Snorkel AI

JUNE 2, 2023

Weeks later, on June 29, Snorkel AI Founding Engineer and Product Director Vincent Chen will present at “ Building AI-Powered Products with Foundation Models ” at the Databricks Data + AI Summit. Snorkel AI solves this bottleneck with Snorkel Flow, a novel data-centric AI platform.

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Machine Learning Large Language Models Data Science ML 52

Snorkel AI

OCTOBER 4, 2023

Some may choose to experiment with non-traditional data sources like digital footprints or recurring streaming payments to predict repayment behavior. How foundation models jumpstart AI development Foundation models (FMs) represent a massive leap forward in AI development.

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AI AI Data Scientist Neural Network 64

Snorkel AI

OCTOBER 4, 2023

Some may choose to experiment with non-traditional data sources like digital footprints or recurring streaming payments to predict repayment behavior. How foundation models jumpstart AI development Foundation models (FMs) represent a massive leap forward in AI development.

AI 59

AI AI Data Scientist Neural Network 59

TheSequence

OCTOBER 23, 2023

In this guest post, Sergei Tilga, R&D Lead at Toloka AI, offers practical insights on the power of combining Large Language Models (LLMs) and human annotators in data labeling projects to optimize for quality while also reducing costs. Toloka can help you in every stage of the AI development process.

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LLM Large Language Models Automation Data Quality 59

Snorkel AI

MARCH 14, 2023

Users are able to rapidly improve training data quality and model performance using integrated error analysis and model-guided feedback to develop highly accurate and adaptable AI applications. Schedule a custom demo tailored to your use case with our ML experts today.

Data Scientist 52

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Snorkel AI

MARCH 14, 2023

Users are able to rapidly improve training data quality and model performance using integrated error analysis and model-guided feedback to develop highly accurate and adaptable AI applications. Schedule a custom demo tailored to your use case with our ML experts today.

Data Scientist 52

Data Scientist Data Drift AI AI 52

John Snow Labs

OCTOBER 19, 2023

One reason for this bias is the data used to train these models, which often reflects historical gender inequalities present in the text corpus. To address gender bias in AI, it’s crucial to improve the data quality by including diverse perspectives and avoiding the perpetuation of stereotypes.

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IBM Journey to AI blog

JANUARY 9, 2024

According to CNN, some companies imposed internal bans on generative AI tools while they seek to better understand the technology and many have also blocked the use of internal ChatGPT. In the generative AI or traditional AI development cycle, data ingestion serves as the entry point.

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AWS Machine Learning Blog

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses.

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Towards AI

APRIL 2, 2024

However, the AI community has also been making a lot of progress in developing capable, smaller, and cheaper models. This can come from algorithmic improvements and more focus on pretraining data quality, such as the new open-source DBRX model from Databricks. Why should you care?

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Snorkel AI

FEBRUARY 27, 2023

But I want to at least give our perspective on what motivated us back in 2015 to start talking about this and to start studying it back at Stanford, where the Snorkel team started: this idea of a shift from model-centric to data-centric AI development. We’ve been doing a lot of work on it at the company.

Machine Learning 52

Machine Learning AI AI Large Language Models 52

Snorkel AI

FEBRUARY 27, 2023

But I want to at least give our perspective on what motivated us back in 2015 to start talking about this and to start studying it back at Stanford, where the Snorkel team started: this idea of a shift from model-centric to data-centric AI development. We’ve been doing a lot of work on it at the company.

Machine Learning 52

Machine Learning AI AI Large Language Models 52

Topbots

DECEMBER 19, 2023

The NeurIPS 2023 conference, held in the vibrant city of New Orleans from December 10th to 16th, had a particular emphasis on generative AI and large language models (LLMs). One of the core themes of this year’s conference was the quest for more efficient AI systems.

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Computer Vision Natural Language Processing AI Researcher AI Research 52

O'Reilly Media

NOVEMBER 28, 2023

People with AI skills have always been hard to find and are often expensive. While experienced AI developers are starting to leave powerhouses like Google, OpenAI, Meta, and Microsoft, not enough are leaving to meet demand—and most of them will probably gravitate to startups rather than adding to the AI talent within established companies.

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Topbots

SEPTEMBER 11, 2023

While each of them offers exciting perspectives for research, a real-life product needs to combine the data, the model, and the human-machine interaction into a coherent system. AI development is a highly collaborative enterprise. Don’t rush AI implementations driven by hype and without market-side validation.

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NVIDIA

JULY 13, 2023

Generative AI — the ability of algorithms to create new text, images, sounds, animations, 3D models and even computer code — is moving at warp speed, transforming the way people work and play. Financial Transformers , or “FinFormers,” can learn context and understand the meaning of unstructured financial data.

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Unite.AI

SEPTEMBER 4, 2023

Large Language Models (LLMs) capable of complex reasoning tasks have shown promise in specialized domains like programming and creative writing. Developed by Meta with its partnership with Microsoft, this open-source large language model aims to redefine the realms of generative AI and natural language understanding.

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ChatGPT Auto-complete Large Language Models LLM 290

Marktechpost

APRIL 4, 2024

It includes database context such as table and view create statements, natural language explanations of the SQL queries, and contextual tags to optimize model training. The Significance of Text-to-SQL In today’s data-centric world, the ability to swiftly and accurately extract insights from databases is crucial.

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