Observed Signal · Feb 21, 2024 · Product Launch · Source: CMSWire · Impact: 2/5 · Sentiment: Positive
Latimer LLM Tackles AI Bias in Customer Experiences
CMSWire profiles Latimer, a large language model (LLM) created by John Pasmore to address cultural bias in AI systems used for customer experience and marketing. Unlike generic LLMs, Latimer is built on Meta's Llama-2 foundation and augmented with data on cultural history, oral traditions, and current events related to communities of color. It uses retrieval augmented generation (RAG) to cite relevant sources and reduce misinformation. The model is named after inventor Lewis Latimer and aims to provide culturally sensitive responses for marketers. Latimer has an exclusive content contract with New York Amsterdam News and involves scholar Molefi Kete Asante in development. The article highlights the importance of reducing AI bias to maintain trust and ensure accurate, relevant customer interactions.
Highlights a niche LLM specifically addressing cultural bias in AI for CX, which is relevant for marketers but not a major platform shift.
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Key Takeaways & Evidence Grounding
- Latimer is an LLM created by John Pasmore to mitigate cultural bias in AI models for customer experience.
- Latimer is based on Meta's Llama-2 GPT and augmented with cultural documentation.
- Latimer uses retrieval augmented generation (RAG) to improve accuracy and cite sources.
- Latimer has an exclusive contract with the New York Amsterdam News.
- Molefi Kete Asante, a scholar at Temple University, contributes to Latimer's development.
Connected Companies & Entities
1 Entity mapped“It differs in its foundation, based on Meta's Llama-2 GPT....”
Ontology Mapping & Concepts
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