The new image-generating model has numerous use cases, including advertising and decorating, and creator-based opportunities.
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Read the full story on TechCrunchRetrieval quality in an AI search product is bounded by two things: how good the embedding model is, and how cheaply you can run it across an index. This week, Perplexity Engineering team published Fast Embeddings on GPUs, an under-the-hood account of the second — the serving infrastructure behind pplx-embed and the ranking models used […] The post Perplexity Details Its GPU Embedding Stack: How…
Sep 6, 2026
Two more news organizations are suing OpenAI and Microsoft over the supposed use of their journalism to train AI.
Sep 5, 2026
We look at Project HydraFusion, GitHub's research preview that treats workflow selection as an optimization problem rather than a model picker. We break down the three execution patterns it routes between — Single, Cascade with a quality gate, and Critique with a read-only cross-family reviewer. The post GitHub Introduces Project HydraFusion: Runtime Multi-Model Orchestration That Builds a…
Sep 5, 2026
Andrew Ng's flagship program covering supervised and unsupervised learning, neural networks, and best practices for real-world ML.
Andrew Ng explains how generative AI works and how to apply it in your work and life — no coding required.
Harvard's deep dive into the algorithms behind modern AI — search, knowledge, optimization, and machine learning.
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