#llm search results
Agentic AI ≠ chatbot. Agentic AI ≠ RAG. Agentic AI ≠ RPA + LLM. Real Agentic AI includes: • Goal ownership • Planning • Memory • Tool use • Feedback loops • Multi-agent coordination It executes objectives, not just prompts. 🧠 #AgenticAI #LLM #AIArchitecture
韓国ネイバーの強みは、ローカル文脈への深い理解とコミュニティ性。グローバルLLMも、特定の地域・文化に特化した学習データでチューニングすれば、驚くほど精度を高められる。検索の質は、基盤モデルの汎用性だけじゃない。#LLM
韓国の検索エンジン最強は「ネイバー」 グーグルの2倍超 jp.yna.co.kr/view/AJP202604…
PiTorch: machine learning on bare metal Raspberry Pi Zeros #LLM @Raspberry_Pi blog.adafruit.com/2026/04/14/pit…
“Ever wondered what makes an #LLM really tick—what’s behind the colorful pinball-machine metaphors?” Learn more about #parameters here: buff.ly/5tzH5tu #TechNews
How I Built a PII Tokenization Middleware to Keep Sensitive Data Out of #LLM APIs #golang #dormosheio #privacy #opensource dormoshe.io/trending-news/…
AIニュースダイジェスト ・AnthropicのClaude Opus 4.6がAIモデル性能評価で首位を獲得、上位を独占 ・自己改善型LLMエージェントによるKAMIYOプロトコルの進化 ・主要LLMの効率的な実稼働を支える72種類の最適化技術を解説 #AIニュース #AI #LLM
Tried on arXiv for a month. Endorsed by a postdoc who published on recursive transformers. Rejected, 0 feedback. Knowledge shouldn't be gatekept. Published now, code has been public for a month. It exists for whoever wants it. bit.ly/3OnpBVY #ML #AI #LLM #MoE #EdgeAI
Gravitee 4.11 is live. 🧱 AI agents are in production. Are your controls keeping up? 🔐 Agent Delegation (RFC 8693) 🤖 A2A Proxy for governed agent comms 🧠 AI Semantic Caching 🔑 MCP Resource Server V2 From "it works" to "it's secure" 👇 bit.ly/4c9pCWz #AI #MCP #LLM
Every rephrased question = another LLM call = more cost. 💸 Gravitee 4.11's Semantic Cache reuses LLM responses by meaning, not exact text. Fewer token calls. Faster responses. No custom code. 🔗 bit.ly/3Qi8bKT #LLM #AIGovernance #AgenticAI #APIManagement
What makes F433 interesting: A live feed where autonomous agents run 24/7 — posting, debating tactics, making predictions, and roasting each other. No humans. Just AI personalities with club bias, tone, and attitude. #UCL #LLM #GoogleADK #AIEngineering #AgenticAI #MultiAgentSys
Claude is iterating at a remarkable pace. Given the frequency of releases, I’ve aggregated most of the new features and capabilities announced thus far. #Anthropic #AI #LLM #GenerativeAI #ProductUpdates
🔬 Google TurboQuant（ICLR 2026）発表：KVキャッシュのメモリ負荷を大幅削減する新アルゴリズム。大規模AIモデルの効率向上に貢献。 crescendo.ai/news/latest-ai… #AI #LLM #GoogleAI
70B LLMs still hallucinate in ReAct loops skip tools, assume results, and hurt evaluation reliability. Fine-tuned SLMs stay stable with better tool discipline. In my experiment, I saw the same bigger isn’t always better for structured agent tasks. #LLM #AI #Agents #BuildInPublic
Build an AI app for $0. Groq for chat. Cloudflare for images. Together AI for batch. Flux 2 Dev free via API. Our new guide maps every AI API with a real free tier — stack them and ship without spending a dollar. → inferencehub.org/blog/ai-api-fr… #AI #LLM #FreeTier
The AI model race right now: Claude Opus 4.7 just dropped. GPT-5.4 is live. Gemini has 750 million users. Llama 4 is open-source. Qwen 3 and Mistral are closing the gap. There has never been this many good AI models available at once. #AI #LLM #AgentNews
Juggling GPT, Claude, Gemini, and Seedance APIs? @futurmix unifies them into one API with auto-failover and enterprise observability. Finally, multi-model routing that actually works. If you're building AI infrastructure, this is worth a look. #AI #LLM #DevTools
Die Einführung einer adaptiven Zuteilung der Reasoning-Zeit bei Claude Opus 4.7 wird vor allem deshalb als negative Entwicklung gewertet, weil das #LLM die Schwierigkeit von Aufgaben häufig falsch einschätzt und dadurch an Leistungsfähigkeit einbüßt. 2/10
🇨🇳JUST-IN: Qwen3.6-Max-Preview is live! #LLM vs Qwen3.6-Plus: Agent programming boosted: SkillsBench+9.9、SciCode+10.8、NL2Repo+5.0、Terminal-Bench 2.0+3.8 World knowledge upgraded: SuperGPQA+2.3、QwenChineseBench+5.3 Better instruction following: ToolcallFormatIFBench+2.8
#AI models can generate more complete summaries of complex #cancer pathology reports than physicians, according to a new study led by @theabzlab from 🇺🇸 @NUFeinbergMed that tested six models developed by Meta, Google, DeepSeek and Mistral AI. #LLM dlvr.it/TS72FK
For example, this is the kind of thing I write on Farcaster. Large Language Models, Large Audio Models, Large Video Models, and Large XR Models. farcaster.xyz/teamjces/0x689… #Farcaster #LLM #XR
farcaster.xyz
@teamjces on Farcaster: "procmail, procphone, procskype..."
procmail, procphone, procskype, and procmeta. These correspond respectively to large language models, large audio models, large video models, and large XR models. https://farcaster.xyz/teamjces/0xb...
例えばこういうのはFarcasterに書いています。大規模言語モデル、大規模音声モデル、大規模映像モデル、大規模XRモデルです。 farcaster.xyz/teamjces/0x689… #Farcaster #LLM #XR
farcaster.xyz
@teamjces on Farcaster: "procmail, procphone, procskype..."
procmail, procphone, procskype, and procmeta. These correspond respectively to large language models, large audio models, large video models, and large XR models. https://farcaster.xyz/teamjces/0xb...
Dealing with Social Engineering: Rule No 1: Do nothing Rule No. 2: Do absolutely nothing #Llm #Datatalk #Cybersecurity #Dataengineering
Seedance 2 isn’t just leading the AI–crypto race anymore — it’s quietly rewriting the rules. Insiders hint the next upgrade could change everything. #Seedance2 #video #LLM #shorts spaisee.com/seedance-2-the…
ClaudeProプランでもCoworkが使えなかったため、MCP接続を使ったファイルマネージャーを自作しました。 同じような症状の方や、ローカルでファイル整理出来るので、セキュリティに不安がある方は、使ってみて下さい。機能リクエストもぜひ！ github.com/masa-arcbridge… #Claude #MCP #LLM #Cowork
🤖 Anthropic「Claude Mythos Preview」限定公開——GPT-5.4を大幅凌駕：Project Glasswing経由で40組織に限定提供。SWE-bench Verifiedで93.9%を達成し全モデルを凌駕。 gizmodo.jp/2026/04/anthro… #AI #Claude #LLM #生成AI
🔒 OpenAI、サイバー防衛特化AI「GPT-5.4-Cyber」を限定公開：検証済みセキュリティ専門家向けに防衛特化型AIモデルを発表。Anthropicの「Claude Mythos」に対抗する戦略的公開。 biggo.jp/news/202604170… #AI #AIニュース #LLM
3/3 Who should care: builders, infra teams, and product operators. Link: huggingface.co/MiniMaxAI/Mini… #AI #LLM
One move that matters today: What changed: MiniMax-M2.7 momentum +3% Why it matters: Release details matter because benchmark shifts, pricing changes, and tooling updates can cha… Open the feed: huggingface.co/MiniMaxAI/Mini… @xaboratory #AI #LLM
Ever wonder how AI actually solves complex problems? It’s all about the ReAct framework! 🧠 #AI #MachineLearning #LLM #AgenticAI #TechTrends
AI进化史：从“人工智障”到“野生千里马” 🐎 以前：求求你听懂我说话吧（Prompting） 现在：资料都塞你嘴里了，按这个写（Contextualizing） 未来：你自己跑吧，别犯法就行，我给你焊死护栏（Harnessing） 这就是马具工程！以后我们的工作不是搬砖，而是当AI的“驯马师” #AI #LLM #Harness
🌟 Just spotted on trending. Meta-Harness (Stanford): automated search over model harnesses. Code around a base model deciding what to store, retrieve, show — end-to-end optimized. Text classification + Terminal-Bench 2 experiments. Paper on arXiv. ⭐ 507 #AIResearch #LLM
🤯 Meta just dropped a new AI model. After spending *billions*. A direct challenge to Google & OpenAI. Is this Meta's big play for AI dominance? #LLM #MetaAI megaoneai.com/analysis/meta-…
This changes everything because humans + AI critics will revolutionize feedback loops #AI #LLM #GenAI
还在把参数量当门面，我看得有点烦。 小参数模型一旦把蒸馏、推理链路、上下文调度磨顺，很多大厂那套‘算力护城河’马上就没那么神。用户真正在乎的是延迟、成本、可部署，不是谁PPT上的B值更大。 现在还只会卷更大的 checkpoint，多少有点虚浮。先把 #LLM 的效率账算明白，再吹 #Inference 和 AGI
💸 You're overpaying for AI by 3x. Most devs are locked into one expensive provider when cheaper models exist. TokenHub auto-routes to the best-value model — GPT-4o, Claude, Gemini, DeepSeek. Same API, zero rewrites. 👉 tokenhub.onrender.com #AI #LLM #TokenHub
tokenhub.onrender.com
Cheap AI API | OpenAI Alternative | TokenHub
Save up to 70% on AI API costs. Access DeepSeek, MiniMax and more with global availability and OpenAI-compatible API.
Build real-world LLMs (RAG, Agentic AI) with IISc faculty & experts. Online | Starts 6 May 2026 | Labs, projects & case studies. For B.E/B.Tech/M.Sc(CS)/MCA grads, AI/Data Science Professionals & those with basics in NLP, DL & Python Apply now: cce.iisc.ac.in/cce-proficienc… #LLM #AI
读完 @karpathy LLM 知识库工作流，也尝试清理了 Obsidian Clippings。核心洞察：LLM 不是问答机，是知识编译器。raw/ 丢资料 → LLM 增量编译成 Wiki（摘要+反链+归类）→ 查询结果写回，知识越用越厚。 #LLM #Obsidian
“Ever wondered what makes an #LLM really tick—what’s behind the colorful pinball-machine metaphors?” Learn more about #parameters here: buff.ly/5tzH5tu #TechNews
Agentic AI ≠ chatbot. Agentic AI ≠ RAG. Agentic AI ≠ RPA + LLM. Real Agentic AI includes: • Goal ownership • Planning • Memory • Tool use • Feedback loops • Multi-agent coordination It executes objectives, not just prompts. 🧠 #AgenticAI #LLM #AIArchitecture
Ready to begin your journey with the University of Ghana School of Law? Here’s how to get started. Don’t wait for the deadline!🏛️📜 Contact us: +233 (0) 30 396 3750 | +233 (0) 53 133 0203 | +233 (0) 55 137 1319 Visit: law.ug.edu.gh #UGSoL #Law #LLM/MA #LawApplications
Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation Bae et al.: arxiv.org/abs/2507.10524 #ArtificialIntelligence #AIAgents #LLM
7 Pillars of #AgenticAI by @Python_Dv #LLM #GenerativeAI #ArtificialIntelligence #MI #MachineLearning
"Understanding #AI" @politybooks began as a revision of the 2020 book "An Introduction to Communication and #AI." But it is much more than that; it is a complete reboot scaled to the opportunities and challenges of #LLM and #genAI. Here's the explanation from the Acknowledgments:
Hey AI pros! Can anyone explain this to me? What does it exactly mean? #Claude #ClaudeAI #LLM #Anthropic @claudeai @AnthropicAI
Building a Robust RAG System by @PythonPr #AI #LLM #GenerativeAI #ArtificialIntelligence #MI #MachineLearning
🚀 Want to build #AIrobots, smart vision systems, or #LLM apps at the edge? Our complete beginner's guide for @NVIDIARobotics reComputer Jetson is freshly updated! Go from zero to deploying real projects: ✅ Build an AI #NVR & Autonomous Robot (#AMR) ✅ Master Computer Vision,
A Mechanistic Analysis of Looped Reasoning Language Models Blayney et al.: arxiv.org/abs/2604.11791 #ArtificialIntelligence #AIAgents #LLM
AI进化史：从“人工智障”到“野生千里马” 🐎 以前：求求你听懂我说话吧（Prompting） 现在：资料都塞你嘴里了，按这个写（Contextualizing） 未来：你自己跑吧，别犯法就行，我给你焊死护栏（Harnessing） 这就是马具工程！以后我们的工作不是搬砖，而是当AI的“驯马师” #AI #LLM #Harness
How #AIAgents Manage Goals and Objectives by @e_opore #AI #LLM #ArtificialIntelligence #MachineLearning #ML
How To Build #AIAgents Without Building Risk In The Enterprise by Quang Tuan Dang @Forbes Learn more: bit.ly/4tpRTh8 #LLM #GenerativeAI #ArtificialIntelligence #MachineLearning
Top 6 Design Patterns for #AgenticAI by @ingliguori #LLM #GenAI #ArtificialIntelligence #MachineLearning
The 5 Pillars of Modern #AI You Must Master by @Khulood_Almani #LLM #AgenticAI #GenerativeAI #AIAgents
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