Remove tag optimization
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The Current State of AI in Marketing 2024

Unite.AI

Programmatic Advertising AI automates the process of buying and selling ad space, optimizing bids in real time for maximum reach and ROI. Search Engine Optimization (SEO) AI can analyze search trends and user behavior to inform SEO strategies. As GetResponse shows, 35% of respondents are concerned about AI costs.

AI 324
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What Is Rum data and why does it matter?

IBM Journey to AI blog

RUM data is a critical component of optimizing the performance of online applications and services. There is really no substitute for real user experiences when it comes to optimizing real-world applications and services. NS1 Connect adds JavaScript tags to that web property which collect information about inbound user traffic.

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Gizzmo AI Review: The Best Tool for Amazon Affiliates? (2023)

Unite.AI

High-Quality AI-Powered Content Generation Gizzmo AI plugin on WordPress Gizzmo AI enables you to generate high-quality articles optimized for search engines directly from your WordPress account. You will see that Gizzmo AI has generated an entire SEO-optimized article based on the keywords you gave it! Let's check it out!

AI 246
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SpeechVerse: A Multimodal AI Framework that Enables LLMs to Follow Natural Language Instructions for Performing Diverse Speech-Processing Tasks

Marktechpost

In comparison to Qwen-Audio, which requires hierarchical tagging and a large-scale audio encoder, SpeechVerse incorporates multi-task learning and finetuning without task-specific tagging, enabling generalization to unseen tasks through natural language instructions.

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This AI Paper from Adobe and UCSD Presents DITTO: A General-Purpose AI Framework for Controlling Pre-Trained Text-to-Music Diffusion Models at Inference-Time via Optimizing Initial Noise Latents

Marktechpost

Though optimization through diffusion sampling shows promise, it faces challenges in detailed control, necessitating improved solutions for efficient and precise music generation. DITTO optimizes initial noise latents at inference time to produce specific, stylized outputs and employs gradient checkpointing for memory efficiency.

AI 132
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Time for a data center refresh? Get ahead of the growing digital landscape with a modern data center strategy

IBM Journey to AI blog

With the seismic shift wrought by generative AI, the pressure is on IT to modernize and optimize to meet the demand. Turbonomic can automatically optimize your applications’ resourcing levels while dynamically scaling with business needs—all in near real-time while preserving performance.

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Pinecone Algorithms Stack Up Across the BigANN Tracks: Outperforming the Winners by up to 2x

Marktechpost

Participants face four distinct tracks, each tackling a different aspect of the challenge: Filter Track: This track focuses on efficiently finding nearest neighbors while filtering results based on specific tags or metadata. They invested in developing new algorithms and optimizing existing techniques to compete with other teams.