Indira KriGanA shallow dig at tool calling (function — calling) using Azure OpenAIWith agents and agentic workflows doing the rounds everywhere , it’s crucial to understand what function calling is. (Most likely) Owing…Jul 12Jul 12
Indira KriGanPEFT Taxonomy in the LLM ContextLets start with what’s fine-tuning — large language models are trained on humongous amount of data, but they still fail to perform well on…Jan 20Jan 20
Indira KriGanA purposeful rendezvous with Milvus — the vector database.One of the important components in using the RAG — retriever augmented generator- method for implementing a QnA use case using large…Jul 23, 20231Jul 23, 20231
Indira KriGanLessons I learned while I arrived at Llama-2, the long way.With every post on my Linkedin page speaking about Llama -2 last evening ( We are in July 3rd week, 2023), I could not stop myself from…Jul 19, 2023Jul 19, 2023
Indira KriGaninBrillio Data ScienceNatural Language to SQL using an Open Source LLMAmong multiple explorations that I’ve been conducting with my fellow LLM experimenters aka. my team, here is an interesting piece — an…Apr 25, 20238Apr 25, 20238
Indira KriGaninBrillio Data ScienceCan machines learn better with lesser labelled data if we allow them to select the data to be…One of the biggest issues that any industry faces while turning to machine learning is not data — data is available in abundance — but…Apr 1, 2022Apr 1, 2022
Indira KriGaninAnalytics VidhyaGANs — What do G , A and N mean in GANs?A video like the one here piqued my interest in GANs some days back, where I found “Mr.Einstein” making funny faces.Oct 20, 2020Oct 20, 2020
Indira KriGaninBrillio Data ScienceIntroduction to Object Detection and Region ProposalsObject detection can be used to solve many business problems in a novel way.Here is an introduction to object detection & region proposals.Apr 16, 20191Apr 16, 20191
