Showing category results for CSE

Oct 11, 2024
Post likes count8

Multimodal RAG with Vision: From Experimentation to Implementation

Pratima,
Maitreyi,
Oscar

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...

CSEISE
Sep 27, 2024
Post likes count2

PromptFlow Serve – Benchmark Result Analysis

Dasith Wijesiriwardena

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.

CSEISE
Sep 9, 2024
Post likes count8

Earning Agentic (and LangChain) Complexity

Michael,
Juan

This post examines the challenges of adopting complex technologies like LangChain and agentic solutions in production environments, emphasizing the importance of understanding the necessity of such complexity. It provides insights on how to evaluate these technologies carefully, manage dependencies, and adhere to best practices for secure and stabl...

CSEISE
Aug 16, 2024
Post likes count8

Semantic Router using Azure AI Search

Christopher Buckley

Potential semantic routing solution using Azure AI Search for scalable query handling.

CSEMachine LearningCognitive Services
Aug 3, 2024
Post likes count0

Converting multiple sources to FHIR using Liquid

Arpit Gaur

A brief summary of how Microsoft ISE teams creation a solution to integrate patients data from multiple fragmented sources into a standard FHIR data model

CSEISEHealthcare
Jul 26, 2024
Post likes count1

LLM Prompt Injection Considerations With Tool Use

Dasith Wijesiriwardena

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.

CSEISE
Jul 12, 2024
Post likes count4

Document Summarization Solution Patterns using Azure Open AI & Langchain

Komal Grover

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.

CSEISE