Simrat Hanspal

The Fifth Elephant 2016

Looking under the hood - demystifying data tools

The goal of this talk is to help build an understanding of the performances of the following packages - R Dataframe R data.table Pandas Numpy PySpark RDDs PySpark Dataframes RedShift While these packages are operating in different but intersecting realms of use cases, depending on the cardinality of the data and the operations that will be performed on it, some are more suited than others for the… more

2 comments
Confirmed & scheduled
17 Jun 2016

Section: Crisp talk Technical level: Intermediate

The Fifth Elephant 2017

Interestingness of interestingness measures

Analysis of relationship between entities is at the heart of data mining problems. There are many metrics used for association mining like support, confidence, lift, mutual information etc. However many of these measures provide conflicting results about the interestingness of the association. Therefore it becomes very important to understand how to evaluate metrics for an application. more

7 comments
Under evaluation
30 Apr 2017

Section: Full talk for data engineering track Technical level: Advanced

The Fifth Elephant 2023 Monsoon

Building efficient and secure vector data workflows

Background Large Language Models have demonstrated amazing capability for solving complex problems. But they can’t answer what they haven’t seen, and to take advantage of these amazing models, we need to expose our data to the model. Fine-tuning is not an option, at least not a cheap one. Prompt engineering is a helpful technique to provide context to LLMs, which helps the model restrict its answ… more

2 comments
Submitted
30 Jun 2023

The Fifth Elephant 2023 Winter

Let's build production-ready RAG pipeline the right way!

Retrieval Augmented Generation (RAG) is a brilliant technique of augmenting knowledge to Large Language Models (LLMs) so that we can use the power of Language Models for multiple use cases on enterprise and real-time data. more

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Submitted
15 Nov 2023

Call for Papers

Language Models are Few Shot Learners

Language Models are few short learners is an important paper in the space of GenerativeAI and Natural Language Processing. It introduced GPT-3 and showed the capability of large language models to generalize as task-agnostic learners. more

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Submitted
29 Dec 2023