DataHour: Build a LLM Application with Databricks DBRX
DataHour: Build a LLM Application with Databricks DBRX
22 Apr 202413:04pm - 22 Apr 202414:04pm
DataHour: Build a LLM Application with Databricks DBRX
About the Event
LLMs are disrupting the way we interact with information, from internal knowledge bases to external, customer-facing documentation or support.
In this session, we will deep dive into Retrieval Augmented Generation (RAG) architecture, deploy a real-time Q&A bot using Databricks DBRX Instruct Foundation Model , a SOTA open-source model. DBRX 132B, is 20 times more cost-effective than GPT-4 for 1 million token outputs. RAG is a powerful technique where we enrich the LLM prompt with additional context specific to your domain and helps the model to achieve better answers.
We will learn about:
- DBRX and the model's MoE architecture, which provides significant economic benefits
- Prepare clean documents to build your internal knowledge base
- Leverage Vector Search with embedding model to create and store document embeddings
- Search similar documents from your knowledge database
- Deploy a real-time RAG model
- 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
Sarbani is a seasoned technology leader with 23 years of experience in disruptive innovation and AI transformation. She has a proven track record of delivering high-impact services and solutions by identifying consumer needs and translating them into innovative offerings. Her expertise lies in architecting high-performance, cloud-native solutions. She has successfully catered to many customers, ensuring seamless scalability and concurrency.
Currently, she serves as an ML Specialist Solutions Architect at Databricks, where she leverages AI/ML to build scalable, robust, and maintainable platforms for data science and machine learning. Her strength lies in bridging gaps across functions and delivering results that drive business growth.
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