DataHour: Building an End to End Machine Learning Pipeline for Large Language Models (LLMs)

DataHour: Building an End to End Machine Learning Pipeline for Large Language Models (LLMs)

24 Apr 202315:04pm - 24 Apr 202316:04pm

DataHour: Building an End to End Machine Learning Pipeline for Large Language Models (LLMs)

About the Event

Recently there has been a lot of hype going around LLMs. Be it ChatGpt or Bard every big tech is trying to come up with its custom LLMs. Now, what exactly are LLMs ?? And why are the big techs so desperate to come up with their custom LLMs ??? If you are looking for an answer to these questions then this session is meant for you. 

In this session, we shall cover what LLMs are and why it is causing such ferocious competition amongst big techs. The participants will get a working demo of how to build training/inference pipelines for LLMs. Aspects of ml engineering and mlops shall also be covered wherein the participants will learn to expose the model as a REST API. There will be a working example of how to trigger this REST API using standard HTTP methods.


Prerequisites: 
The zeal for learning new technologies, and good-to-know Azure cloud platform. 

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Who is this DataHour for?

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About the Speaker

Rituparna Praharaj

Rituparna Praharaj

Data and Applied Scientist at Microsoft

Rituparna Praharaj is a skilled Data and Applied Scientist currently working with Microsoft Cloud Data Sciences team. With over 4.5 years of experience in the field of Data Science and Machine Learning, Rituparna is an expert in implementing ML models and deploying them as cloud services. Her work involves use cases related to generative models, reinforcement learning, unsupervised learning and more. Rituparna is a graduate of BITS, Pilani and has been delivering innovative solutions to complex business problems throughout her career. With a strong passion for Machine Learning and a commitment to excellence, Rituparna is a valuable asset to any team. Her dedication to staying at the forefront of the latest trends and techniques in the field of Data Science makes her a top performer in the industry.

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