Snorkel AI

NOVEMBER 16, 2023

in-house to build production deployable models. Between the proliferation of available models and team upskilling, that’s no longer true. This summer, I gave a presentation titled “Leveraging Foundation Models and LLMs for Enterprise-Grade NLP” at Snorkel AI’s Future of Data-Centric AI virtual conference. Low accuracy.

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AI AI ML ML 52

Snorkel AI

NOVEMBER 9, 2023

LLM distillation will become a much more common and important practice for data science teams in 2024, according to a poll of attendees at Snorkel AI’s 2023 Enterprise LLM Virtual Summit. Only about a third of respondents (36%) said that their company had distilled any smaller models from LLMs so far.

Data Scientist 59

Data Scientist Data Science AI AI 59

Snorkel AI

NOVEMBER 9, 2023

LLM distillation will become a much more common and important practice for data science teams in 2024, according to a poll of attendees at Snorkel AI’s 2023 Enterprise LLM Virtual Summit. Only about a third of respondents (36%) said that their company had distilled any smaller models from LLMs so far.

Data Scientist 59

Data Scientist Data Science AI AI 59

Snorkel AI

OCTOBER 13, 2023

Fine-tuning pre-trained large language models like OpenAI’s GPT-3.5 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.

Machine Learning 64

Machine Learning Machine Learning AI AI 64

Snorkel AI

NOVEMBER 28, 2023

Fine-tuning pre-trained large language models like Meta’s Llama 2 adapts them to specific tasks, ensuring higher quality results and achieving reliable output formatting. 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.

Data Science 59

Data Science Machine Learning Machine Learning AI 59

Snorkel AI

NOVEMBER 28, 2023

Fine-tuning pre-trained large language models like Meta’s Llama 2 adapts them to specific tasks, ensuring higher quality results and achieving reliable output formatting. 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.

Data Science 59

Data Science Machine Learning Machine Learning AI 59

Snorkel AI

OCTOBER 13, 2023

Fine-tuning pre-trained large language models like OpenAI’s GPT-3.5 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.

Machine Learning 59

Machine Learning Machine Learning AI AI 59

Snorkel AI

FEBRUARY 13, 2024

Large language model distillation isolates LLM performance on a specific task and mirrors its functionality in a smaller format. This lets developers get the same results they would get from an enormous model like GPT-4 at a lower cost and higher velocity—albeit only on that specific task. That’s where distillation comes in.

Data Scientist 52

Data Scientist Data Science AI AI 52

Snorkel AI

FEBRUARY 13, 2024

Large language model distillation isolates LLM performance on a specific task and mirrors its functionality in a smaller format. This lets developers get the same results they would get from an enormous model like GPT-4 at a lower cost and higher velocity—albeit only on that specific task. That’s where distillation comes in.

Data Scientist 52

Data Scientist Data Science AI AI 52

Snorkel AI

AUGUST 24, 2023

Banks cannot send their sensitive customer data to crowd labelers or to third-party models without compromising security. Snorkel’s weak supervision sorts through labeling function signals and determines which label is most likely correct. Model explainability. Training and distilling models.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

Snorkel AI

AUGUST 24, 2023

Banks cannot send their sensitive customer data to crowd labelers or to third-party models without compromising security. Snorkel’s weak supervision sorts through labeling function signals and determines which label is most likely correct. Model explainability. Training and distilling models.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

Snorkel AI

AUGUST 24, 2023

Banks cannot send their sensitive customer data to crowd labelers or to third-party models without compromising security. Snorkel’s weak supervision sorts through labeling function signals and determines which label is most likely correct. Model explainability. Training and distilling models.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

Snorkel AI

OCTOBER 4, 2023

Traditional credit scoring models rely on static variables and historical data like income, employment, and debt-to-income ratio. ML can significantly reduce the time necessary to pre-process customer data for downstream tasks, like training predictive models. Supercharge predictive modeling.

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Snorkel AI

SEPTEMBER 21, 2023

This leads to a lack of quality datasets with which to train AI models, which can also be an expensive and labor-intensive process. 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.

AI 64

AI AI Natural Language Processing Data Scientist 64

Snorkel AI

JULY 14, 2023

We are thrilled to announce the latest edition of Snorkel Flow, our platform to rapidly build, manage, and deploy predictive AI applications (e.g., classification, information extraction) using programmatic labeling, fine-tuning, and distillation. Learn more about the Foundation Model Data Platform here.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Snorkel AI

JULY 14, 2023

We are thrilled to announce the latest edition of Snorkel Flow, our platform to rapidly build, manage, and deploy predictive AI applications (e.g., classification, information extraction) using programmatic labeling, fine-tuning, and distillation. Learn more about the Foundation Model Data Platform here.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Snorkel AI

OCTOBER 4, 2023

Traditional credit scoring models rely on static variables and historical data like income, employment, and debt-to-income ratio. ML can significantly reduce the time necessary to pre-process customer data for downstream tasks, like training predictive models. Supercharge predictive modeling.

AI 59

AI AI ML ML 59

Snorkel AI

SEPTEMBER 21, 2023

This leads to a lack of quality datasets with which to train AI models, which can also be an expensive and labor-intensive process. 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.

AI 59

AI AI Natural Language Processing Data Scientist 59

Snorkel AI

AUGUST 8, 2023

While AI can significantly improve and speed up email surveillance efforts, many banks struggle to build sufficient datasets to train models. How Snorkel AI builds better AI for email monitoring Snorkel AI offers a data-centric AI platform that helps businesses build and deploy AI applications quickly and efficiently.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

Snorkel AI

AUGUST 8, 2023

While AI can significantly improve and speed up email surveillance efforts, many banks struggle to build sufficient datasets to train models. How Snorkel AI builds better AI for email monitoring Snorkel AI offers a data-centric AI platform that helps businesses build and deploy AI applications quickly and efficiently.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

Snorkel AI

OCTOBER 27, 2023

Snorkel AI held its Enterprise LLM Virtual Summit on October 26, 2023, drawing an engaged crowd of more than 1,000 attendees across three hours and eight sessions that featured 11 speakers. Instead, distill them into smaller, specialized models using data-centric workflows. LLMs are large and expensive to operate in production.

Data Scientist 69

Data Scientist Machine Learning Machine Learning AI 69

Snorkel AI

MARCH 30, 2023

We’re thrilled to introduce the latest release of our data-centric AI development platform, Snorkel Flow. At the forefront of this Snorkel Flow release are new capabilities for adapting foundation models for enterprise use. Rapid, model-guided iteration with New Studio for all core ML tasks.

ML 98

ML ML Supervised Learning Azure 98

Snorkel AI

NOVEMBER 1, 2023

We are delighted to announce the latest release of Snorkel Flow. A deep dive into the new streamlined app creation workflow We’ve redesigned our app setup workflow to allow users to effortlessly set up new AI applications on Snorkel Flow with just a few clicks. Revamped Snorkel Flow SDK Also included in the 2023.R3

ML 64

ML ML Machine Learning Machine Learning 64

Snorkel AI

OCTOBER 27, 2023

Snorkel AI held its Enterprise LLM Virtual Summit on October 26, 2023, drawing an engaged crowd of more than 1,000 attendees across three hours and eight sessions that featured 11 speakers. Instead, distill them into smaller, specialized models using data-centric workflows. LLMs are large and expensive to operate in production.

Data Scientist 59

Data Scientist Machine Learning Machine Learning AI 59

Snorkel AI

NOVEMBER 1, 2023

We are delighted to announce the latest release of Snorkel Flow. A deep dive into the new streamlined app creation workflow We’ve redesigned our app setup workflow to allow users to effortlessly set up new AI applications on Snorkel Flow with just a few clicks. Revamped Snorkel Flow SDK Also included in the 2023.R3

ML 59

ML ML Data Preparation AI 59

Snorkel AI

NOVEMBER 2, 2023

Over the past decade, the evolution of AI has been deeply marked by the rise of large language models (LLMs), notably powerful innovations such as OpenAI’s GPT series, Meta’s Llama 2, and Google’s PaLM 2. Yet, like newly recruited employees, these models often have a broad but shallow knowledge base.

AI 59

AI AI Machine Learning Machine Learning 59

Snorkel AI

NOVEMBER 2, 2023

Over the past decade, the evolution of AI has been deeply marked by the rise of large language models (LLMs), notably powerful innovations such as OpenAI’s GPT series, Meta’s Llama 2, and Google’s PaLM 2. Yet, like newly recruited employees, these models often have a broad but shallow knowledge base.

AI 59

AI AI Machine Learning Machine Learning 59

Snorkel AI

OCTOBER 12, 2023

Snorkel AI hosted the 2023 installment of its Future of Data-Centric AI virtual conference in June. Closing Keynote: LLMOps: Making LLM Applications Production-Grade Large language models are fluent text generators, but they struggle at generating factual, correct content. Data-Driven Government: A Fireside Chat with the Former U.S.

AI 64

AI AI ML ML 64

Snorkel AI

OCTOBER 12, 2023

Snorkel AI hosted the 2023 installment of its Future of Data-Centric AI virtual conference in June. Closing Keynote: LLMOps: Making LLM Applications Production-Grade Large language models are fluent text generators, but they struggle at generating factual, correct content. Data-Driven Government: A Fireside Chat with the Former U.S.

AI 59

AI AI ML ML 59

Snorkel AI

MARCH 29, 2023

Fortunately, modern machine learning tools (including named-entity recognition) can help automate information extraction, and Snorkel AI’s Snorkel Flow platform can help users build effective applications around these tools quickly. Then, we begin training our first preliminary models using the data set.

Machine Learning 52

Machine Learning Machine Learning Clustering Data Scientist 52

Snorkel AI

MARCH 29, 2023

Fortunately, modern machine learning tools (including named-entity recognition) can help automate information extraction, and Snorkel AI’s Snorkel Flow platform can help users build effective applications around these tools quickly. Then, we begin training our first preliminary models using the data set.

Machine Learning 52

Machine Learning Machine Learning Clustering Data Scientist 52

Snorkel AI

JANUARY 24, 2023

Snorkel AI has teamed with Snowflake to help our shared customers transform raw, unstructured data into actionable, AI-powered insights. Our partnership with Snorkel AI can help make scalable data science on Snowflake more accessible across an organization to help drive business outcomes.

AI 52

AI AI ML ML 52

Snorkel AI

JANUARY 24, 2023

Snorkel AI has teamed with Snowflake to help our shared customers transform raw, unstructured data into actionable, AI-powered insights. Our partnership with Snorkel AI can help make scalable data science on Snowflake more accessible across an organization to help drive business outcomes.

AI 52

AI AI ML ML 52

Snorkel AI

FEBRUARY 27, 2023

Alex Ratner, CEO and co-founder of Snorkel AI, presented a high-level introduction to data-centric AI at Snorkel’s Future of Data-Centric AI virtual conference in 2022. Much more so than many other traditional elements—the particular model architecture, the particular serving platform—that are absolutely critical as well.

AI 52

AI AI Machine Learning Machine Learning 52

Snorkel AI

FEBRUARY 27, 2023

Alex Ratner, CEO and co-founder of Snorkel AI, presented a high-level introduction to data-centric AI at Snorkel’s Future of Data-Centric AI virtual conference in 2022. Much more so than many other traditional elements—the particular model architecture, the particular serving platform—that are absolutely critical as well.

AI 52

AI AI Machine Learning Machine Learning 52

Snorkel AI

JANUARY 11, 2023

Using Snorkel Flow, Pixability leveraged foundation models to build small, deployable classification models capable of categorizing videos across more than 600 different classes with 90% accuracy in just a few weeks. Using AI to help customers optimize ad spending and maximize their reach on YouTube.

Data Warehouse 52

Data Warehouse Natural Language Processing Data Scientist Data Quality 52

Snorkel AI

OCTOBER 31, 2023

The Snorkel AI team will present 18 research papers and talks at the 2023 Neural Information Processing Systems (NeurIPS) conference from December 10-16. The Snorkel papers cover a broad range of topics including fairness, semi-supervised learning, large language models (LLMs), and domain-specific models.

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