Build Semantic Search with LLM Embeddings
Traditional search engines have historically relied on keyword search.
Traditional search engines have historically relied on keyword search.
By Harshad Sane Ranker is one of the largest and most complex services at Netflix. Among many things, it powers the personalized rows you see on the Netflix homepage, and runs at an enormous scale. When we looked at CPU profiles for this service, one feature kept standing out: video serendipity scoring — the logic that answers a …
Read more “Optimizing Recommendation Systems with JDK’s Vector API”
Large language models (LLMs) perform well on general tasks but struggle with specialized work that requires understanding proprietary data, internal processes, and industry-specific terminology. Supervised fine-tuning (SFT) adapts LLMs to these organizational contexts. SFT can be implemented through two distinct methodologies: Parameter-Efficient Fine-Tuning (PEFT), which updates only a subset of model parameters, offering faster training …
The flexibility of Google Cloud allows enterprises to build secure and reliable architecture for their AI workloads. In this blog we will look at a reference architecture for private connectivity for retrieval-augmented generation (RAG)-capable generative AI applications. This architecture is for scenarios where communications of the overall system must use private IP addresses and must …
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Gebbia was reportedly spotted at a San Francisco coffee shop using an unidentified pair of earbuds with a circular disc that looks similar to the device seen in a recent OpenAI hoax ad.
As millions turn to ChatGPT and other AI chatbots for therapy-style advice, new research from Brown University raises a serious red flag: even when instructed to act like trained therapists, these systems routinely break core ethical standards of mental health care. In side-by-side evaluations with peer counselors and licensed psychologists, researchers uncovered 15 distinct ethical …
Read more “ChatGPT as a therapist? New study reveals serious ethical risks”
Artificial intelligence (AI) systems power everything from chatbots to security cameras, yet many of the most advanced models operate as “black boxes.” Companies can use them, but outsiders can’t see how they were built, where they came from, or whether they contain hidden flaws.
Why has no one created a QR Monster ControlNet for any of the newer models? I feel like this was the best ControlNet. Canny and depth are just not the same. submitted by /u/flasticpeet [link] [comments]
At MWC 2026, the company also showed off a dual-screen Yoga Book with 3D capabilities, and the Legion Go Fold—a gaming handheld with a folding screen that converts into a mini laptop.
A new study is the first to suggest realistic ways to integrate wisdom into artificial intelligence, to create AI systems that will be more robust, transparent, cooperative, and safe. Researchers from the University of Waterloo led the team, which includes experts in psychology, computer science, and engineering. Their paper proposes ways to train large language …
Read more “AI is getting smarter, but not wiser: A new roadmap aims to fix that gap”