • Status: Open
   • Created: 91 days ago
   • Updated: N/A

5. Issue #92: Translate to Russian (RU)

   • Priority: Low
   • Status: Open
   • Created: 130 days ago
   • Updated: 129 days ago

6. Issue #90: ValidationError: 1 validation error for agenerate

   • Priority: Medium
   • Status: Open
   • Created: 133 days ago
   • Updated: N/A

7. Issue #87: Contribution to Hugging Face 🤗 cookbook: Add a Lang Chain agent that can interact with a PostgreSQL database

   • Priority: Low
   • Status: Open
   • Created: 144 days ago
   • Updated: N/A

8. Issue #82: Call for Contributions

   • Priority: Low
   • Status: Open
   • Created: 146 days ago
   • Updated: 35 days ago

These recent issues reflect ongoing concerns about documentation accuracy and usability, particularly for users relying on online resources like Colab for practical implementations. The community's active involvement in reporting these issues is crucial for maintaining the project's quality and relevance.

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Overview

The analysis of the pull requests (PRs) for the Open-Source AI Cookbook project reveals a diverse range of contributions, primarily focused on enhancing multilingual support, improving documentation, and adding new features or tutorials. As of now, there are 15 open PRs and a significant number of closed PRs, indicating ongoing community engagement and active development.

Summary of Pull Requests

1. PR #199: fix: Display output in markdown
   Created by Anush (Anush008) 2 days ago. This PR aims to fix visibility issues with outputs in Jupyter notebooks, specifically in code_search.ipynb.

2. PR #93: Translation into Russian - first PR
   Created by Artyom Boyko (blademoon) 130 days ago. This is the initial translation of the cookbook into Russian, awaiting review from native speakers.

3. PR #88: Farsi/Persian translation.
   Created by Mansoor Nabawi (Mansoorinho) 141 days ago. This PR introduces the first notebook translated into Farsi/Persian.

4. PR #84: Quantization stable diffusion
   Created by Thomas Liang (thliang01) 145 days ago. This draft PR discusses quantization methods for stable diffusion models but is still in early development stages.

5. PR #79: Building a resilient image generation pipeline
   Created by Aravind Putrevu (aravindputrevu) 159 days ago. This PR proposes a new image generation pipeline but faced feedback regarding the use of open-source models.

6. PR #78: feat: add tutorial notebook for chainguard
   Created by Eric Allen (ericrallen) 159 days ago. This tutorial focuses on preventing prompt injection in RAG applications using ChainGuard.

7. PR #77: Adding Catala as new language in notebooks/translated rag_zephyr_langchain
   Created by Jan Leyva (JanLeyva) 164 days ago. This PR adds Catalan translations to the cookbook.

8. PR #75: Fixed Typos and Clarifying Concepts on Semantic Cache Notebook
   Created by Tuvshinbayar Otgonbayar (Tuvshno) 165 days ago. This PR addresses minor typos and clarifies concepts in an existing notebook.

9. PR #74: Begin Farsi translation (alternative translation to #73)
   Created by Mazdak (mazdakdev) 166 days ago. This PR initializes Farsi translations with additional content compared to a previous attempt.

10. PR #70: Feat: Spanish Version
    Created by Jose Marin (josermarinr) 168 days ago. This draft PR aims to translate the cookbook into Spanish.

11. PR #67: Update Chinese version
    Created by Yang Lee (innovation64) 174 days ago. This PR updates several Chinese notebooks to match their English counterparts.

12. PR #66: Finetuning Starcoder2 for python copilot
    Created by Chandrahas Aroori (Exorust) 177 days ago. This PR proposes a new article on fine-tuning Starcoder2 for Python coding assistance.

13. PR #60: Update rag_llamaindex_librarian.ipynb
    Created by javapapo@mac.com 191 days ago. This minor update ensures readers have pulled necessary models before running examples.

14. PR #29: Chain-of-Verification - Prompt Engineering
    Created by Ankush (Ankush-lastmile) 213 days ago. This PR introduces a new prompt engineering technique but requires adjustments based on reviewer feedback.

15. PR #26: WIP: how to create dataset
    Created by Polina Kazakova (polinaeterna) 214 days ago. A placeholder for future content on creating datasets from real-world data.

Analysis of Pull Requests

The pull requests reflect several key themes and trends within the Open-Source AI Cookbook project:

1. Multilingual Support: A significant number of recent PRs focus on translating existing content into various languages, including Russian, Farsi, Catalan, and Spanish (#93, #88, #77, #70). This effort aligns with the project's goal of making AI resources accessible to non-English speakers, thereby expanding its user base and fostering inclusivity within the community.

2. Documentation Improvements: Many contributions aim to enhance the clarity and usability of existing notebooks (#75, #84, #60). Contributors are actively addressing typos, clarifying concepts, and ensuring that notebooks run smoothly in environments like Google Colab (#75). The emphasis on documentation quality indicates a commitment to maintaining high standards for educational resources.

3. Feature Additions and Enhancements: Several PRs introduce new features or tutorials that expand the functionality of the cookbook (#66, #78). For example, the addition of a tutorial on preventing prompt injection demonstrates responsiveness to emerging challenges in AI application development.

4. Community Engagement and Feedback Loop: The ongoing discussions within PR comments reveal an active feedback loop among contributors and maintainers (#93, #88). Contributors often seek guidance and clarification from each other, which fosters collaboration and improves overall content quality.

5. Stagnation in Some Areas: While many recent contributions are active, some older PRs have not seen significant progress or resolution (#29). There may be a need for more proactive engagement from maintainers to encourage timely reviews and merges to avoid stagnation in certain areas of development.

6. Quality Control Mechanisms: The project has established quality control measures through reviewer comments that emphasize clarity and adherence to best practices (#186). These mechanisms help ensure that contributions meet the project's standards before being merged into the main repository.

In conclusion, the Open-Source AI Cookbook is thriving with community-driven contributions that enhance its multilingual capabilities while maintaining high-quality documentation and educational resources for AI practitioners worldwide. However, there is room for improvement regarding engagement with older pull requests to ensure continuous growth and responsiveness within the project.

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Repo Commits Analysis

Development Team and Recent Activity

Team Members and Recent Contributions

1. Steven Liu (stevhliu)

   • Recent Activity: Merged multiple pull requests, including the addition of a Korean cookbook and updates to various notebooks. Collaborated with Sergio Paniego on several updates and fixes.
   • Notable Contributions:
   • Added first Korean cookbook.
   • Updated installation instructions and missing HF login cells in notebooks.
   • Collaborations: Worked closely with Sergio Paniego, Harheem Kim, and others.

2. Sergio Paniego Blanco (sergiopaniego)

   • Recent Activity: Made 27 commits with significant changes across various notebooks, focusing on bug fixes, content updates, and feature enhancements.
   • Notable Contributions:
   • Added evaluation code and batch evaluation metrics to the fine-tuning notebook.
   • Updated multiple notebooks based on review feedback.
   • Collaborations: Frequently collaborated with Steven Liu, Aymeric Roucher, and others.

3. Harheem Kim (harheem)

   • Recent Activity: Contributed one commit updating the _toctree.yml for the Korean section of the cookbook.
   • Collaborations: Co-authored changes with Jihun Lim.

4. Diego Carpintero (dcarpintero)

   • Recent Activity: Made three commits, including merging changes from the main branch into his working branch.
   • Collaborations: Engaged in collaborative efforts with Steven Liu.

5. Aymeric Roucher (aymeric-roucher)

   • Recent Activity: Contributed nine commits focused on improving existing notebooks and adding new features.
   • Notable Contributions: Worked on the multiagent cookbook and made improvements to existing documentation.
   • Collaborations: Collaborated with Steven Liu and Sergio Paniego.

6. Liam Thompson (leemthompo)

   • Recent Activity: Contributed four commits primarily focused on enhancing the semantic reranking notebook.
   • Collaborations: Worked with Sergio Paniego on updates.

7. Merve Noyan (merveenoyan)

   • Recent Activity: No recent commits but has previously merged pull requests related to fixing issues in notebooks.

8. Derek (datavistics)

   • Recent Activity: Made one commit adding a benchmarking notebook.

9. Anush008

   • Recent Activity: Contributed one commit with minor changes to a code search notebook.

10. Sara Han (sdiazlor)

    • Recent Activity: Contributed six commits focused on adding tutorials and updating documentation.

11. jokerElsa

    • Recent Activity: No recent activity but has contributed previously.

12. alifirozjaei

    • Recent Activity: No recent activity but has contributed previously.

Patterns, Themes, and Conclusions

• The development team is actively collaborating on enhancing the Open-Source AI Cookbook, with a focus on adding new content, improving existing notebooks, and fixing bugs.
• Sergio Paniego is notably active, contributing significantly to multiple aspects of the project, indicating a strong role in maintaining quality and functionality.
• Collaboration among team members is evident, particularly between Steven Liu and Sergio Paniego, as well as contributions from other members like Aymeric Roucher and Liam Thompson.
• Recent activities reflect a commitment to multilingual support, as seen with the addition of Korean content, which aligns with the project's goal of accessibility for a broader audience.
• The repository shows signs of healthy activity with numerous merges and updates across various branches, indicating ongoing engagement from contributors.