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Cameron Balahan, Sameer Ajmani, and Russ Cox from the Go Team at Google discuss decision-making processes, team evolution, organizational structure, API development workflow optimization, tech lead roles, future Go features, sustainability concerns, and engaging with the Go community. They share insights on team dynamics, growth, and collaboration within the open-source community.
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Quick takeaways
- The Go Team at Google focuses on collaboration to manage internal evolution and align with broader objectives.
- Go Team prioritizes productivity and quality for end-to-end solutions, showcasing leadership in security and language enhancements.
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LLMs and Knowledge Graphs Enhance Data Reliability
Supplying Large Language Models (LLMs) with consistent data ensures accurate results. By coupling LLMs with Knowledge Graphs and Vector Search, like at Neo4j in their podcast, retrieval methods and prompt engineering are optimized for reliable outcomes.
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