Snorkel AI

APRIL 9, 2024

Recently, I talked with Matt Casey, data science content lead at Snorkel AI, about how we built the model using direct preference optimization, how it changed the AlpacaEval leaderboard, and how it will help us build better, more useful large language models for Snorkel’s customers. This is tricky.

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Dataconomy

JULY 6, 2023

Like any emerging technology, there are numerous challenges in artificial intelligence that need to be addressed before AI can be widely adopted and its full potential realized. These challenges span various aspects of AI development, deployment, and utilization, collectively posing obstacles to its seamless integration into businesses and society.

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Smart Data Collective

JULY 1, 2023

We have mentioned that advances in Artificial intelligence have significantly changed the quality of images recently. AI has undoubtedly changed the quality of art as new tools like MidJourney become more popular. It involves human annotators using a tool to label images or tag relevant information. Below are a few of them.

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Snorkel AI

JANUARY 26, 2024

25 Enterprise LLM Summit: Building GenAI with Your Data drew over a thousand engaged attendees across three and a half hours and nine sessions. The eight speakers at the event—the second in our Enterprise LLM series—united around one theme: AI data development drives enterprise AI success. Snorkel AI’s Jan. Slides for this session.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

The IDP Well-Architected Lens is intended for all AWS customers who use AWS to run intelligent document processing (IDP) solutions and are searching for guidance on how to build secure, efficient, and reliable IDP solutions on AWS. This post focuses on the Operational Excellence pillar of the IDP solution.

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phData

JANUARY 10, 2024

We want to thank all our readers and those who use the phData Toolkit. For those who have partnered with us to build this tool or provided feedback, we want to give you explicit “Kudos!!!”. Hello, and welcome to our November update of our Toolkit blog series! Let’s dive in and take a look at the changes!

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AWS Machine Learning Blog

APRIL 27, 2023

In this post, we show how to incorporate human feedback on the incorrect reasoning chains for multi-hop reasoning to improve performance on these tasks. Our proposed methods perform competitively to chain-of-thought prompting using the base Flan-T5, and ours is better at judging the correctness of its own answer.

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AWS Machine Learning Blog

MAY 9, 2024

At Amazon, we believe innovation (rethink and reinvent) drives improved customer experiences and efficient processes, leading to increased productivity. At Amazon, we believe innovation (rethink and reinvent) drives improved customer experiences and efficient processes, leading to increased productivity. What is an AI/ML CoE?

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Dataconomy

DECEMBER 8, 2023

Taking a broader view, among the most interesting (and lesser-celebrated) areas where advanced tools look set to drive major change is data management. GenAI has significant potential to impact how data is accessed and evaluated, in a positive way. Or in short, enabling data-driven teams to run even better.

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Ocean Protocol

MARCH 10, 2023

What We’re Doing in 2023, and Why Ocean’s first phase was building the core infrastructure for the open data economy. It’s now entered its next phase: to drive data value-creation loops, by focusing on the users in the last mile. Data Scientists served by team Thresher (Stream 2) 5. Contents 1. Abstract 2. Introduction 3.

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Hacker News

APRIL 18, 2021

You know how crappy software is crappy in ways that are so blatantly obvious to the user that you wonder why it was released? There's a lot to learn from how the best companies build consumer products. How they use data to identify friction points, and constantly experiment with changes to make things easier.

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AWS Machine Learning Blog

NOVEMBER 8, 2023

This post explores how Amazon CodeWhisperer can help with code optimization for sustainability through increased resource efficiency. In this post, we discover how Amazon CodeWhisperer helps address these concerns and reduce the environmental footprint of your code. Therefore, AWS can help lower the workload carbon footprint up to 96%.

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Pickl AI

OCTOBER 18, 2023

How to Scale Your Data Quality Operations with AI and ML: In the fast-paced digital landscape of today, data has become the cornerstone of success for organizations across the globe. Every day, companies generate and collect vast amounts of data, ranging from customer information to market trends.

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IBM Journey to AI blog

FEBRUARY 12, 2024

Throughout modern history, organizations have encountered internal and external challenges that changed how they interact with customers and how customers view those organizations. They could more directly influence customer loyalty beyond the quality and price of their solutions. Customer needs changed.

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BAIR

JULY 14, 2023

This is typically motivated as a maximum likelihood estimation problem, where the model is trained to generate samples that match the training data as closely as possible. However, most use cases of diffusion models are not directly concerned with matching the training data, but instead with a downstream objective.

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IBM Journey to AI blog

APRIL 10, 2024

Where and how these applications are deployed will impact time to market and value realization. In fact, 83% of IT executives feel that modernization is central to their organization’s strategy, but only 27% say their organizations have modernized the requisite workflows (including applications, data and underlying systems).

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Snorkel AI

JANUARY 26, 2024

25 Enterprise LLM Summit: Building GenAI with Your Data drew over a thousand engaged attendees across three and a half hours and nine sessions. The eight speakers at the event—the second in our Enterprise LLM series—united around one theme: AI data development drives enterprise AI success. Snorkel AI’s Jan. Slides for this session.

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AWS Machine Learning Blog

DECEMBER 19, 2023

Artificial intelligence (AI) and machine learning (ML) are becoming an integral part of systems and processes, enabling decisions in real time, thereby driving top and bottom-line improvements across organizations. It’s about improving organization practices and delivering outcomes that are repeatable and reproducible at scale.

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Defined.ai blog

MARCH 20, 2023

It might comfort you to know that while LLMs provide unprecedented capabilities in replicating human competencies, they still have a long way to go and rely heavily on humans to curate and improve them. This reliance on a “human in the loop” represents major ethical considerations , as well as opportunities. How can I help you today?

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ODSC - Open Data Science

SEPTEMBER 19, 2023

As you can imagine, this requires people who are able to act as a bridge between data teams, marketing, users, etc. Through brainstorming sessions, user feedback analysis, and market research, they identify opportunities for enhancing the models they’re working on. Improve the accuracy and reliability of LLMs This is a big one.

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Dataconomy

MARCH 13, 2023

How to create an artificial intelligence? Key concepts of AI The following are some of the key concepts of AI: Data:  AI requires vast amounts of data to learn and improve its performance over time. The quality and quantity of data are crucial for the success of an AI system.

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DagsHub

FEBRUARY 14, 2024

Introduction The performance of a computer vision model isn't just about how it handles the typical scenarios; it's increasingly about how it tackles the atypical, the unusual, and the unexpected. These could include variations in lighting, unexpected object placements, or even flawed input data.

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Tableau

JUNE 12, 2023

We’ve curated all you need to know about the program, including what ambassadors do, what’s new this year, and how to nominate or apply. Tableau Ambassadors are leaders in our community and data champions who want to bring analytics to everyone. Ambassadors try out new things, and they push us to get better. Otherwise, read on.

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Google Research AI blog

FEBRUARY 14, 2023

Within our lifetimes, we will see robotic technologies that can help with everyday activities, enhancing human productivity and quality of life. Within our lifetimes, we will see robotic technologies that can help with everyday activities, enhancing human productivity and quality of life. You can find other posts in the series here.)

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AWS Machine Learning Blog

FEBRUARY 24, 2023

AWS recently released Amazon SageMaker geospatial capabilities to provide you with satellite imagery and geospatial state-of-the-art machine learning (ML) models, reducing barriers for these types of use cases. For more information, refer to Preview: Use Amazon SageMaker to Build, Train, and Deploy ML Models Using Geospatial Data.

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Defined.ai blog

MARCH 27, 2023

In the first part of our conversation , we discussed the importance of Human-in-the-loop for Language Large Models such as Chat GPT itself. We will now talk about how to crowdsource these annotations in an ethical manner. The instructions should be detailed and provide examples and guidelines for how to annotate the data.

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Snorkel AI

FEBRUARY 2, 2023

As machine learning practitioners, few of us would expect the first version of a new model to achieve our objective. We plan for multiple rounds of iteration to improve performance through error analysis, and the Snorkel Flow platform provides tools to enable this kind of iteration within the data-centric AI framework.

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Snorkel AI

FEBRUARY 2, 2023

As machine learning practitioners, few of us would expect the first version of a new model to achieve our objective. We plan for multiple rounds of iteration to improve performance through error analysis, and the Snorkel Flow platform provides tools to enable this kind of iteration within the data-centric AI framework.

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Pickl AI

AUGUST 7, 2023

However, the most complex and expensive type of Machine Learning trend in use is Labelled Data. They require human expertise to tell a machine about the different data types to help Artificial Intelligence learn it. Both labeled and unlabeled data are used in Machine Learning for different purposes.

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AssemblyAI

DECEMBER 23, 2022

ChatGPT is the latest language model from OpenAI and represents a significant improvement over its predecessor GPT-3. The creators have used a combination of both Supervised Learning and Reinforcement Learning to fine-tune ChatGPT, but it is the Reinforcement Learning component specifically that makes ChatGPT unique.

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ODSC - Open Data Science

APRIL 27, 2023

I will explore the reasons for this discrepancy between theory and practice and suggest that recent developments in machine learning will be necessary to improve the accuracy of predictions in biological systems. At the cellular level, researchers have identified the biochemical reactions within a cell and how they are regulated.

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Tableau

JUNE 15, 2021

We’ve curated all you need to know about the program, including what ambassadors do, community feedback and program changes, and how to nominate or apply. We can’t wait to empower the incoming ambassadors to continue supporting the world’s greatest data community. The incalculable impact of the 2020 Tableau Ambassadors.

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Heartbeat

DECEMBER 7, 2023

What are the new data governance trends, “Data Fabric” and “Data Mesh”? I decided to write a series of blogs on current topics: the elements of data governance that I have been thinking about, reading, and following for a while. What is the Data Fabric? I will define this later as the “Data Product.”

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DagsHub

MARCH 19, 2024

In fact, the project's success also depends on various factors, such as: The algorithms and frameworks used The data used for training The performance metrics The deployment platform So, it's important that you manage your computer vision projects well to ensure success.

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Alation

AUGUST 3, 2021

But where DevOps focuses on product development, DataOps aims to reduce the time from data need to data success. When DataOps is successful, organizations can realize immense improvements in how they find, use, and extract value from their data. What is DevOps? And so it goes. What is DataOps?

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AWS Machine Learning Blog

MARCH 29, 2023

In this post, we discuss how the IEO developed UNDP’s artificial intelligence and machine learning (ML) platform—named Artificial Intelligence for Development Analytics (AIDA)— in collaboration with AWS, UNDP’s Information and Technology Management Team (UNDP ITM), and the United Nations International Computing Centre (UNICC).

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AWS Machine Learning Blog

MARCH 13, 2023

Amazon SageMaker Ground Truth Plus is a managed data labeling service that makes it easy to label data for machine learning (ML) applications. One common use case is semantic segmentation, which is a computer vision ML technique that involves assigning class labels to individual pixels in an image.

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