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PlanRAG: @dair_ai documented PlanRAG enhances final decision creating with a new RAG system called iterative prepare-then-RAG. It includes two methods: one) an LLM generates the program for selection making by inspecting data schema and concerns and 2) the retriever generates the queries for data analysis.
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EMA: refactor to support CPU offload, move-skipping, click and DiT types
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Latent Space Regularization in AEs: A thread talked about how to include my link sound in autoencoder embeddings, suggesting incorporating Gaussian sounds directly to the encoded output. Associates debated on the requirement of regularization and batch normalization to avoid embeddings from scaling uncontrollably.
AI Articles Creation Tools: There was a dialogue over the complexities of generating AI-produced videos comparable article to Vidalgo, indicating that though generating text and audio is straightforward, generating small moving films is difficult. Tools like RunwayML and Capcut had been instructed for video edits and inventory photographs.
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