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AIM Workshop ALERT: RAG & Fine Tuning in GenAI with Snowflake
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AIM Workshop ALERT: RAG & Fine Tuning in GenAI with Snowflake

This webinar will clarify the differences between RAG and fine-tuning, alongside how and when to use these methods effectively.

AIM Workshop ALERT: RAG & Fine Tuning in GenAI with Snowflake
Mohit PandeyMohit Pandey·Published Updated

Key takeaways

  • Attend the AIM and Snowflake webinar on RAG and fine-tuning techniques for AI applications.
  • Learn the differences between retrieval augmented generation (RAG) and fine-tuning methods.
  • Explore practical applications of RAG to enhance generative model accuracy.
  • Gain insights from expert Prashant Wate on advancing AI projects effectively.
  • Register for the event to connect with AI enthusiasts and professionals.
5 min

AIM in partnership with Snowflake is hosting an exclusive webinar on 25th July from 6 PM to 7:30 PM titled “RAG & Fine Tuning in GenAI with Snowflake". 

This event is designed to provide AI enthusiasts, researchers, and professionals with a deep dive into the advanced techniques of retrieval augmented generation (RAG) and fine tuning, crucial for developing AI applications.

Meet the Expert: Prashant Wate

Prashant Wate, Senior Sales Engineer at Snowflake India, will lead this insightful session. With extensive experience in AI and enterprise solutions, Wate will guide the participants through the intricacies of RAG and fine-tuning, demonstrating how these techniques can revolutionise your AI projects.

Register Now!

What You Will Learn?

Understanding RAG and Fine Tuning

This webinar will clarify the differences between RAG and fine-tuning, alongside how and when to use these methods effectively. Gain practical knowledge and explore real-world applications that will set the stage for advanced AI innovations in your organisation.

Enhancing Generative Models with RAG

RAG is a technique designed to reduce hallucinations (incorrect responses) in generative models by integrating private datasets and vector embeddings. This method significantly boosts the capabilities of generative models, ensuring they align with your enterprise requirements.

Optimising Models with Fine-tuning

Fine-tuning involves adjusting pre-trained LLMs on a specific dataset to improve their performance on targeted tasks. This process is essential for optimising models to better understand and respond to domain-specific queries, ensuring higher accuracy and relevance in the generated outputs.

Leveraging Snowflake's Platform

Discover how Snowflake’s robust platform for data governance and management can be leveraged to develop and deploy end-to-end AI applications using RAG. 

With features like Snowflake Cortex, Streamlit, and Snowpark, you can achieve this without the need for additional integrations, infrastructure management, or data movement.

Why Attend?

This webinar is particularly valuable for developers who are eager to enhance their skills and knowledge in Generative AI. By attending, you will be equipped with the tools and techniques needed to drive advanced AI innovations in your organisation.

Register Now!

Secure your spot for the AIM Workshop on 25th July from 6 PM to 7:30 PM. 

Register today and take the first step towards mastering RAG and fine-tuning with Snowflake.

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