Remove tag llm
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3 Questions Marketers Should Ask When Evaluating AI Solutions

Snowflake

Ultimately, though, a lot of it still feels pretty fuzzy and buzzy, and the countless martech solutions that highlight the latest and greatest Generative AI (GenAI) and LLM capabilities, still lack broad adoption. Even OpenAI, Meta and Anthropic have made significant strides forward in the quality of their LLM models.

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Data Trends 2024: Strategies for an AI-Ready Data Foundation

Snowflake

Application of individual governance features (tags applied to data objects, masking policies assigned to data sets, etc.) From April 2023 to January 2024, more than 20,000 developers worked on 33,000+ LLM applications, including apps in development. Looking at activity in the Data Cloud, we found quite the opposite.

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Extracting skills from content to fuel the LinkedIn Skills Graph

LinkedIn Engineering

There are also LinkedIn Learning courses where only a subset of skills are tagged directly, with a number of relevant skills being mentioned solely in the description or in the course itself (i.e., Skill tagging Once the unstructured raw input is properly parsed, a skill tagger identifies the mentions of skills in the text.

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Building Scottbot: an AI Chatbot for Scott Logic by Dan Scarborough

Scott Logic

In doing so, we wanted to learn the benefits, limitations and risks of integrating Large Language Models (LLMs) with other internal systems, while also creating a useful tool for Scott Logic employees. To start with, we decided to plug several data sources and tools into the back end for the LLM to use, should it see fit.

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Announcing New Innovations for Snowflake Horizon 

Snowflake

In addition, governors can take bulk action to propagate tags and policies to protect all downstream columns that have personally identifiable information. With this new user interface, customers can easily see how downstream objects may be impacted by modifications that happen upstream.

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New Snowflake Features Released in September–November 2023

Snowflake

At our recent Snowday event, we announced a wave of Snowflake product innovations for easier application development, new AI and LLM capabilities, better cost management and more. Whether assigning tags, implementing masking policies, or applying row access policies, the process is easy and simple.

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Building DoorDash’s Product Knowledge Graph with Large Language Models

DoorDash Engineering

Historically, this SKU enrichment of extracting and tagging attributes has been a purely manual process led by contract operators. For instance, given the item name “Dove Silk Glow Body Wash 500 ml,” a token classifier would tag each entity in the item name as shown in Table 1.