InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Nikolaos Vasiloglou on Knowledge Graphs and Graph RAG
In this podcast, Nikolaos Vasiloglou from @RelationalAI team discusses how knowledge graph based applications are leveraging Generative AI technologies and how Graph RAG techniques can be used to enhance data analytics and insights.
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How to Build Effective LLMs When Both Basic Infrastructure and Model Training Data Are Lacking
Olimpiu Pop discusses with Jade Abbott, CTO and co-founder of Lelapa AI, how basic infrastructure scarcities found on the African continent can ignite innovation and help push forward the AI space. Particularly when dealing with never-written languages, you need to be innovative to generate proper data and divide the problem into minor problems that can be solved with fewer intensive resources.
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How to Improve the Quality of the Gen AI-Generated Code and Your Team’s Dynamics
Birgitta Böckeler, Thoughtworks’ subject matter expert on Generative AI coding assistants, discusses how to enhance generated code by incorporating additional information into its context, and how your team’s dynamics will evolve with the adoption of these tools.
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Wenjie Zi on Technology and Organizational Aspects for ML Project Success
In this podcast, Wenjie Zi discusses why many ML projects don’t succeed and what technology and organizational aspects affect the success of those projects. She also talked about what potential communication and understanding gaps can exist between business team and ML practitioners and how to address these gaps.
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Building LinkedIn’s Resilient Data Storage: a Deep Dive into Derived Data Storage with Felix GV
In this podcast, Felix GV, Principal Staff Engineer at LinkedIn, discusses how to create and operate planet-scale data storage solutions for derived data. When it’s time to build a new system, how do you decide on the pieces that must be fitted to ensure a resilient operating system?