AI Agents 2024/2025

Our comprehensive AI Agent study, conducted during the AI Agent in Production Event by Prosus and MLops.Community, offers insights into the current landscape of AI agent adoption, highlighting the dominance of commercial models and the emerging role of open-source alternatives and Agent frameworks.
Nov 23, 2024
Martin Stein

Data Engineering and AI

Transformative outcomes in AI initiatives depend on the strength and scalability of data engineering frameworks. By enabling efficient orchestration, real-time data processing, and optimized workflows, modern data engineering lays the foundation for impactful AI solutions. This post examines the tools, methodologies, and strategies shaping the future of data engineering, with research-driven insights into overcoming challenges in scaling AI pipelines. It also explores how aligning data workflows with AI innovation drives measurable results, fostering organizational transformation and unlocking new opportunities.
Nov 9, 2024
Christina Garcia

AI in Production

Deploying large language models (LLMs) in production environments presents unique challenges and opportunities. This post delves into best practices for scaling, monitoring, and optimizing LLMs to ensure reliability and real-world impact. It explores the complexities of integrating LLMs into production workflows, from fine-tuning and deployment strategies to addressing latency and cost-efficiency. With research-driven insights, the post highlights how organizations can harness the transformative potential of LLMs to drive measurable outcomes and create sustained value.
Nov 2, 2024
Christina Garcia
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