InfoQ Homepage Large language models 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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InfoQ Architecture and Design Trends in 2025
The panel discussion in this episode is one half of the annual InfoQ Architecture and Design Trends Report. The other half is the written report . One of the regular features of InfoQ are the trends reports, which each focus on a different aspect of software development. These reports provide the InfoQ readers with a high-level overview of the topics to pay attention to this year.
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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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Dissecting the Intelligence of AI with Avraham Poupko
In this episode, Thomas Betts speaks with Avraham Poupko. Avraham believes software architects will not be replaced by Generative AI or LLMs. They will be replaced by software architects that know how to leverage Generative AI and LLMs. Their discussion compares LLM training with how humans learn, leading to better understanding of how architects can use GenAI effectively.
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Apoorva Joshi on LLM Application Evaluation and Performance Improvements
In this podcast, Apoorva Joshi, senior AI developer advocate at MongoDB, discusses how to evaluate software applications that use the Large Language Models or LLMs and how to improve the performance of LLM based applications.