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Toloka 101 Live Demo: Learn how to get reliable training data for machine learning, Nov 11

KDnuggets

In this Nov 11 Live Demo, Learn how to get reliable training data for machine learning. Toloka is a crowdsourced data labeling platform that handles data collection and annotation projects for machine learning at any scale.

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Top 7 Diffusion-Based Applications with Demos

KDnuggets

Learn about various Diffusion-based applications to get inspiration for a final-year project, research, and product.

Project 122
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Is the “AI developer”a threat to jobs – or a marketing stunt?

The Pragmatic Engineer

Gross implies the company is eyeing more than $10B in revenue; although it’s just a claim, and we saw no product or demo. Source: Cognition So far, all we have is video demos, and accounts of those with access to this tool. But there is none of this.

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Top Gen AI Use Cases: How to Turn Unstructured Data into Insights

Snowflake

Gen AI Day featured many more insights and demos for a wide array of industries and departments, including financial services; retail and consumer goods; advertising, media and entertainment; manufacturing; healthcare and life sciences; the public sector; telecommunications; marketing and sales; and IT, human resources and engineering.

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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Calling All Builders: Get Hands-On With AI and Apps

Snowflake

With a full agenda of practical demos, thought-provoking speakers and a Gen AI Bootcamp, there’s no shortage of draws, but here are a few solid reasons to join us. Mistral will showcase its Large LLM, available in Cortex, and Kumo AI will demo its advanced predictive AI app.

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Building cost effective data pipelines with Python & DuckDB

Start Data Engineering

Project demo 3. Introduction 2. Building efficient data pipelines with DuckDB 4.1. Use DuckDB to process data, not for multiple users to access data 4.2. Cost calculation: DuckDB + Ephemeral VMs = dirt cheap data processing 4.3. Processing data less than 100GB? Use DuckDB 4.4.