DVC AI
O que é DVC AI?
Um conjunto de ferramentas para gerenciamento de dados de ML, rastreamento de experimentos e automação de pipelines.
Como usar DVC AI?
1. Controle de versão dos seus dados e experimentos de ML. 2. Automatize recursos de computação em qualquer nuvem. 3. Rastreie e gerencie seus experimentos de ML.
Principais recursos da DVC AI
Processar bilhões de arquivos
Embeddings personalizados
Auto-rótulos
Mitigar vieses
Remover duplicatas próximas
Versão e compartilhamento
Use o Git como fonte única de verdade
Casos de uso da DVC AI
Pré-processamento e gerenciamento de dados
Rastreamento de experimentos
Versionamento de modelos de ML
Automação de pipelines
Perguntas frequentes de DVC AI
O que é o DVC AI?
Quais são as principais características do DVC AI?
Quais são os casos de uso do DVC AI?
Como posso usar o DVC AI?
DVC AI Discordância
Aqui está o Discord de DVC AI: https://discord.com/invite/dvwXA2N. Para mais mensagens do Discord, clique aqui(/pt/discord/dvwxa2n).
DVC AI E-mail de suporte e contato de atendimento ao cliente e contato de reembolso, etc.
Mais contato, visite a página de contato(https://dvc.ai/#learn_more)
Preço de DVC AI
Link de preços de DVC AI: https://dvc.ai/pricing
Youtube de DVC AI
Link de Youtube de DVC AI: https://www.youtube.com/channel/UC37rp97Go-xIX3aNFVHhXfQ
Linkedin de DVC AI
Link de Linkedin de DVC AI: https://www.linkedin.com/company/iterative-ai/
Twitter de DVC AI
Link de Twitter de DVC AI: https://twitter.com/DVCorg
Github de DVC AI
Link de Github de DVC AI: https://github.com/iterative
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Data Versioning in Generative AI: A Pathway to Cost Effective ML
This talk was presented at the 2023 MLOps World and Generative AI World Summit. Dmity Petrov shares on his learnings over 5 years of creating and maintaining DVC and how we can now tackle the management of unstructured Generative AI data in a cost-effective way. Talk Abstract: For 5 years we have been building DVC and we know how data versioning helps teams. The evolving Generative AI workflows are different and require an evolution of versioning workflows to accomplish Generative AI goals. This new era thrives on vast amounts of unstructured data, which include everything from images, videos, and audio, to MRI scans, document scans, and plain text dialogues. This data, often scaling into billions of objects, together with the resource-consuming task of scoring models on expensive GPU hardware or using model APIs like ChatGPT, brings forth unique challenges in the field of data management and versioning. In this talk, we will delve into data versioning in the context of generative AI. Our focus will be on strategies that assist businesses in minimizing their processing time and the volume of API calls to external models like ChatGPT, resulting in substantial cost savings. Furthermore, we will discuss effective methodologies for sharing datasets amongst ML researchers to promote seamless collaboration. Lastly, we will examine the pivotal transformations generative AI has introduced to data versioning in the past year including annotations and embeddings versioning. Together, these insights will provide attendees with an in-depth understanding of the rapidly evolving data management landscape in the era of generative AI. What You’ll Learn 1. How data management is different in the Generative AI environment compared to traditional ML 2. How to save cost on compute and API calls using data versioning 3. Dataset sharing in the team as a way to improve collaboration 4. How to efficiently version annotation, embeddings, and auto-labels together with data To learn more about our approach see the recent research paper that we presented as a workshop at ICCV in Paris: https://arxiv.org/abs/2309.11608 DVC delivers the best practices of software engineering to your machine learning workflows; setting you up for success! Learn more about our ecosystem of tools at https://dvc.ai *Try out the DVC Extension for VS Code here:* https://marketplace.visualstudio.com/items?itemName=Iterative.dvc To learn more about Iterative's open-source and SaaS tools please visit: 🧑🏽💻 *Our free online course:* https://learn.iterative.ai ✍🏼 *Our docs:* https://dvc.org/doc (Data Version Control, Pipelines, Experiments) https://cml.dev/doc (CI/CD for Machine Learning) https://studio.iterative.ai (Team Collaboration, Experiments, Model Registry) *Join the Community on our Discord server:* https://discord.gg/W49xzNmycw #dvc #machinelearning #datascience #generativeai
DVC Extension for VS Code Update: Plots Wizard
In this video demo, Julie Galvan showcases the latest update to the DVC VS Code extension: a new Plots Wizard. Now, you can easily add plots to your dvc.yaml file. Julie guides you through the process, from selecting data files, and the plot template, to picking metrics for axes, which produces the code in your dvc.yml file and ultimately your plot. You can find more info in this release in the DVC for VS Code v. 1.0.54. Release notes: https://github.com/iterative/vscode-dvc/releases/tag/1.0.54 DVC delivers the best practices of software engineering to your machine learning workflows; setting you up for success! Learn more about our ecosystem of tools at https://dvc.ai *Try out the DVC Extension for VS Code here:* https://marketplace.visualstudio.com/items?itemName=Iterative.dvc To learn more about Iterative's open-source and SaaS tools please visit: 🧑🏽💻 *Our free online course:* https://learn.iterative.ai ✍🏼 *Our docs:* https://dvc.org/doc (Data Version Control, Pipelines, Experiments) https://cml.dev/doc (CI/CD for Machine Learning) https://studio.iterative.ai (Team Collaboration, Experiments, Model Registry) *Join the Community on our Discord server:* https://discord.gg/W49xzNmycw #dvc #machinelearning #datascience #generativeai
DataChain Open-Source Release - A new way to manage your Unstructured Data
DataChain Open-Source Release - A new way to manage your Unstructured Data ⭐️ Star the repo and get started: https://github.com/iterative/datachain See Dmitry's blog post on the thought process behind the tool: https://dvc.ai/blog/datachain-release Find out more at https://dvc.ai
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