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Automating Relevance Tuning for Event Search

Eventbrite Engineering

1 Background Relevance tuning is the process of making incremental changes to a search algorithm to improve the ranking of search results to better meet the information needs and preferences of users. Authored by: Zelal Gungordu and Delaine Wendling.

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Revolutionizing Real-Time Streaming Processing: 4 Trillion Events Daily at LinkedIn

LinkedIn Engineering

Authors: Bingfeng Xia and Xinyu Liu Background At LinkedIn, Apache Beam plays a pivotal role in stream processing infrastructures that process over 4 trillion events daily through more than 3,000 pipelines across multiple production data centers.

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Enhancing Content Review: Proactively addressing threats with AutoML

LinkedIn Engineering

A key part of this work is our content abuse defense systems, which function behind the scenes to help detect and remove policy-violating content from the platform, while helping surface professional, relevant, and meaningful content that adds value to the member experience. What is AutoML?

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Easy and Secure LLM Inference and Retrieval Augmented Generation (RAG) Using Snowflake Cortex

Snowflake

To reduce these AI hallucinations, LLMs can be combined with private data sets via processes that either don’t require LLM customization (such as prompt engineering or retrieval augmented generation) or that do require customization (like fine-tuning or retraining). Let’s dive into the details and check out some code along the way.

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5 Generative AI Use Cases Companies Can Implement Today

Towards Data Science

Build more efficient workflows for knowledge workers Across industries, companies are driving early generative AI use cases by automating and simplifying time-intensive processes for knowledge workers. Let’s explore how a few key sectors are putting gen AI to use.

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5 Generative AI Use Cases Companies Can Implement Today

Monte Carlo

Build more efficient workflows for knowledge workers Across industries, companies are driving early generative AI use cases by automating and simplifying time-intensive processes for knowledge workers. Let’s explore how a few key sectors are putting gen AI to use.

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2023 in a nutshell —ride along!

Picnic Engineering

We aim to streamline the development process, enabling every engineer to maximize their impact​. Refining our feedback loops ensures that our developers receive timely, relevant, and constructive feedback, directly impacting their productivity and code quality. The result? A setup that is working great for us! The impact?