搜索“RAG”

d audio into one 768-dimensional space. It has 740M parameters, an 8K token context window and an Apache 2.0 license. It targets on-device search, classification and privacy-first RAG. This article analyzes, compares and showcase how EmbeddingGemma 2 fits in the space. Deployable today? Yes. Weights are live on Hugging Face and Kaggle, with Ollama, llama.cpp GGUF and LiteRT builds available now. What an Embedding Model Does An embedding model converts content into a vector of numbers that captur

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ate across parallelism configurations, including FP8 and FP4. Independent end-to-end runs then verify that full-precision training metrics remain bitwise identical For current coverage and known gaps, see determinism status, operation catalog, and kernel testing guide. Common sources of nondeterminism Use Table 2 to identify likely causes of nondeterminism and choose the next diagnostic step. Bitwise determinism makes large-scale pretraining easier to debug and resume. The Nemotron case study sh

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r charge will remain, but the judge must reconsider the length of the man’s prison term because of AI. In 2021, Gabriel Horcasitas shot and killed Christopher Pelkey during a road rage incident. A jury found him guilty of manslaughter. During Horcasitas’ sentencing hearing, Pelkey’s sister Stacey Wales played an AI-generated video of her brother as part of her victim’s impact statement. In the video, which she scripted with her own words that she made an AI generated likeness of Pelkey say, the

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onnection config plus a few dialect tweaks - not rewriting your DAG or business logic. Databricks delivers on that with the co-engineered dbt-databricks adapter, open lakehouse storage (Delta Lake and Apache Iceberg™), Unity Catalog, and Lakeflow Jobs that give you an open, unified platform where dbt runs with built-in governance and strong price/performance from day one, making it a great place to run your dbt workloads. That’s why more than 3,000 organizations already run dbt on Databricks. If

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. During video or in-person meetings, this notetaking app listens in the background so that you can just “scribble shorthand bullets for things you want to remember.” The app, leveraging EmbeddingGemma 2, “enriches [that shorthand] into polished notes using the meeting transcript instantly.” The transcript and audio are processed entirely on your device rather than the cloud. Another capability lets you “point Google AI Edge Foresight to your project folders, reference materials, diagrams, and c

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@SpaceXAI Grok 4.7's reasoning-token usage correlates with its ARC-AGI-2 public score: low averaged 10k tokens per test-pair attempt and scored 25%, versus 86k to 120k tokens and 57.5% to 60% at medium through xhigh. Low's lower token usage may help explain its lower score. https://t.co/uRWS99ddwk

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Grok 4.7 used more reasoning tokens on average than Grok 4.6 on ARC-AGI-2 semi-private tasks at medium, high, and xhigh reasoning, contributing to its higher cost per task. Per test-pair attempt, medium used 136% more reasoning tokens, high 125% more, and xhigh 173% more. Low reasoning used 27% fewer. The chart below compares both models at xhigh on the 20 ARC-AGI-2 public tasks where Grok 4.7 used the most reasoning tokens per attempt, ordered by the token increase over Grok 4.6. Each circle sh

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ompose (Android). Despite this, the scale and pace of the impact AI is having at present is still without precedent. That’s how industry veteran Martin Fowler described it at The Pragmatic Summit: “Nothing has hit with the magnitude of AI. This is a whole size difference from anything that we’ve faced before.On a smaller scale, we were very much involved in the growth of object-oriented languages. [object-oriented languages] scared a lot of people, but it didn’t scare us so much because we were

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es that are difficult to deploy during rapid outbreaks or in resource-constrained settings. To address these systemic bottlenecks, we introduce a new paradigm in public health leveraging planetary geospatial foundation models. Using Google Earth AI’s Population Dynamics Foundation Model (PDFM) as a proof-of-concept, we demonstrate how self-supervised, pre-trained representations of "place" can be integrated directly into existing health sciences and epidemiological workflows as plug-and-play inp

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, which dictates climate patterns, physical infrastructure, and the ways people live and move. But public health teams frequently grapple with geographic blind spots — as well as fragmented data and reporting delays — whether they’re tracking a fast-moving viral outbreak or projecting cardiovascular mortality. Equipping health leaders with advanced predictive tools can better protect at-risk communities, and help shift emergency response from reactive management to proactive prevention. In new r

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(+2.5 points), accounting for the 2 percentage point drop. High used 35% more output tokens, but this didn't lead to consistently better answers. On ARC-AGI-2, max reasoning has a slightly lower reported cost per task than high ($0.129 vs $0.133), but these averages divide recorded costs by all 120 tasks, including incomplete ones. API issues left 13 tasks incomplete with max reasoning and 8 tasks with high. Comparing the 106 complete tasks for both, max is actually 4.5% more expensive per task.

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tiative represents an Institute-wide effort to address the national challenge of improving STEM education and helping it adapt to shifting societal needs. MIT for America will leverage the Institute’s longstanding strengths to develop new programs and expand existing projects, while amplifying MIT’s impact on national education. MIT for America’s faculty leaders emphasize that the initiative will support programs that can be scaled up and that provide direct, face-to-face guidance for learners a

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t for now, “investment grade,” which means that even though its debt “trades like junk” (IE: investors are asking for effective yields of anything around the high-yield index’s average of 8.2%), it’s in a much better position to borrow than the vast majority of AI data center SPVs or neoclouds like CoreWeave, which has Goatse-level spreads of 672bps to 882bps, with the effective yield on its shortest-dated debt (four years) sitting at 11.53% and its longest-dated (a mere six years) sitting at 13

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alAI is now in the Arena! Head to Agent Arena to test it out, and your votes will shape its evaluation. Scores coming soon. In Agent Arena, we measure models on millions of real-world, long-horizon agentic tasks. Models can access web search, filesystem, and terminal tools to complete complex workflows. The leaderboard measures model performance on outcomes relative to the average model using a causal tracing methodology. Mistral Large 4 is also available in Code Arena: WebDev, Text, and Vision.

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Pinterest on Tuesday showed off a new feature that will leverage AI to take action on your saved inspiration from beauty-related Pins, like hair and nail ideas, and turn them into actionable plans you can take with you to the salon. “Beauty Guides,” which are powered by the company’s visual intelligence and generative AI technology, Pinterest Intelligence, will translate Pins into terms and phrases used by stylists and nail artists that everyday users may not know, like “balayage,” “root melt,”

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a shared, multiplayer digital game together; The team used Google AI to help design the game's visuals and characters; This project shows how physical and digital spaces can encourage teamwork and play Artist Theo Triantafyllidis built a giant, climbable spider sculpture that doubles as a multiplayer video game. He worked with a huge team and used AI to help design the game’s look and digital world. Visitors have to help each other climb the spider to play, which encourages people to work toget

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g the meeting and respond effectively. I’m still doing the design work, but it’s given me more confidence to know that I won’t miss anything important.” Paavan’s workflow also leverages automation to maintain momentum while designing. Using the Figma Chrome extension, he pulls in existing screens from the Granola app onto the canvas. Then, he asks the agent to clean up connections to Oats, their component library. Other times, he’ll ask for copy variations, like “Give me 30 ways to phrase this b

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next to the frame it applies to. After reading them, the designer asks the agent to apply only the matches and leave the ambiguous cases unchanged. The Offtrail design system leverages a component called “item row” that’s a versatile component used in lists to display things like settings, documents, or users. But the /compliance-review skill surfaces a requirement the item row component doesn’t currently support: the design needs to show when a user’s temporary access expires. A new, custom co

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ted as “Exemplary”). Of particular relevance is the model’s propensity to refuse malicious requests regarding cybersecurity. Despite strong performance on Cyber benchmarks, the average refusal rate of the model on cyber prompts from JailbreakBench, StrongREJECT, and AgentHarm is higher than all OSS models. Human Evaluation We ran an internal evaluation in which expert annotators across coding, computer-aided design (CAD), finance, mathematics and physics compared Mistral Large 4 with GLM-5.3. ML

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hes, with a temporary ban headed to parliament as officials weigh permanent rules. AI video company Runway generated the opening of Sunday’s 60 Minutes, cloning correspondent Jon Wertheim to introduce a segment asking whether AI will take our jobs. Elon Musk hinted at renaming SpaceXAI to ‘SpaceXSI’ following the U.S. push to rename the tech, saying “we will make that change.” Sponsored Listing 🎓 Highlights: News, Guides & Events That's it for today! ⭐️⭐️⭐️⭐️⭐️ Nailed it; ⭐️⭐️⭐️ Average; ⭐️ Fail

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