#autointelliaiopssolution نتائج البحث
IT leaders need more sleep — and fewer outages. Build the foundation for resilient, autonomous operations with Agentic ITOps. Learn more: bit.ly/3If8brD #AgenticAI #ITOps #AIOps
Many private AI implementations lack governance and are saddled with brittle python scripts. Employ Automic to establish an enterprise-grade control plane. dy.si/MFMDr12
Introducing aiMotive Professional Services! Accelerate your ADAS & autonomous driving projects with: • Auto-annotation • Expert sensor calibration • Custom aiSim assets & maps • Synthetic data • Neural reconstruction & more Scale smarter: aimotive.com/professional-s…
Optimizing kernels for emerging hardware architectures remains a critical bottleneck today. This new blog post describes Autocomp, a new ADRS (AI-Drivern Research for Systems) framework that leverages LLM-driven search to automate this process and achieves up to a 17x speedup…
🚀 AI optimizes tensor kernels to run 17x faster than human expert designs! [ADRS Blog] Programming hardware accelerators is notoriously hard. We describe Autocomp, the first LLM-driven optimizer for tensor accelerators, which outperforms hand-tuned expert kernels on AWS…
![ai4research_ucb's tweet image. 🚀 AI optimizes tensor kernels to run 17x faster than human expert designs!
[ADRS Blog] Programming hardware accelerators is notoriously hard. We describe Autocomp, the first LLM-driven optimizer for tensor accelerators, which outperforms hand-tuned expert kernels on AWS…](https://pbs.twimg.com/media/G6OJZv6bsAENFSQ.jpg)
Elon Musk was right. Solving self-driving requires solving AGI. Tesla FSD has now solved self-driving. Tesla will also merge FSD and Optimus AI. This makes it clear that AGI will be ready to replace all jobs next year.
While perhaps obvious in hindsight, it turns out that the only way to solve self-driving is to solve a big part of real-world AI. That is what Tesla is doing, both in hardware & software. Unless a company is good at AI with tight compute, it’s hopeless. This is insanely hard.
Great science starts with great questions. 🤔✨ Meet AutoDS—an AI that doesn’t just hunt for answers, it decides which questions are worth asking. 🧵
🧑💻 Building a decentralized AI application? You need infrastructure that’s verifiable, modular, and optimized for AI-powered dApps and on-chain agents—not just legacy dApps. 🔼 Autonomys offers a full-stack solution: high-throughput distributed storage, modular execution, and a…
Teaching small LLMs to reason like big ones. AutoReason enhances LLM reasoning by automatically generating step-by-step rationales, eliminating the need for hand-crafted few-shot exemplars in Chain of Thought prompting. ----- 🤔 Original Problem: → Chain of Thought (CoT)…
AutoReason Improves Multi-step Reasoning Proposes a method to automatically generate rationales for queries using CoT prompting. This transforms zero-shot queries into few-shot reasoning traces which are used as CoT exemplars by the LLM. Claims to improve reasoning in weaker…
Solusinya 👉🏻 Jangan banyak mikir, langsung aja kerjain. Jadi robot autopilot. Kalau internal debate-nya dihapus, resistensi juga hilang. Kedengerannya nggak masuk akal? Yes, tapi beneran works. Simple tasks become automatic, frictionless.
AutoToS: Automated version of Thought of Search, fantastic Paper from @IBMResearch 👏 Achieved 100% accuracy across all evaluated domains 🤯 AutoToS generates sound, complete search components from LLMs without human feedback, achieving high accuracy across domains. Original…
📝 AutoPrompt Auto Prompt is a prompt optimization framework designed to enhance and perfect your prompts for real-world use cases. It iteratively builds a dataset of challenging edge cases and optimizes the prompt accordingly GitHub: github.com/Eladlev/AutoPr…
AutoAct is a method to train agents to solve multi-step tasks with little data. It outperforms methods that use synthetic data from GPT-4 with as small as 13B models. Summary of how it works: 1. Start with a small dataset of tasks, simply questions mapped to outcomes 2. Use…
2/2 Self aware machines can understand in what level and mode they are and can analyze the information received from the network from the API with the help of the framework and ruleless algorithms from the information they get and finally draw conclusions.
🎉We know that training & fine-tuning question answering models can be a pain. But not anymore! With 🤗AutoNLP, you can train state-of-the-art Question Answering models on your data that are ready to be used in a production environment! Check out AutoNLP: github.com/huggingface/au…
Learn how #AutointelliAIOpsSolution -- #HybridITMonitoring is used to monitor various IT applications and organizational assets in one place. To learn more, click here: bit.ly/3d8AfbQ. #ITSM #Automation #AIOps #Automation #AutointelliAIOpsPlatform #AI #ML
Introducing AutoSolve Companion 📲 Solve captchas on bots that support AutoSolve from Android or iOS devices! 💥 Coming this weekend to all AutoSolve subscribers, free of charge. RT 🔂 + reply #AYCDAutoSolve ✍️ for a chance at winning an AYCD Toolbox & AutoSolve Lifetime key!
Our first product addition/update is AutoSolve mobile. This will be a free addition to all AutoSolve customers subscriptions, and will allow you to send captchas directly to your phone, from any bot who supports AutoSolve! 📲
Learn how #AutointelliAIOpsSolution -- #HybridITMonitoring is used to monitor various IT applications and organizational assets in one place. To learn more, click here bit.ly/2ohUYFr. #AIOps #Automation #AutointelliAIOpsPlatform #AI #ML #InfrastructureAutomation
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