Remove what-is-model-validation
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AI Product Management After Deployment

O'Reilly on Data

Similarly, in “ Building Machine Learning Powered Applications: Going from Idea to Product ,” Emmanuel Ameisen states: “Indeed, exposing a model to users in production comes with a set of challenges that mirrors the ones that come with debugging a model.”. I/O validation.

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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

While generative AI has been around for several years , the arrival of ChatGPT (a conversational AI tool for all business occasions, built and trained from large language models) has been like a brilliant torch brought into a dark room, illuminating many previously unseen opportunities.

Strategy 290
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The DataOps Vendor Landscape, 2021

DataKitchen

Read the complete blog below for a more detailed description of the vendors and their capabilities. DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. Download the 2021 DataOps Vendor Landscape here. Meta-Orchestration .

Testing 300
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An AI Chat Bot Wrote This Blog Post …

DataKitchen

This can include the use of tools for data preparation, model training, and deployment, as well as technologies for monitoring and managing data-related systems and processes. Query> DataOps. The goal of DataOps is to help organizations make better use of their data to drive business decisions and improve outcomes.

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Enriching metadata for accurate text-to-SQL generation for Amazon Athena

AWS Big Data

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. Can it also help write SQL queries?

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How Far We Can Go with GenAI as an Information Extraction Tool

Ontotext

Generative AI (GenAI) models, such as GPT-4, offer a promising solution, potentially reducing the dependency on labor-intensive annotation. This blog post summarizes our findings, focusing on NER as a first-step key task for knowledge extraction. At Graphwise, we aim to make knowledge graph construction faster and more cost-effective.

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2021 Data/AI Salary Survey

O'Reilly on Data

The results gave us insight into what our subscribers are paid, where they’re located, what industries they work for, what their concerns are, and what sorts of career development opportunities they’re pursuing. The results then provide a place to start thinking about what effect the pandemic had on employment.