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Intended for architects and senior developers.
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Elena Samuylova on Large Language Model (LLM)-Based Application Evaluation and LLM as a Judge
In this podcast, InfoQ spoke with Elena Samuylova from Evidently AI, on best practices in evaluating Large Language Model (LLM)-based applications. She also discussed the tools for evaluating, testing and monitoring applications powered by AI technologies.
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AI, ML, and Data Engineering InfoQ Trends Report 2025
In this episode, members of the InfoQ editorial staff and friends of InfoQ discuss the current trends in the domain of AI, ML and Data Engineering. 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 and listeners with a high-level overview of the topics to pay attention to this year.
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Mandy Gu on Generative AI (GenAI) Implementation, User Profiles and Adoption of LLMs
In this podcast, Mandy Gu from Wealthsimple discusses how to establish AI programs in organizations and implement Generative AI (GenAI) initiatives, and the relationship between user profiles and adoption of LLMs.
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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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AI, ML, and Data Engineering InfoQ Trends Report 2024
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 audience with a high-level overview of the topics to pay attention to this year. In this episode, members of the InfoQ editorial staff and friends of InfoQ are discussing the current trends in the domain of AI, ML and Data Engineering.
/podcasts/ai-ml-data-engineering-trends-2024/en/mediumimage/trends-report-podcast-290-210-logo-interviewee-pic-1723044038667.jpg)