Authors: Harshad Sane, Andrew Halaney Imagine this — you click play on Netflix on a Friday night and behind the scenes hundreds of containers spring to action in a few seconds to answer your call. At Netflix, scaling containers efficiently is critical to delivering a seamless streaming experience to millions of members worldwide. To keep up with responsiveness …
Read more “Mount Mayhem at Netflix: Scaling Containers on Modern CPUs”
WIRED has reviewed hundreds of posts on X that promote misleading claims about the locations and scale of the attack.
When artificial intelligence systems began acing long-standing academic assessments, researchers realized they had a problem: the tests were too easy. Popular evaluations, such as the Massive Multitask Language Understanding (MMLU) exam, once considered formidable, are no longer challenging enough to meaningfully test advanced AI systems.
HD version is here since Reddit downscaled massively : https://youtube.com/shorts/WgGN2fqIPzo submitted by /u/CeFurkan [link] [comments]
Using large language models (LLMs) — or their outputs, for that matter — for all kinds of machine learning-driven tasks, including predictive ones that were already being solved long before language models emerged, has become something of a trend.
Large-scale commercial search systems optimize for relevance to drive successful sessions that help users find what they are looking for. To maximize relevance, we leverage two complementary objectives: behavioral relevance (results users tend to click or download) and textual relevance (a result’s semantic fit to the query). A persistent challenge is the scarcity of expert-provided …
Read more “Scaling Search Relevance: Augmenting App Store Ranking with LLM-Generated Judgments”
Prompt: upscale image and remove jpeg compression artifacts. Added few hours later: Please note that nowhere in the text of the post did I say that it works well. The comparison simply shows the current level of this model without LoRAs and with the most basic possible prompt. Nothing more. submitted by /u/CutLongjumping8 [link] [comments]
Language models generate text one token at a time, reprocessing the entire sequence at each step.
There’s a lot of excitement right now about AI enabling mainframe application modernization. Boards are paying attention. CIOs are getting asked for a plan. AI is a genuine accelerator for COBOL modernization but to get results, AI needs additional context that source code alone can’t provide.Here’s what we’ve learned working with 400+ enterprise customers: mainframe …
Read more “Learnings from COBOL modernization in the real world”
With the dawn of the gen AI era, businesses are facing unprecedented opportunities for transformative products, demanding a strategic shift in their technology infrastructure. A few years ago, PayPal, a digital-native company serving hundreds of millions of customers, faced a significant challenge. After 25 years of success in expanding services and capabilities, we’d created complexity …
Read more “PayPal’s historically large data migration is the foundation for its gen AI innovation”