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Key personalization use cases for genAI
GoCharlie in Vienna at ICML
Welcome back to this week’s essential AI reads for retailers and happy Tuesday! Thanks for your continued readership 🙂
Inside This Week’s Issue
ICML’s Conference on Machine Learning
Last Week, our Chief AI Officer, Despina Chirstou, showed off GoCharlie’s research at the ICML's LLMs and Cognition Workshop! Our research at GoCharlie.ai was focused on improving Code Generation through Case-based Reasoning.
In our work, we tackle a critical challenge: while LLMs have made strides in code generation, they still struggle with generating task plans for complex, real-world problems that require detailed, context-aware planning and execution.
We augment user prompts with top examples derived from case-based reasoning to enhance LLMs' accuracy in generating task plans from natural instructions. This method surpasses the typical RAG approach by employing a structured format for cases, incorporating user prompts, detailed task plans, and relevant Python code.
Additionally, our work includes an analysis of common code generation failures, categorized into seven types, to help identify why executable code often fails to meet the user's intent—a perspective not previously explored.
Our CAIO, Despina, presenting our research.
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This Week’s Retail AI News
Walmart is to begin pitching advertisements in-store to their suppliers.
Canva is doubling down on bringing AI into the creative fields.
What are the key personalization use cases for genAI in retail, and how should retailers prioritize them?
Just for fun:
A great story of branding without even needing to be an “official USA Olympics sponsor”.
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