Data Science Dojo

AUGUST 28, 2023

Similar to traditional Machine Learning Ops (MLOps), LLMOps necessitates a collaborative effort involving data scientists, DevOps engineers, and IT professionals. Data prep and prompt engineering Data preparation: The data that is used to train an LLM needs to be prepared in a specific way.

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ODSC - Open Data Science

DECEMBER 7, 2023

Video of the Week: Notion’s ML Engineering: Search & Ranking Models using Snowflake & Qwak Check out this on-demand webinar where Snowflake and Qwak delve deep into the mechanics of Notion’s Search & Ranking Machine Learning Model using Snowflake and Qwak.

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NYU Center for Data Science

JULY 7, 2023

This entree is a part of our Meet the Fellow blog series, which introduces and highlights Faculty Fellows who have recently joined CDS Incoming CDS Faculty Fellow, Yoav Wald Meet Yoav Wald, who will join CDS as a Faculty Fellow this fall. While at the Hebrew University of Jerusalem, he received excellence awards for teaching.

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AWS Machine Learning Blog

OCTOBER 6, 2023

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. For instance, in an application that recommends movies, features could include previous ratings, preference categories, and demographics.

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Heartbeat

MARCH 13, 2024

train_gen = train_datagen.flow_from_dataframe(train_df, train_dir, x_col='filename', y_col='category', target_size=img_size, class_mode='binary', batch_size=batch_size) validation_datagen = ImageDataGenerator(rescale=1./255) 255, shear_range=0.1, zoom_range=0.2, horizontal_flip=True, width_shift_range=0.1,

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Towards AI

FEBRUARY 15, 2023

Microsoft announced an AI-powered version of the Bing search engine that incorporates OpenAI’s ChatGPT technology into its Edge browser. This week we published a new blog Learn Prompting 101: Prompt Engineering Course & Challenges as a summary of Prompt Engineering and how to talk to LLMs and get the most out of them.

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DataRobot

AUGUST 25, 2021

In a recent blog, we talked about how, at DataRobot , we organize trust in an AI system into three main categories: trust in the performance in your AI/machine learning model , trust in the operations of your AI system, and trust in the ethics of your modelling workflow, both to design the AI system and to integrate it with your business process.

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Dataconomy

OCTOBER 27, 2023

In a recent blog post, OpenAI highlighted certain risk categories that the Preparedness team focuses on. Killswitch engineer at OpenAI: A role under debate In line with OpenAI’s mission OpenAI has always aimed to create safe artificial general intelligence (AGI).

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AWS Machine Learning Blog

NOVEMBER 17, 2023

A rules engine evaluates moderation guidelines, determining the frequency of stream sampling and the applicable moderation categories, all within predefined policies. The rules engine alerts human moderators upon detecting violations in the video streams. This process involves the utilization of both ML and non-ML algorithms.

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phData

MARCH 29, 2024

Founded in 2014 by three leading cloud engineers, phData focuses on solving real-world data engineering, operations, and advanced analytics problems with the best cloud platforms and products. In this blog, we’ll explore the phData Toolkit, why the Advisor Tool is an integral part of it, and the top 5 use cases for the Advisor Tool.

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Pickl AI

NOVEMBER 3, 2023

Data School by Kevin Markham Category: Tutorials and Python Programming Subscribers: 216K Link to the Channel: [link] It is a treasure trove of Data Science tutorials. If you too are a curious soul like me and want to explore more about Data Science, this blog will be helpful for you. Freecodecamp Category: Data Science Subscribers: 8.35

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Iguazio

MARCH 31, 2024

In this blog post, we dive deep into these use cases and their business and operational impact. For more details on this topic, you can watch the webinar this blog post is based on. Distinctive - Novel capabilities that leverage complex data orchestration and advanced engineering. This also helps with agent ramp-up.

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Hacker News

JULY 12, 2023

This post is part of a short series about my experience in the VP of Engineering role at Honeycomb. In February of 2020, I was promoted from Director of Engineering to Honeycomb’s first VP of Engineering. Not the plan I didn’t join Honeycomb with the goal of becoming an engineering executive.

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Mlearning.ai

OCTOBER 2, 2023

This category is further bifurcated into: Adapters : Introducing small fully connected networks post-Transformer sub-layers, adapters have proven to be remarkably parameter-efficient, achieving competitive performance with less than 4% of the total model parameters being tuned. Read the lora paper for more, here. Dettmers, Tim, et al.

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AWS Machine Learning Blog

OCTOBER 24, 2023

This post is co-authored by Dhurjati Brahma, Senior Systems Architect at T-Mobile US, Inc and Jim Chao, Principal Engineer/Architect at T-Mobile US, Inc and Nicholas Zellerhoff Associate Systems Architect at T-Mobile US, Inc. He holds a Master’s degree in Electrical Engineering from University of Alabama at Birmingham.

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Data Science Blog

JUNE 30, 2023

The post Monitoring of Jobskills with Data Engineering & AI appeared first on Data Science Blog. Over the time, it will provides you the answer on your questions related to which tool to learn! For DATANOMIQ this is a show-case of the coming Data as a Service ( DaaS ) Business.

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AWS Machine Learning Blog

MARCH 4, 2024

The future of generative AI Looking ahead, customers will build entirely new categories of generative AI-powered applications and experiences with the latest generation of models. With use of Claude on Amazon Bedrock, we’re thrilled to get even higher accuracy in our experiments with processing and summarizing capabilities.

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Pickl AI

JULY 25, 2023

Unfolding the difference between data engineer, data scientist, and data analyst. Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. Machine learning engineers specialize in designing, building, and deploying machine learning models at scale.

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Heartbeat

JANUARY 24, 2024

Pie Chart: The pie chart is identical to the CountPlot, but it additionally provides information about the percentage of each category included in the data, which indicates which category is receiving how much weight in the data. We’re committed to supporting and inspiring developers and engineers from all walks of life.

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IBM Journey to AI blog

MAY 1, 2023

In this blog post, we will review the various methods of GCP cloud cost management, what problems they address and how GCP users can best use them. Migrate for Compute Engine is a GCP tool that has a right-sizing feature that recommends instance types for optimized cost and performance.

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IBM Journey to AI blog

AUGUST 15, 2023

The functionality has been expanded to capture savings and investments across various categories, including accounts, resource groups, regions and action types (among others). In addition to the default views, users have the flexibility to manually add these widgets to any supported entity type or create a custom dashboard.

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AWS Machine Learning Blog

NOVEMBER 15, 2023

Prompt engineering has become an essential skill for anyone working with large language models (LLMs) to generate high-quality and relevant texts. Although text prompt engineering has been widely discussed, visual prompt engineering is an emerging field that requires attention.

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DataRobot Blog

JULY 13, 2022

DataRobot is a category-defining company that has set an unmatched pace of innovation in the market. Of the 15 AI/ML platform vendors evaluated, DataRobot was one of just three leaders, receiving the highest score possible in the market approach, performance, and partner ecosystem criteria within the strategy category.

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AWS Machine Learning Blog

MAY 5, 2023

To create this app, they need a high-quality dataset containing clothing images, labeled with different categories. Solution overview Ground Truth is a fully self-served and managed data labeling service that empowers data scientists, machine learning (ML) engineers, and researchers to build high-quality datasets.

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Flipboard

MAY 10, 2023

Launched nearly a decade ago by late Microsoft co-founder Paul Allen, the Seattle-based institute is backed by $100 million in annual funding and employs more than 200 AI researchers, engineers, professors, and staff. “They’ve created a whole new category of product.”

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Smart Data Collective

JUNE 5, 2021

One of the most important ways that marketers can benefit from AI is with search engine marketing. It is important to understand the role that AI is playing with new search engine algorithms. You can get a better sense of how AI comes into play with organic search engine marketing through semantic indexing.

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Data Science Blog

MARCH 19, 2024

The post Espresso AI: Q&A mit Mathias Golombek, CTO bei Exasol appeared first on Data Science Blog. Damit können selbst die komplexesten Analysen beschleunigt und bessere Erkenntnisse in atemberaubender Geschwindigkeit geliefert werden.

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Iguazio

AUGUST 3, 2023

This blog post is here to help. Customer Behavior and Items E-commerce data from a real website that includes customer behavior data, item properties and a category tree. This credit card company , for example, uses MLOps to deploy a real-time location-based recommendation engine. Get the dataset here.

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Defined.ai blog

JANUARY 31, 2023

There are also ethical concerns to the mass collection of data needed to train these models, which is a topic we’ll tackle in a future blog.) At Defined.ai , we’re always expanding and adding new categories of data as quickly as the AI market dictates or as our clients demand them. In much the same way that Defined.ai

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Snorkel AI

AUGUST 9, 2023

In this blog post, we walk through an anonymized real-world use case comparing a variety of state-of-the-art LLMs (GPT 4, GPT 3.5, and Llama 2) and techniques, ultimately showing that a simple DistilBERT model developed with Snorkel Flow outperforms GPT-4 by 34 points out-of-the-box and by 15 points even after advanced prompt engineering.

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Snorkel AI

AUGUST 9, 2023

In this blog post, we walk through an anonymized real-world use case comparing a variety of state-of-the-art LLMs (GPT 4, GPT 3.5, and Llama 2) and techniques, ultimately showing that a simple DistilBERT model developed with Snorkel Flow outperforms GPT-4 by 34 points out-of-the-box and by 15 points even after advanced prompt engineering.

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Becoming Human

MAY 9, 2024

Named Entity Recognition (NER) is commonly used in: Information Extraction : NER helps extract structured information from unstructured data sources like websites, articles, and blogs. Information Retrieval Systems : NER refines search results based on named entities to enhance the relevance of search engine responses.

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IBM Journey to AI blog

MARCH 4, 2024

While many organizations have implemented AI, the need to keep a competitive edge and foster business growth demands new approaches: simultaneously evolving AI strategies, showcasing their value, enhancing risk postures and adopting new engineering capabilities. How can you master prompt engineering? Do you use gen AI out of the box?

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IBM Journey to AI blog

APRIL 10, 2024

By 2026, approximately 80% of software engineering organizations will establish platform teams as internal providers of reusable services, components and tools for application delivery. Developer Experience: A truism is emerging in the software industry: good developer experience leads to great customer experience.

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Tableau

DECEMBER 10, 2021

National Solutions Engineer, Tableau. Search for sessions by category, starting with the Best of TC. For updates throughout the month, follow me Twitter and LinkedIn , and check out the list of blogs that Andy Cotgreave and I follow for Best of the Tableau Web. Mark Bradbourne. Bronwen Boyd. December 11, 2021 - 1:33am.

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Heartbeat

FEBRUARY 13, 2023

The integration of these frameworks allows Comet users to quickly and easily gain insights from their data, making it an essential tool for data scientists and machine-learning engineers. Developed by Comet engineers, Kangas is designed to make it easy for data developers to discover, analyze and display massive datasets.

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Iguazio

FEBRUARY 20, 2024

This blog post will discuss: The potential impact of generative AI for financial services The challenges of deploying LLMs in production Which engineering and risk-related considerations financial services companies need to take to successfully implement gen AI in their business environments. View the entire webinar here.

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