AI content generation is about feeding your AI models with semantic and contextual information. The result is a platform that can ‘understand’ what an item is, and how it should be used. AI creates content using semantic knowledge in any form of content including video, 3d, VR and more.
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Latest Artificial Intelligence Content News
AceStep 1.5 – Showdown: 26 Multi-Style LoKrs Trained on Diverse Artists
These are the results of one week or more training LoKr’s for Ace-Step 1.5. Enjoy it. submitted by /u/marcoc2 [link] [comments]
Agentify Your App with GitHub Copilot’s Agentic Coding SDK
For years, GitHub Copilot has served as a powerful pair programming tool for programmers, suggesting the next line of code.
Unifying Ranking and Generation in Query Auto-Completion via Retrieval-Augmented Generation and Multi-Objective Alignment
Query Auto-Completion (QAC) is a critical feature of modern search systems that improves search efficiency by suggesting completions as users type. However, existing approaches face fundamental challenges: traditional retrieve-and-rank pipelines have poor long-tail coverage and require extensive feature engineering, while recent generative methods suffer from hallucination and safety risks. We…
Build unified intelligence with Amazon Bedrock AgentCore
Building cohesive and unified customer intelligence across your organization starts with reducing the friction your sales representatives face when toggling between Salesforce, support tickets, and Amazon Redshift. A sales representative preparing for a customer meeting might spend hours clicking through several different dashboards—product recommendations, engagement metrics, revenue analytics, etc. –…