Dataconomy

MAY 16, 2023

These resources have the ability to boost efficiency, facilitate better decisions, and open the door to novel approaches. A major problem with many AI products, however, is that their price tags make them out of reach for many people. AI has a lot of great tools, but unfortunately, not all of them are free.

AI 202

AI AI Artificial Intelligence Artificial Intelligence 202

Snorkel AI

FEBRUARY 13, 2024

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. Generalized LLMs faced with specialized tasks typically fall short of production-grade accuracy. That’s much closer to production-grade performance, but not close enough.

Data Scientist 52

Data Scientist Data Science AI AI 52

Snorkel AI

FEBRUARY 13, 2024

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. Generalized LLMs faced with specialized tasks typically fall short of production-grade accuracy. That’s much closer to production-grade performance, but not close enough.

Data Scientist 52

Data Scientist Data Science AI AI 52

The MLOps Blog

MARCH 23, 2023

2 Different strategies to reduce the costs associated with these challenges. You may also like How to Deploy NLP Models in Production 10 NLP Projects to Boost Your Resume Challenges of large NLP models Computational resources LLMs require is a significant amount of resources for optimal performance. For instance, a 1.5B

Natural Language Processing 115

Natural Language Processing Cloud Computing AWS Deep Learning 115

Smart Data Collective

SEPTEMBER 26, 2019

For business owners, one of the most significant benefits of using smart data is reducing business costs in some way. Reduce Employee Churn. Reduce Employee Churn. Implementing smart data as part of your human resources methods may help reduce the number of new hires who aren’t a good fit for your company.

Internet of Things 70

Internet of Things Big Data Big Data Business Intelligence 70

Smart Data Collective

SEPTEMBER 13, 2022

In today’s more competitive, technology-driven corporate environment, all firms seeking to increase activity and productivity are reaping the benefits of the software world. Companies of all sizes are already embracing SaaS as the superior alternative to on-premise hardware and software development.

Cloud Computing 102

Cloud Computing Artificial Intelligence Artificial Intelligence Big Data 102

Precisely

JULY 20, 2023

And as the hyperautomation trend grows, supporting citizen developers who can drive process automation across your entire organization is key. If you are in the process of identifying the relevant components and tools needed to execute it successfully, this paper is for you. Read How does it work for real-world use cases?

Data Quality 40

Data Quality 40

Hacker News

JULY 2, 2023

Mr. Jobs contributed relatively little to the technical design of the Macintosh, but he had a clear vision of the product from the beginning. He challenged the project team to design the best product possible and encouraged the team by shielding them from bureaucratic pressures within the company. Jobs was made its manager.

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PyImageSearch

MARCH 4, 2024

It’s like it develops its own internal grammar and vocabulary encyclopedia on a scale that even the smartest linguist would envy. Think smooth conversations, good understanding, and generation — the AI workhorse powering many existing Google products. Okay, but why “Gemini”? Ultra model. Pro: Your solid all-rounder.

AI 67

AI AI Deep Learning Deep Learning 67

AWS Machine Learning Blog

MAY 24, 2023

Natural language processing (NLP) is one of the recent developments in IDP that has improved accuracy and user experience. By harnessing generative AI technologies, organizations can streamline IDP workflows, enhance user experience, and boost overall efficiency. However, despite these advances, there are still challenges to overcome.

AI 73

AI AI AWS ML 73

The MLOps Blog

APRIL 20, 2023

In this blog post, I’ll share my own experiences and the hard-won insights I’ve gained from designing, building, and deploying cutting-edge CV models across various platforms like cloud, on-premise, and edge devices. Data augmentation Data augmentation is essential for boosting the size and diversity of your dataset.

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ML ML Cross Validation Data Quality 65