#knowledgebasedcontrol résultats de recherche

Verifiability removes assumptions from intelligence - deterministic execution, auditable state, and proofs tied to model evolution. OpenGradient provides the base layer where model behavior is reproducible and accountable, not opaque. verifiable intelligence is the progression…

Knowledge graphs are infinitely better than vector search for building the memory of AI agents. With five lines of code, you can build a knowledge graph with your data. When you see the results, you'll never go back to vector-mediocrity-land. Here is a quick video:

❔ A Question for Our Community 👇 Сan we verify an AI’s work? ❇️ As AI becomes more autonomous, a new question emerges, how can we prove it actually did the work? Imagine blockchain recording every AI decision in a transparent yet private way. This concept, called zkML…

Agent Knowledge : more than just RAG As Agent Builders, knowledge is the most powerful tool in our arsenal. Agentic RAG, dynamic instructions, adaptive learning. A good knowledge base powers them all. Learn more 👇

Sentient Epistemics: Learning Through Disagreement I asked @SentientAGI to simulate a disagreement loop where agents argue toward higher accuracy. Each round runs like a mini scientific debate. - The Researcher proposes a hypothesis. - The Validator flags outliers. - The…

Zero knowledge proofs (ZKPs) will revolutionize how we think about privacy and scaling computation. And they're just starting to take off. Don't want to get left behind? Here's a quick primer, just for you👇

❓How can humanoids learn to squat and open a drawer? Reward-tuning for every such whole-body task is infeasible. 🚀Meet DreamControl: robots "dream" how people move and manipulate objects in varied scenarios, practice using them in simulation, and then act naturally in the…

Control theory is way more important to fixing ML than people realize. Control theory is just continuous reinforcement learning after all.

Now in Nature! 🚀 Our method learns a controllable 3D model of any robot from vision, enabling single-camera closed-loop control at test time! This includes robots previously uncontrollable, soft, and bio-inspired, potentially lowering the barrier of entry to automation! Paper:…

Excited to release our latest paper, which uses KL-control for effective off-policy RL, even when you can't explore online in the environment! We use this + neural.chat to learn from human conversation... Paper arxiv.org/abs/1907.00456 Code github.com/natashamjaques…

A must-read survey: LLM-empowered knowledge graph construction Connects traditional KG methods with modern LLM-driven techniques, covering: - KG foundations: ontology, extraction, fusion - LLM-enhanced ontology: top-down & bottom-up - LLM-driven extraction: schema-based &…

#MachineLearning #QOC Introducing a data-driven approach to quantum optimal control (QOC) using a neural network surrogate model. Our method effectively captures system dynamics and adapts to varying conditions, enhancing QOC for real-world applications. cpl.iphy.ac.cn/article/doi/10…

Ethical computation is not about secrecy it is about self control @zama_fhe turns self control into an architectural principle It designs intelligence that acts with caution and care Respect becomes the new definition of precision #ZamaCreatorProgram

🎯 "Having a detailed knowledge graph gives you a scaffold of skills to practice as you progress forward and a map to look backwards on when troubleshooting."

Your AI is only as good as your data. 🧩 Proprietary + personalised + domain-specific info = powerful context. Start with better data. Start with the KnowNow Canvas. #GenerativeAI #EnterpriseAI #DataManagement

Introducing KnowledgeTools — a gem from my private collection that lets Agents reason over a knowledge base. It builds on the "think" tool from Anthropic and gives the model 3 new tools: Think → Search → Analyze. By iteratively thinking, searching, and analyzing, Agents can…

เรื่องการควบคุมจิตใจหรือ mind control มีจริงครับ แต่ไม่ใช่จากดาวเทียมแต่มันคือเครื่องที่เรียกว่า Cerebro ควบคุมและคิดค้นจากศาสตราจารย์ท่านหนึ่งครับ ผมได้ภาพหลุดจากห้องทำงานเขามานานมากแล้ว พึ่งมีโอกาสได้เปิดเผย ฝากแชร์กันต่อด้วยครับ น่ากลัวมากๆ 😨

Pointing out that 'verifiable' and 'deep learning' are currently enemies. Neural Nets are probabilistic: 'I'm 99% sure that's a stop sign.' Verifiable systems are deterministic: 'I can prove I followed rule X.' The solution is likely Zero-Knowledge Proofs for AI. The…