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7 Simple Steps to Standardizing the ML Experiment (Jan. 26)
Notes from the third session of a brand new Office Hours series: Seven Simple Steps to Standardizing the Experiment discussing…
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7 Simple Steps to Standardizing the ML Experiment (Jan. 19)
Notes from the third session of a brand new Office Hours series: Seven Simple Steps to Standardizing the Experiment discussing…
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7 Simple Steps to Standardizing the ML Experiment (Jan. 12)
Notes from the second session of a brand new Office Hours series: Seven Simple Steps to Standardizing the Experiment discussing…
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Comet’s Year-in-Review: 2021
Notes from this week’s Comet Office Hours: Revisiting the fundamentals and Harpreet’s Google Search crash course
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Streamline Model Development with GitLab’s DevOps Platform and Comet
Leverage GitLab’s powerful CI/CD pipelines and Comet’s Experiment Management capabilities to create a model development workflow that enables better collaboration…
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Build ML Models Faster with New Relic One and Comet
If you’re a data scientist, machine learning engineer, or data engineer, you know the challenges of deploying a successful machine…
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Issue 18: Self-regulating AI Ethics, TensorFlow Similarity, 3D Dance Generation, and Textless NLP
Self-regulating AI ethics, TensorFlow Similarity, 3D dance generation, and textless NLP
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Issue 17: Graph Neural Nets, Concept Drift Deep-dive, Rethinking Large Language Models
Graph neural nets, concept drift deep-dive, rethinking large language models, and more
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Comet Office Hours: Recap for August 29, 2021
Notes from this week’s Comet Office Hours: Baseline models and experiment management, pitching the need for better data foundations, and…
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Issue 16: AI Writes a Play, Hugging Face’s High-profile Hire, New Text-to-speech Model from Google
An upcoming MLOps webinar, Hugging Face’s latest high-profile hire, an excellent extractive text summarization project, and a new neural TTS…
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From Observability to Optimization: Announcing the Opik Agent Optimizer Public Beta
At Comet, we’re driven by a commitment to advance innovation in AI, particularly in the realm of LLM observability. Our…
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