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Faster Airflow to Flyte migration powered by Flyte Airflow Agents
Kevin Su
Kevin Su
May 14, 2024

Faster Airflow to Flyte migration powered by Flyte Airflow Agents

We have had the privilege of seeing data teams experience the value of a unified platform for both machine learning and data pipelines.
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Article
Pandera 0.19.0: Polars DataFrame Validation
Niels Bantilan
Niels Bantilan
May 20, 2024

Pandera 0.19.0: Polars DataFrame Validation

The day is finally here! Pandera 0.19.0 ships support for Polars.
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Data Quality
The Essential Role of Vector Databases in LLMOps
Sage Elliott
Sage Elliott
May 20, 2024

The Essential Role of Vector Databases in LLMOps

Zilliz provides enterprise-grade AI technologies, including one of the world’s most popular open-source vector databases, Milvus.
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MLOps
Community
Podcast
Open-Source Video Dubbing Using Whisper, M2M, Coqui XTTS, and Sad Talker
Samhita Alla
Samhita Alla
May 10, 2024

Open-Source Video Dubbing Using Whisper, M2M, Coqui XTTS, and Sad Talker

AI video dubbing or translation has surged in popularity, breaking down language barriers and enabling communication across diverse cultures.
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Article
Performance Tuning AI Models with NVIDIA DGX Cloud
Thomas Fan
Thomas Fan
Apr 29, 2024

Performance Tuning AI Models with NVIDIA DGX Cloud

As generative AI models become more capable and deployed in various contexts, optimizing the model in terms of throughput and memory consumption...
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Article
Move Fast and Don’t Break Things: Introducing Artifacts Lineage and Reactive Workflows
John Votta
John Votta
Apr 17, 2024

Move Fast and Don’t Break Things: Introducing Artifacts Lineage and Reactive Workflows

Today’s AI development lifecycle is marked by multiple teams collaborating to create AI-driven products.
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Article

Upcoming events

June 4, 9:00–10:00am PDT
Neural Big Data Analysis | In-house solutions to Flyte data orchestration
June 19, 10:00–10:30am PT
Improve Agentic Workflows with Longer LLM Context | Mark Huang - Gradient

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Niels Bantilan
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Sarah Floris
Sarah Floris
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Martin Stein
Kelsey Hightower Panel: “Machine Learning in Production”

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