搜索“RAG”

igration policies.” Altman’s Jan. 28, 2017, blog post read, in part, “Tech companies go to extraordinary lengths to recruit and retain employees; those employees have a lot of leverage. If employees push companies to do something, I believe they’ll have to. At a minimum, companies should take a public stance. But talking is only somewhat effective, and employees should push their companies to figure out what actions they can take.” Tan says Altman’s words inspired tech workers across the industr

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igration policies.” Altman’s Jan. 28, 2017, blog post read, in part, “Tech companies go to extraordinary lengths to recruit and retain employees; those employees have a lot of leverage. If employees push companies to do something, I believe they’ll have to. At a minimum, companies should take a public stance. But talking is only somewhat effective, and employees should push their companies to figure out what actions they can take.” Tan says Altman’s words inspired tech workers across the industr

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re-defined, mechanical silence gap. Though it's not the focus of this article, you can also use Audio Tags to create emotional Text to Speech output by varying emotions across a paragraph. The three pause controls in Eleven v4 Eleven v4 gives you three ways to add pauses in AI voiceover. We’ll show how each of these works in practice in our text editor and outline how they feel with an example audio. [pause] A pause is a short beat. It’s roughly equivalent to a breath, or the natural space a spe

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We build ours on AutoState with two sum field entries, a numerator and a denominator, and then merge a six-row batch with a two-row batch. The pooled result is exact, while the average of the two per-batch rates is visibly wrong, which is precisely what would happen on the ragged last batch of an epoch, and since merge is associative the same mechanism aggregates a metric across devices without caring what order the results arrive in. Now we train. A Kauldron dataset is any callable returning a

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lar incidents from happening in the future? Unclear. The correct answer to all this uncertainty surely isn’t “I guess we’ll find out.” But that’s exactly what self-regulation encourages. To its credit, OpenAI has delayed and even canceled the release of its most advanced models over security concerns. But not before they went on various, extensive hacking sprees, new details about which are still trickling out at a steady pace. In an interview with TIME published on Thursday, Trump suggested tha

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er, and the "To top" control is a small pill that stays out of your way. On tablets the rerun button keeps its shape. Collapsed sidebar rows now have their "..." menu. ORGANIZE & DRAG AND DROP The selection rectangle in Organize mode now starts from anywhere, so selecting no longer accidentally drags images. Dragging an image shows an attach card on the prompt bar with a "Reference style" option below it. Moodboard pages accept files dropped straight from your computer. POLISH & BUGS If you enco

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ness rose by 4.4X to $39.77 billion in the quarter, and despite HBM’s best intentions with rising prices, DRAM was not Micron’s fastest growing product line. Flash non-volatile storage was, with sales up 6.2X to $14.1 billion. If capacity were not a constraint – meaning, if Micron could drop in working foundries in a few quarters rather than several years – it would still take many years for the flash business to catch up to the DRAM business. That said, for a dollar of capex, NAND flash memory

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ve that intermediate buffer. It consumes the positions selected by the sparse indexer, loads the compressed rows, and unpacks them on-chip as attention needs them. NVFP4 is the storage format; the attention computation uses FP16 operands with FP32 accumulation. For each query token, a cluster of cooperating thread blocks divides the selected rows. In the GB200 configuration, each cluster spans three to eight SMs. The blocks combine their partial results through distributed shared memory, without

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ed experiments, project drift, and AI slop. Recently I had Codex run a multi-step finance task: read our company debit card spend data, calculate the trailing three-month spend average, add a buffer for taxes, and issue merchant-specific Ramp cards at that limit and then notify each cardholder in Slack. The cards came out correct, but the Slack messages didn’t. They read like polished corporate memos, opening with “Hey @person” and other phrases that I’d never use—even though Codex had read my S

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that use the differing strengths across the model landscape to optimize performance. Cost differences: For example, comparing DeepSeek v4 Flash with GPT-6 Astra, GPT-6 Astra’s average price paid per token is over 48x higher, and it’s 21x more expensive to run an average 10 to 49 turn session in Codex. Routers can switch parts of a task to a lower-cost model to save on cost. Task diversity: For example, the model that performs best on legal research may not be the same as the model that’s best f

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that use the differing strengths across the model landscape to optimize performance. Cost differences: For example, comparing DeepSeek v4 Flash with GPT-6 Astra, GPT-6 Astra’s average price paid per token is over 48x higher, and it’s 21x more expensive to run an average 10 to 49 turn session in Codex. Routers can switch parts of a task to a lower-cost model to save on cost. Task diversity: For example, the model that performs best on legal research may not be the same as the model that’s best f

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f the art on Blackwell. Introduction Meta’s ads models, including the Generative Ads Model (GEM) [2] and the Kunlun architecture [5], run attention over jagged (variable-length or ragged) user sequences. As described in our GEM training deep dive, padding these sequences to a fixed length can waste up to 50% of compute. GEM instead packs sequences contiguously and records each sequence’s boundaries in an offsets tensor. Jagged Flash Attention is the kernel-level mechanism that makes this padding

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ks for common failure patterns and recommends efficiency improvements. Target areas (with human-in-the-loop approval) include database cluster right-sizing, performance tuning, storage tiering, and compute scaling and efficiency improvements. The SRE Agent extends the pattern past migration. Applications don’t land on AWS and stop there. They continuously improve over time. Data migration with AWS DMS Alongside the custom AI agents, two AWS managed services handle the data and application modern

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o see. CSAIL researchers used InstructMesh to put a personalized, creative spin on otherwise regular items. For example, the tool produced a mug that appears to be enveloped by a dragon, with its tail being the handle. It also fabricated a shiny blue whistle resembling a shell and a pair of glasses with butterfly wings spreading out just above the lens. Getting even more creative, it made an octopus-like dispenser, with liquids flowing out of each tentacle to distribute drinks into several cups

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: I'm joking, but the whole point of I think the fact that they're making these so cutesy and fluffy and adorable is obviously intentional. It is what is going to win over the average consumer and make you forget that you are giving away all of your privacy and all of the information and all of your accounts to this adorable fuzzy-wuzzy little thing instead of a data center. Leah Feiger : Is that part of internet safety conversations now, Brian? When you sit around with your kids and you're lik

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recommendations to users, but some felt that the proactive recommendations were an overreach, more akin to ads than helpful suggestions. OpenAI said its new shopping features leverage the newly launched ChatGPT Images 2.5 model , which the company claims produces more natural lighting and richer textures, follows editing instructions more reliably, and reduces image generation latency. To start, virtual try-on allows ChatGPT users to upload a selfie or a full-body photo in order to visualize ho

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Technical Blog sessionStorage.removeItem('facets.search.text'); sessionStorage.removeItem('facets.search.text-copy'); sessionStorage.removeItem('facets.search.filters'); NVIDIA DOCA AI agent skills provide verified API signatures, hardware capability requirements, and build constraints so agents can reason like experienced DOCA developers. In a 65-prompt evaluation, agents without skills satisfied only 19% of checklist items, while agents with skills satisfied 100% across all prompts. Skills cov

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In the Claude Code Desktop app, you can pop any pane out into its own window. Drag the diff or terminal to a second screen while Claude keeps working in the main window, then dock the pane back when you’re done. Are you using the Desktop app as a daily driver? I am! https://t.co/VPXBW4Itoj

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generative models for molecular design and materials discovery, combining large-scale computational screening with experimental validation to accelerate next-generation energy-storage technologies. In parallel, he develops efficient machine learning methods for wearable and edge devices, with applications in wearable health and activity sensing where computation, latency, power, and privacy are key constraints. Previously, he worked on Tesla's battery teams as a Cell Engineer and Materials Engi

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Cohere has released Embed 5 , a new embedding model family. It targets enterprise search, RAG, and agentic retrieval. The model family ships in 2 tiers. Embed 5 Pro targets maximum retrieval quality. Embed 5 Fast targets latency and cost on the live query path. Both accept text, images, and fused text plus image inputs. Both cover 100+ languages and read up to 128K tokens. The key design choice: Pro and Fast share 1 embedding space. You can index with one and query with the other. Is it deployab

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