PinnedShweta LodhaMastering the RAG Pipeline: Tips and Tricks for SuccessThe Retriever-Augmented Generation (RAG) pipeline is a powerful tool in the world of Natural Language Processing. It combines the strengths…Feb 232Feb 232
Shweta LodhaCreate Your Custom Copilot And Integrate Into TeamsIn the era of digital transformation, having a custom copilot for your team can be a game-changer. A copilot can assist in various tasks…May 15May 15
Shweta LodhaQuery Multiple CSV Files Together — Azure OpenAI + LangChainWhen dealing with multiple CSV files having different columns, it’s essential to have an efficient method for querying and extracting…May 61May 61
Shweta LodhaImprove The Response Time From LLM — OpenAI and Azure OpenAISemantic Kernel, a powerful tool for integrating large language models into your applications, now supports streaming responses. In this…Apr 19Apr 19
Shweta LodhaAll About Semantic Kernel — Ongoing SeriesIf you’ve not heard about Semantic Kernel, it is an open-source SDK, which bridges the gap between AI and native code.Mar 21Mar 21
Shweta LodhaMonitor Your LLM Model Using Azure ML Prompt Flow (Preview) — Part 9This post is in continuation to my previous articles, where I explained about Azure Machine Learning Prompt Flow. Here are those:Mar 1Mar 1
Shweta LodhaRAG Tip — Missed The Top Ranked DocumentsRAG which is short for Retrieval-Augmented Generation is a powerful technique that combines the natural language understanding and…Feb 15Feb 15
Shweta LodhaRAG Tip — Correct Content Not ExtractedIn the world of LLM based applications, one of the most common challenges faced by the developers is ensuring that the correct content is…Feb 15Feb 15
Shweta LodhaIntegrating LangChain With Azure ML Prompt Flow — Part 8This post is in continuation to my previous articles, where I explained about Azure Machine Learning Prompt Flow. Here are those:Feb 15Feb 15