Azure Durable Functions streamline RAG indexing by combining push flexibility with pull reliability for scalable,
In this article, we delve into techniques for extracting valuable insights from customer feedback using Large Language Models (LLMs). By identifying themes, sentiment, and competitor comparisons from feedback, businesses can gain a competitive edge.
This blog post delves into the experimentation journey of fine-tuning a multimodal RAG pipeline to best answer user queries that require both textual and image context. We ran our experiments by systematically testing various approaches, adjusting one configuration setting at a time and using clearly defined evaluation metrics to validate the perfo...
In this post we discuss how to test the throughput of PromptFlow pf-serve module and key learnings doing so. We explore the impact on throughput and performance the different WSGI and ASGI hosting methods have and the importance of engineering your Python nodes with the async await pattern for I/O.
This post discusses a pattern to prevent a class of prompt injection attacks in LLM-based solutions. It emphasizes the importance of building strong foundational patterns to mitigate risks and avoid potential pitfalls. By implementing this pattern, teams can enhance the security of their tool-based solutions.
This post lists the various solution patterns that can be applied for document summarization. Document summarization comes with its challenges related to token limitation and chunk sizes. This blog post discusses about the solutions to tackle those challenges.
