Snorkel AI

APRIL 24, 2024

Snorkel AI is excited to announce several new features released in Snorkel Flow, the latest version of our programmatic AI data development platform. The post Discover what’s new in Snorkel Flow: Flexible data and LLM connectivity, secure data controls, and more! appeared first on Snorkel AI.

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Snorkel AI

MARCH 27, 2024

In just a few weeks, Snorkel is excited to join Google in sunny Las Vegas for Google Cloud Next (April 9-11). At Google Cloud Next, you’ll have the opportunity to hear directly from Snorkel, Google, and AI innovators like Wayfair and Wells Fargo about how you can move AI prototypes into production by programmatically developing your data.

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Snorkel AI

MARCH 27, 2024

In just a few weeks, Snorkel is excited to join Google in sunny Las Vegas for Google Cloud Next (April 9-11). At Google Cloud Next, you’ll have the opportunity to hear directly from Snorkel, Google, and AI innovators like Wayfair and Wells Fargo about how you can move AI prototypes into production by programmatically developing your data.

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Snorkel AI

JANUARY 24, 2024

Snorkel AI ranked 2nd, behind only GPT-4 Turbo, in our recent submission to AlpacaEval 2.0 This result was achieved with only an open-source 7B parameter model, thanks to Snorkel AI’s state-of-the-art methods for LLM customization. We have some cool news to share! LLM leaderboard. to follow general user instructions.

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Snorkel AI

JUNE 12, 2023

The Snorkel team’s mission over the last eight-plus years has been to make AI data development first-class and programmatic so that it can look more like an afternoon of software development than months of outsourced manual annotation. In practice, data-centric operations have become one of the largest blockers to AI value realization.

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Snorkel AI

OCTOBER 13, 2023

The Snorkel Flow data development platform makes it easy for users to do so, making large language models like GPT-3.5 Turbo using Snorkel Flow in two ways: A user-friendly interface for accessing and fine-tuning all available models. A built-in Jupyter notebook for advanced training customization. Let’s get started.

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Snorkel AI

DECEMBER 12, 2023

Co-founder Sean Earley recently investigated how financial institutions could use Google Dialogflow with Snorkel Flow to build better chatbots for retail banking. Businesses use chatbots to handle an increasing share of customer interactions. This is where Snorkel AI comes in. His investigation produced this guide.

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Snorkel AI

JUNE 12, 2023

The Snorkel team’s mission over the last eight-plus years has been to make AI data development first-class and programmatic so that it can look more like an afternoon of software development than months of outsourced manual annotation. In practice, data-centric operations have become one of the largest blockers to AI value realization.

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Snorkel AI

MAY 1, 2024

phData Senior ML Engineer Ryan Gooch recently evaluated options to accelerate ML model deployment with Snorkel Flow and AWS SageMaker. This involves developing and tuning a model customized to extract rich insights from invoices using Snorkel’s data development platform and deploying with AWS Sagemaker.

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Snorkel AI

OCTOBER 13, 2023

The Snorkel Flow data development platform makes it easy for users to do so, making large language models like GPT-3.5 Turbo using Snorkel Flow in two ways: A user-friendly interface for accessing and fine-tuning all available models. A built-in Jupyter notebook for advanced training customization. Let’s get started.

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Snorkel AI

OCTOBER 23, 2023

Executive summary Wayfair, the leading home goods and furniture e-commerce retailer, offers over 40M products to 22 M customers. Wayfair relies on machine learning (ML) and product tagging to ensure customer searches result in relevant products. To ensure that relevant products appear in customer searches (e.g.

ML 64

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Snorkel AI

DECEMBER 12, 2023

Co-founder Sean Earley recently investigated how financial institutions could use Google Dialogflow with Snorkel Flow to build better chatbots for retail banking. Businesses use chatbots to handle an increasing share of customer interactions. This is where Snorkel AI comes in. His investigation produced this guide.

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Snorkel AI

NOVEMBER 28, 2023

The Snorkel Flow data development platform makes it easy for users to do so, making LLMs like Llama 2 work better for their domain and enterprise requirements. In this guide, we will explore how to fine-tune Llama 2 using Snorkel Flow in two ways: A user-friendly interface for accessing and fine-tuning all available models.

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Snorkel AI

NOVEMBER 28, 2023

The Snorkel Flow data development platform makes it easy for users to do so, making LLMs like Llama 2 work better for their domain and enterprise requirements. In this guide, we will explore how to fine-tune Llama 2 using Snorkel Flow in two ways: A user-friendly interface for accessing and fine-tuning all available models.

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Snorkel AI

MAY 1, 2024

In many cases, machine learning (ML) teams tap research-based and industry-proven startups like Snorkel AI to capitalize on cutting-edge techniques and integrate this technology with trusted, mature enterprise platforms to build AI solutions they can operationalize at scale.

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Snorkel AI

OCTOBER 23, 2023

Executive summary Wayfair, the leading home goods and furniture e-commerce retailer, offers over 40M products to 22 M customers. Wayfair relies on machine learning (ML) and product tagging to ensure customer searches result in relevant products. To ensure that relevant products appear in customer searches (e.g.

ML 59

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Snorkel AI

APRIL 27, 2023

Here at Snorkel AI, we devote our time to building and maintaining our machine-learning development platform, Snorkel Flow. Snorkel Flow handles intense machine learning workloads, and we’ve built our infrastructure on a foundation of Kubernetes—which was not designed with machine learning in mind.

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Snorkel AI

APRIL 27, 2023

Here at Snorkel AI, we devote our time to building and maintaining our machine-learning development platform, Snorkel Flow. Snorkel Flow handles intense machine learning workloads, and we’ve built our infrastructure on a foundation of Kubernetes—which was not designed with machine learning in mind.

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Snorkel AI

OCTOBER 18, 2023

From onboarding new customers to analyzing pictures or videos of damages for evaluation, machine learning (ML) and AI offer exciting possibilities for optimization and cost-saving across the insurance industry. Accelerate development by providing the basis for custom AI applications. billion in annual loss.

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Snorkel AI

JANUARY 24, 2024

Snorkel AI ranked 2nd, behind only GPT-4 Turbo, in our recent submission to AlpacaEval 2.0 This result was achieved with only an open-source 7B parameter model, thanks to Snorkel AI’s state-of-the-art methods for LLM customization. We have some cool news to share! LLM leaderboard. to follow general user instructions.

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Snorkel AI

APRIL 24, 2024

This is where the Snorkel Flow AI data development platform comes in. Our latest release of Snorkel Flow, we introduced a prompting-first workflow for document intelligence. It’s a daunting problem, and we will begin solving it with an FM in Snorkel Flow.

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Snorkel AI

APRIL 24, 2024

This is where the Snorkel Flow AI data development platform comes in. Our latest release of Snorkel Flow, we introduced a prompting-first workflow for document intelligence. It’s a daunting problem, and we will begin solving it with an FM in Snorkel Flow.

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Snorkel AI

APRIL 9, 2024

Back in January, Snorkel AI placed a model at the top of the AlpacaEval leaderboard. If you look at the AlpacaEval leaderboard now, you won’t see Snorkel at the top. What does this mean for Snorkel Flow customers? Snorkel AI is a research-led company, but we don’t just do research for fun. Good” requires context.

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Snorkel AI

APRIL 19, 2023

Uniphore , a conversational AI and automation leader, has chosen Snorkel’s data-centric AI platform to scale data labeling and acclerate ML model development. This will equip Uniphore to demonstrate value faster and has the potential to significantly shorten customer onboarding time.

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Snorkel AI

APRIL 19, 2023

Uniphore , a conversational AI and automation leader, has chosen Snorkel’s data-centric AI platform to scale data labeling and acclerate ML model development. This will equip Uniphore to demonstrate value faster and has the potential to significantly shorten customer onboarding time.

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Snorkel AI

OCTOBER 18, 2023

From onboarding new customers to analyzing pictures or videos of damages for evaluation, machine learning (ML) and AI offer exciting possibilities for optimization and cost-saving across the insurance industry. Accelerate development by providing the basis for custom AI applications. billion in annual loss.

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Snorkel AI

SEPTEMBER 26, 2023

How Snorkel AI is builds better AI trade surveillance Snorkel AI offers a data-centric AI platform to help businesses build and deploy custom AI applications quickly and efficiently. Snorkel allows users to deploy their custom-trained models on-premises or in the cloud. Use case customization.

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Snorkel AI

OCTOBER 4, 2023

ML can significantly reduce the time necessary to pre-process customer data for downstream tasks, like training predictive models. Financial institutions can train custom ML models on a variety of data points, both traditional and non-traditional. Turbo, and LLama to jumpstart custom models that address creditworthiness.

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Snorkel AI

APRIL 3, 2024

Concurrently, researchers in academia and here at Snorkel AI increasingly understand that data scientists must enforce evaluation methods to make these powerful tools valuable in any setting. LLM evaluation in the enterprise At Snorkel, we think that CRFM’s guiding principles can apply in the enterprise setting as well—with a twist.

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Snorkel AI

SEPTEMBER 21, 2023

How LLMs can be customized for clinical trials Foundation models (FMs) such as large language models (LLMs) can accelerate the development of accurate, time-saving AI applications for clinical trials. For clinical trials, LLMs customized with Snorkel Flow can: Provide an initial source of label signal. Chat with us today!

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Snorkel AI

AUGUST 24, 2023

Banks receive millions of complaints each year from customers, employees, and regulators. Handling complaints effectively and efficiently is essential to maintain customer satisfaction and protect the bank’s reputation. Providing compensation if it finds that the customer was harmed by the problem. Model explainability.

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Snorkel AI

AUGUST 24, 2023

Banks receive millions of complaints each year from customers, employees, and regulators. Handling complaints effectively and efficiently is essential to maintain customer satisfaction and protect the bank’s reputation. Providing compensation if it finds that the customer was harmed by the problem. Model explainability.

AI 52

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Snorkel AI

AUGUST 24, 2023

Banks receive millions of complaints each year from customers, employees, and regulators. Handling complaints effectively and efficiently is essential to maintain customer satisfaction and protect the bank’s reputation. Providing compensation if it finds that the customer was harmed by the problem. Model explainability.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

Snorkel AI

SEPTEMBER 26, 2023

How Snorkel AI is builds better AI trade surveillance Snorkel AI offers a data-centric AI platform to help businesses build and deploy custom AI applications quickly and efficiently. Snorkel allows users to deploy their custom-trained models on-premises or in the cloud. Use case customization.

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Snorkel AI

JANUARY 5, 2023

Last month Snorkel AI highlighted how we’re deepening our partnership with Microsoft Azure AI to help enterprises and government agencies solve their most impactful problems. Check out this demo to see how Snorkel Flow can be used to easily and quickly train Azure Form Recognizer custom models.

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Snorkel AI

JUNE 2, 2023

Databricks customers can now access millions of rows of data seamlessly within the Snorkel Flow platform thanks to a new Databricks connector. Data-centric AI development with Snorkel Flow One of the most painstaking and time-consuming issues with developing AI applications is the process of curating and labeling unstructured data.

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Snorkel AI

JUNE 2, 2023

Databricks customers can now access millions of rows of data seamlessly within the Snorkel Flow platform thanks to a new Databricks connector. Data-centric AI development with Snorkel Flow One of the most painstaking and time-consuming issues with developing AI applications is the process of curating and labeling unstructured data.

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