DataHour: Keeping LLMs Relevant: A Practical Guide to RAG and Fine-tuning

DataHour: Keeping LLMs Relevant: A Practical Guide to RAG and Fine-tuning

04 Jan 202413:01pm - 04 Jan 202414:01pm

DataHour: Keeping LLMs Relevant: A Practical Guide to RAG and Fine-tuning

About the Event

This session is an essential resource for individuals and organizations looking to harness the power of Large Language Models (LLMs) effectively using the best practices in the industry. In today's rapidly evolving landscape of natural language processing, staying up-to-date with the latest techniques and best practices is crucial. 

This DataHour session is a hands-on guide to provide practical insights into two key aspects of LLM usage. Firstly, it addresses the importance of retrieval augmented generation and Fine-tuning in practice, which are cutting-edge approaches to enhance LLM performance by keeping them up to date. Secondly, it addresses the elephant in the room ‘As a practitioner when and how to use each of these methods'

This session is therefore a practitioner's guide that equips attendees with the knowledge and tools needed to maximize the capabilities of LLMs and stay at the forefront of natural language processing advancements.

  1. Best articles get published on Analytics Vidhya’s Blog Space
  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space
  4. Best articles get published on Analytics Vidhya’s Blog Space
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Who is this DataHour for?

  1. Best articles get published on Analytics Vidhya’s Blog Space
  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space

About the Speaker

Shubhradeep Nandi

Shubhradeep Nandi

Researcher- Generative AI / LLMs

Shubhradeep Nandi possesses over 15 years of professional experience, with a decade of focussed experience in AI and Machine Learning. He is currently working as a researcher in the field of Generative AI and Large Language Models. His recent research contribution on LLMs in Climate Science has been awarded as a ’Highly Commendable Work’ by DCAL, IIM Bangalore. He pioneered the first Data Analytics Unit for Government from inception to its successful execution. He founded two startups CBC(acquired in 2014) and PiChain(exit in 2021). He is also a regular mentor and advisor in AI SaaS startups for Mumbai Angels and Brinc.

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