Improving LLM-Based Marketing Analytics Copilots with Semantic Search and Fine-Tuning

Improving LLM-Based Marketing Analytics Copilots with Semantic Search and Fine-Tuning

27 Aug 202413:08pm - 27 Aug 202414:08pm

Improving LLM-Based Marketing Analytics Copilots with Semantic Search and Fine-Tuning

About the Event

Artificial intelligence is widely deployed to solve problems related to marketing attribution and budget optimization. However, AI models can be quite complex, and it can be difficult to understand model workings and insights without extensive implementation teams. In principle, recently developed large language models, like GPT-4, can be deployed to provide marketing insights, reducing the time and effort required to make critical decisions. In practice, there are substantial challenges that need to be overcome to reliably use such models.

In today’s session, the speaker will show how to apply a combination of semantic search, prompt engineering, and fine-tuning to dramatically improve the ability of LLMs to execute these tasks accurately. You’ll explore embedding methods, discover how proprietary models, like GPT-4, and open source models, like Llamas, compare for use cases specific to marketing use cases, and more.

  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
  5. Best articles get published on Analytics Vidhya’s Blog Space

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

Sai Kumar Arava

Sai Kumar Arava

Machine Learning Manager at Adobe

Sai Kumar Arava is the Machine Learning Manager at Adobe, where he oversees the development and deployment of ML services across various Adobe products. He leads several ML & predictive intelligent services that helps Adobe measure marketing attribution, propensity scores for both B2C and B2B services.

He’s building machine learning solutions that leverage generative AI to solve problems around domain-specific question-answering, SQL generation needed for data retrieval, and tabular analysis. He’s very active in the ML community, holds several patents, and has published in top ML conferences. You can reach him on LinkedIn.

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