InterSystemsDev
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https://community.intersystems.com/

We’re InterSystems Developers. Specialize in Data Platforms: InterSystems IRIS, Caché, Ensemble, HealthShare & Docker. Follow us to be in touch what happens on InterSystems Developer Community.
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📚 Dive into the world of #DataScience and language model with our latest article! Learn how to load a recipe dataset into #InterSystemsIRIS using Foreign Tables and analyze it using #LLMs with Embedded #Python 👇

https://community.intersystems.com/post/load-recipe-dataset-foreign-tables-and-analyze-it-using-llms-embedded-python-langchain-openai

Explore the powerful combination of Langchain and OpenAI for a unique and insightful journey!
📽️ Watch this #video for a real-life example of how to embed text data as vectors, perform #vectorsearch, and create an interface with #LLMs to generate a response based on #InterSystemsIRIS demo chatbot 👇

https://community.intersystems.com/post/video-exploring-basic-rag-application

Explore the basics of RAG!
📷 Watch this #video to learn about vector embeddings, the relationship between them and #LLMs and the challenges of the modeling language, as well as its potential 👇

https://community.intersystems.com/post/video-what-are-embeddings

Dive deeper into the #GenAI!
🔒 Can Language Learning Models (#LLM) and Protected Health Information (PHI) coexist securely? 🤔

In #healthcare, protecting sensitive data is non-negotiable. But did you know that simply turning data into numbers doesn’t guarantee privacy?

In our latest #video, we explore:
📊 Why caution is essential when using LLMs with PHI
🔑 Strategies to maintain confidentiality
🔄 How Retrieval Augmented Generation (RAG) ensures secure applications

Learn how to harness the power of LLMs without compromising data privacy!

https://community.intersystems.com/post/video-keeping-your-data-private-and-protected-rag

Watch now 👇

#HealthcareInnovation #DataPrivacy #LLMs #PHI #AI
📺 Watch this #video to explore the differences between #opensource and proprietary large language models (#LLMs) 👇

🔐 Proprietary models, like those from OpenAI or Google, operate as black boxes hosted in their cloud environments, offering high-quality performance but limiting data control and fine-tuning options.

🌐 Open-source models can be downloaded and run locally, offering greater flexibility, transparency, and control over data, though they often require significant hardware resources and may deliver lower-quality output.

https://youtu.be/BhJy_bj-RyE

Choose wisely!