We will see a demo of developing GenAI applications in LabVIEW using LabVIEW LLM libraries. We will use LabVIEW LLM libraries to talk more in detail about the following:
1. Interact with large language models (LLMs), be it online or offline models. The libraries provide pre-built support for popular models.
2. Use the libraries to build a RAG (Retrieval-Augmented Generation) system, which combines the power of LLMs with a retrieval mechanism to enhance the quality and relevance of generated content.
3. Interact with the vector databases for efficient storage and retrieval of embeddings. The libraries provide seamless integration with popular vector databases, but also allow for custom implementations if required.
4. Utilize the libraries to build your own data processing pipelines for tasks such as data extraction, chunking, embedding.
5. Last but not the least, lets see the VLM(Vision Language Model) capabilities of these libraries to implement some interesting applications using LabVIEW.
Link - https://github.com/solitontech/labview-llm-libraries-eap
Pranay has been working with LabVIEW, TestStand, and PXI & bench top instrumentation for the last 6 years and is a LabVIEW Champion, CLA, CTA, and CPI. He is working with Soliton technologies as "Senior Lead - Technical Solutions" to help worldwide semiconductor-based customer engineering teams in building standardization frameworks and solutions for post-silicon validation and production testing. He loves solving complex problems through simple, scalable, and standardized software designs.
Pranay enjoys contributing and collaborating with the community to develop more productivity tools and exchange technical learnings.