When and why I use private, local AI models (llms) instead of web-based models like ChatGPT.

As an academic who uses both private, local AI and large, web-based models, I feel it is important to discuss when, why, and for who each option is relevant and practical. In this video, I discuss my opinions on when, why, and for what tasks I choose to use local, private AI as compared to large, web-based models that use my chat as training data. Please Like and Subscribe to support the channel! @LearnMetaAnalysis Using Gemini for AI-assisted data extraction: https://youtu.be/l06XOEmHJTg Access state of the art LLMs all in one place with ChatLLM – My 3 month review of ChatLLM: https://youtu.be/_Z3nLKvTbGc Tutorials and how-to guides: Build a custom research assistant yourself with no coding and for free: https://youtu.be/x34IqZ14QUs Connect a LLM to your Zotero (or any other local folder): https://youtu.be/b2BSZfOtD_w Install OpenWebUI (it’s free and no coding!): https://youtu.be/gm_1VUg3L24 Conventional meta-analysis: https://www.youtube.com/playlist?list=PLXa5cTEormkEbYpBIgikgE0y9QR7QIgzs Three-level meta-analysis: https://www.youtube.com/playlist?list=PLXa5cTEormkHwRmu_TJXa7fSb6-WBXXoJ Three-level meta-analysis with correlated and hierarchical effects and robust variance estimation: https://www.youtube.com/playlist?list=PLXa5cTEormkEGenfcnp9X5dQUhmm7f9Jp Tired of manually extracting data for systematic review and meta-analysis? Check out AI-Assisted Data Extraction, a free package for R! https://youtu.be/HuWXbe7hgFc Free ebook on meta-analysis in R (no download required): https://noah-schroeder.github.io/reviewbook/ Visit our website at https://learnmeta-analysis.com/ 0:00 Open Webui 1:24 My perspective 2:09 Local model use cases 6:25 Web-model use cases 10:37 Concluding thoughts