O'Reilly on Data

MARCH 20, 2019

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. This is like a denial-of-service (DOS) attack on your model itself.

Modeling 278

Modeling Machine Learning Predictive Modeling Consulting 278

O'Reilly on Data

NOVEMBER 19, 2024

Reasons for using RAG are clear: large language models (LLMs), which are effectively syntax engines, tend to “hallucinate” by inventing answers from pieces of their training data. See the primary sources “ REALM: Retrieval-Augmented Language Model Pre-Training ” by Kelvin Guu, et al., at Facebook—both from 2020.

Unstructured Data 318

Unstructured Data Structured Data Statistics Modeling 318

O'Reilly on Data

JANUARY 21, 2025

The Evolution of Expectations For years, the AI world was driven by scaling laws : the empirical observation that larger models and bigger datasets led to proportionally better performance. This fueled a belief that simply making models bigger would solve deeper issues like accuracy, understanding, and reasoning.

Cost-Benefit 299

Cost-Benefit Testing Interactive Software 299

Analytics Vidhya

DECEMBER 4, 2020

Introduction Random Forests are always referred to as black-box models. This article was published as a part of the Data Science Blogathon. Let’s try. The post Lets Open the Black Box of Random Forests appeared first on Analytics Vidhya.

Data Science 399

Data Science Publishing Modeling Analytics 399

Analytics Vidhya

APRIL 30, 2024

Users can upload documents, and the chatbot can answer questions by referring to those documents. The interface will be generated using Streamlit, and the chatbot will use open-source Large Language Model (LLM) models, making […] The post RAG and Streamlit Chatbot: Chat with Documents Using LLM appeared first on Analytics Vidhya.

Modeling 314

Modeling Analytics 314

CIO Business Intelligence

OCTOBER 28, 2024

For example, Whisper correctly transcribed a speaker’s reference to “two other girls and one lady” but added “which were Black,” despite no such racial context in the original conversation. Whisper is not the only AI model that generates such errors. This phenomenon, known as hallucination, has been documented across various AI models.

Risk 119

Risk Reporting Machine Learning Consulting 119

CIO Business Intelligence

NOVEMBER 1, 2024

Developing AI When most people think about artificial intelligence, they likely imagine a coder hunched over their workstation developing AI models. With those tools involved, users can build new AI models on relatively low-powered machines, saving heavy-duty units for the compute-intensive process of model training.

Recreation/Entertainment 119

Recreation/Entertainment Machine Learning Modeling Data Science 119

Analytics Vidhya

FEBRUARY 4, 2022

classification refers to a predictive modeling problem where a class label is predicted for a given example of […]. Introduction In this article, we are going to solve the Loan Approval Prediction Hackathon hosted by Analytics Vidhya. The post Loan Approval Prediction Machine Learning appeared first on Analytics Vidhya.

Machine Learning 291

Machine Learning Predictive Modeling Data Processing Modeling 291

CIO Business Intelligence

DECEMBER 11, 2024

To solve the problem, the company turned to gen AI and decided to use both commercial and open source models. With security, many commercial providers use their customers data to train their models, says Ringdahl. Thats one of the catches of proprietary commercial models, he says. Its possible to opt-out, but there are caveats.

Cost-Benefit 115

Cost-Benefit Modeling Marketing Sales 115

Analytics Vidhya

NOVEMBER 20, 2023

Introduction This article concerns building a system based upon LLM (Large language model) with the ChatGPT AI-1. To have an insight into the concepts, one may refer to: [link] This article will adopt a step-by-step approach. It is expected that readers are aware of the basics of Prompt Engineering.

Modeling 273

Modeling Analytics IT 273

CIO Business Intelligence

NOVEMBER 22, 2024

Guan, along with AI leaders from S&P Global and Corning, discussed the gargantuan challenges involved in moving gen AI models from proof of concept to production, as well as the foundation needed to make gen AI models truly valuable for the business. Their main intent is to change perception of the brand.

Unstructured Data 136

Unstructured Data Testing Modeling Enterprise 136

Analytics Vidhya

MAY 8, 2024

In robotics, sim-to-real transfer refers to transferring policies learned in simulation to the real world. Introduction Have you ever thought robots would learn independently with the power of LLMs? It’s happening now! DrEureka is automating sim-to-real design in robotics.

Analytics 319

Analytics IT Deep Learning Machine Learning 319

AWS Big Data

NOVEMBER 15, 2024

This post shows you how to enrich your AWS Glue Data Catalog with dynamic metadata using foundation models (FMs) on Amazon Bedrock and your data documentation. Solution overview In this solution, we automatically generate metadata for table definitions in the Data Catalog by using large language models (LLMs) through Amazon Bedrock.

Metadata 115

Metadata Modeling Data-driven Machine Learning 115

O'Reilly on Data

JUNE 14, 2024

Generative AI models are trained on large repositories of information and media. They are then able to take in prompts and produce outputs based on the statistical weights of the pretrained models of those corpora. The newest Answers release is again built with an open source model—in this case, Llama 3.

Metadata 299

Metadata Publishing Data-driven Modeling 299

AWS Big Data

DECEMBER 12, 2024

Complex queries, on the other hand, refer to large-scale data processing and in-depth analysis based on petabyte-level data warehouses in massive data scenarios. In this post, we use dbt for data modeling on both Amazon Athena and Amazon Redshift. In this post, we use dbt for data modeling on both Amazon Athena and Amazon Redshift.

Snapshot 94

Snapshot Recreation/Entertainment Experimentation Data Lake 94

CIO Business Intelligence

OCTOBER 22, 2024

Large language models that emerge have no set end date, which means employees’ personal data that is captured by enterprise LLMs will remain part of the LLM not only during their employment, but after their employment. CMOs view GenAI as a tool that can launch both new products and business models.

Enterprise 135

Enterprise Risk IoT Cost-Benefit 135

Analytics Vidhya

AUGUST 29, 2024

Introduction Hallucination in large language models (LLMs) refers to the generation of information that is factually incorrect, misleading, or fabricated. Despite their impressive capabilities in generating coherent and contextually relevant text, LLMs sometimes produce outputs that diverge from reality.

Testing 219

Testing Modeling Analytics IT 219

AWS Big Data

FEBRUARY 20, 2024

As a NoSQL solution, DynamoDB is optimized for compute (as opposed to storage) and therefore the data needs to be modeled and served up to the application based on how the application needs it. DynamoDB is a managed NoSQL database solution that acts as a key-value store for transactional data.

Visualization 124

Visualization Cost-Benefit Optimization B2B 124

Analytics Vidhya

JUNE 9, 2023

Introduction Object Localization refers to the task of precisely identifying and localizing objects of interest within an image. It plays a crucial role in computer vision applications, enabling tasks like object detection, tracking, and segmentation.

Analytics 319

Analytics IT Modeling 319

Analytics Vidhya

MAY 27, 2023

Introduction Bike-sharing demand analysis refers to the study of factors that impact the usage of bike-sharing services and the demand for bikes at different times and locations. The purpose of this analysis is to understand the patterns and trends in bike usage and make predictions about future demand.

Machine Learning 319

Machine Learning Statistics Analytics Forecasting 319

O'Reilly on Data

FEBRUARY 14, 2023

ChatGPT gave an excellent explanation (it is very good at explaining source code), but there was something funny: it referred to a language feature that the user had never heard of. What would it be like if a model were trained to have imagination plus a sense of literary history and style? They asked ChatGPT for an explanation.

Optimization 332

Optimization Modeling Software IT 332

AWS Big Data

NOVEMBER 7, 2024

Custom context enhances the AI model’s understanding of your specific data model, business logic, and query patterns, allowing it to generate more relevant and accurate SQL recommendations. Your queries, data and database schemas are not used to train a generative AI foundational model (FM).

Metadata 105

Metadata Sales Data Warehouse Optimization 105

Analytics Vidhya

JUNE 26, 2023

Responsible AI refers to the sustainable […] The post How to Build a Responsible AI with TensorFlow? With the pace at which AI is developing, ensuring the technology is safe has become increasingly important. This is where responsible AI comes into the picture. appeared first on Analytics Vidhya.

Technology 306

Technology Analytics Machine Learning Modeling 306

O'Reilly on Data

MARCH 23, 2023

It’s important to understand that ChatGPT is not actually a language model. It’s a convenient user interface built around one specific language model, GPT-3.5, is one of a class of language models that are sometimes called “large language models” (LLMs)—though that term isn’t very helpful. with specialized training.

IT 348

IT Modeling Testing Risk 348

Rocket-Powered Data Science

JUNE 17, 2022

The dominant references everywhere to Observability was just the start of awesome brain food offered at Splunk’s.conf22 event. Reference ) The latest updates to the Splunk platform address the complexities of multi-cloud and hybrid environments, enabling cybersecurity and network big data functions (e.g., is here, now!

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

AWS Big Data

DECEMBER 17, 2024

Lakehouse allows you to use preferred analytics engines and AI models of your choice with consistent governance across all your data. SageMaker Lakehouse offers integrated access controls and fine-grained permissions that are consistently applied across all analytics engines and AI models and tools.

Data Lake 95

Data Lake Data Warehouse Data-driven Optimization 95

O'Reilly on Data

MARCH 25, 2025

Throughout this article, well explore real-world examples of LLM application development and then consolidate what weve learned into a set of first principlescovering areas like nondeterminism, evaluation approaches, and iteration cyclesthat can guide your work regardless of which models or frameworks you choose. Which multiagent frameworks?

Testing 174

Testing Data-driven Software Measurement 174

CIO Business Intelligence

NOVEMBER 7, 2024

TIAA has launched a generative AI implementation, internally referred to as “Research Buddy,” that pulls together relevant facts and insights from publicly available documents for Nuveen, TIAA’s asset management arm, on an as-needed basis. You use a model and then inject the content at the last minute when you need it,” Gualtieri explains.

IT 132

IT Manufacturing Data Science Modeling 132

CIO Business Intelligence

MARCH 19, 2025

Meanwhile, in December, OpenAIs new O3 model, an agentic model not yet available to the public, scored 72% on the same test. Were developing our own AI models customized to improve code understanding on rare platforms, he adds. SS&C uses Metas Llama as well as other models, says Halpin. Devin scored nearly 14%.

Software 143

Software Risk Enterprise Cost-Benefit 143

Rocket-Powered Data Science

MAY 21, 2024

Pure Storage empowers enterprise AI with advanced data storage technologies and validated reference architectures for emerging generative AI use cases. See additional references and resources at the end of this article. OVX Validated Reference Architecture for AI-ready Infrastructures First question: What is OVX validation?

Cost-Benefit 239

Cost-Benefit Unstructured Data Enterprise Technology 239

O'Reilly on Data

JANUARY 17, 2023

” I, thankfully, learned this early in my career, at a time when I could still refer to myself as a software developer. Building Models. A common task for a data scientist is to build a predictive model. You might say that the outcome of this exercise is a performant predictive model. That’s sort of true.

Machine Learning 363

Machine Learning Predictive Modeling Software Modeling 363

O'Reilly on Data

MARCH 7, 2019

Language understanding benefits from every part of the fast-improving ABC of software: AI (freely available deep learning libraries like PyText and language models like BERT ), big data (Hadoop, Spark, and Spark NLP ), and cloud (GPU's on demand and NLP-as-a-service from all the major cloud providers). They don’t have a subject.

Deep Learning 279

Deep Learning Testing Machine Learning Modeling 279

O'Reilly on Data

OCTOBER 19, 2021

Let’s start by considering the job of a non-ML software engineer: writing traditional software deals with well-defined, narrowly-scoped inputs, which the engineer can exhaustively and cleanly model in the code. Not only is data larger, but models—deep learning models in particular—are much larger than before.

IT 364

IT Testing Experimentation Software 364

David Menninger's Analyst Perspectives

MARCH 13, 2024

However, despite the ease with which individuals can use AI as a result of natural language processing , creating and managing AI models is still a challenge. The process of managing all these parts is referred to as Machine Learning Operations or MLOps. First, there is a shortage of skills.

Machine Learning 200

Machine Learning Data-driven Modeling Reporting 200

O'Reilly on Data

MAY 25, 2021

GPT-3 is essentially an auto-complete bot whose underlying Machine Learning (ML) model has been trained on vast quantities of text available on the Internet. I’d like to share my thoughts on GPT-3 in terms of risks and countermeasures, and discuss real examples of how I have interacted with the model to support my learning journey.

Modeling 364

Modeling Marketing Testing Machine Learning 364

O'Reilly on Data

JULY 28, 2020

These measures are commonly referred to as guardrail metrics , and they ensure that the product analytics aren’t giving decision-makers the wrong signal about what’s actually important to the business. You must detect when the model has become stale, and retrain it as necessary. Modeling and Evaluation.

Marketing 364

Marketing Experimentation Metrics Testing 364

AWS Big Data

OCTOBER 14, 2024

Large language model (LLM)-based generative AI is a new technology trend for comprehending a large corpora of information and assisting with complex tasks. Generative AI models can translate natural language questions into valid SQL queries, a capability known as text-to-SQL generation. Choose Manage model access.

Metadata 102

Metadata Data Lake Modeling Data Warehouse 102