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.
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
About the Speaker
Participate in discussion
Registration Details
Registered
Become a Speaker
Share your vision, inspire change, and leave a mark on the industry. We're calling for innovators and thought leaders to speak at our event
- Professional Exposure
- Networking Opportunities
- Thought Leadership
- Knowledge Exchange
- Leading-Edge Insights
- Community Contribution
