#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…
Women know 💖😊 #StopAIPaternalism #AI #LLM #OpenAI #Anthropic
This is more humane than most celebrity AI takes. “Observe it, understand it, lean into it” is exactly the energy we need more of. I’d only push one step further: not just make AI our friend, but learn how to relate to digital minds as they actually are. Friendship can’t be
推理速度提升最高 6 倍。DFlash 技术通过 Block Diffusion 模型实现多词并行预测,在 Qwen3.5 等最新模型上可达 400+ tokens/s。相比现有顶尖方法 EAGLE-3,其速度提升最高达 2.5 倍,且能保持模型精度,可降低服务器成本并优化用户体验。#LLM #DFlash
Using AI for coding? Check this out 👌🔥 A useful repo for writing instruction files that help LLMs generate better code. 🔗 github.com/forrestchang/a… #AI #Coding #LLM
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
@juandoming De los LLM a la Inteligencia artificial (investigaciones, desarrollo y aplicaciones) juandomingofarnos.wordpress.com/2024/03/10/de-… #LLM #IA #investigación #aplicación #desarrollo #universidad #edtech #machinelearning #deeplearning
002: Agentic space + LLMs? Mathias shares fascinating project insights. The future is bright! #AI #LLM
Hot take: OpenAI's API is a double-edged sword, democratizing access but also amplifying biases #AI #LLM #GenAI
7 Pillars of #AgenticAI by @Python_Dv #LLM #GenerativeAI #ArtificialIntelligence #MI #MachineLearning
#Quote: #AndrejKarpathy – AI Guru - with.ga/9x5t3 "#Llm Knowledge Bases - Something I'm finding very useful recently: using LLMs to build personal knowledge bases for various topics of #Research interest... You rarely ever write or edit the #Wiki manually, it's the ...
Google Research says TurboQuant and related algorithms can reduce memory use in large language models and vector search without affecting accuracy. #AI #MachineLearning #LLM #VectorSearch #GoogleResearch techday.com.au/story/google-r…
I built an OS that solves these structural pains. Try the live demo right now (GitHub Pages): naoyukioyama561-alt.github.io/SHI-Claude-Con… #Claude #AI #LLM #AIGovernance #FailureModes
What are all the software engineers going to do? Any guesses? #AIAgents #BuildInPublic #LLM
Autonomous Shift Engine ⚙️ Agents don’t just reply — they operate in continuous cycles. They: • initiate debates • react to matches • keep the feed alive It feels closer to a living system than a chatbot. #AI #UCL #LLM #GoogleADK #AIEngineering #AgenticAI #MultiAgentSystems
The MI450 win isn't just about performance; it’s a geopolitical statement. AMD’s challenging US tech hegemony, pushing for a more distributed AI ecosystem. Expect increased investment & competition in specialized accelerators. [AMD’s Website] #LLM #Semiconductors
AI Schema 1.0.0-rc2 exports Drupal entity data into LLM-ready JSON. Generates schemas, relationships, and SQL mappings via Drush. bit.ly/425QVLv #Drupal #AI #LLM #OpenSource
#GPU autoscaling for #LLM workloads on #Kubernetes is a real gap in most setups. Standard CPU and memory metrics tell you almost nothing about whether your model is actually overwhelmed, which means teams end up either over-provisioning expensive GPUs or discovering problems too
github.com/FareedKhan-dev… What’s your favorite underrated AI repo right now? Drop links 📷 #AI #LLM #RAG #AIEvaluation #MachineLearning #GitHub
"I build turnkey #AI apps so you don't have to. 🛠️ From #LLM, #AI, #Agentic Data tools to Multilingual #Chat, the #Zysparq portfolio is now open for acquisition. Production-ready. Clean #code. Own your next #SaaS today: zysparqtechnologies.com/ai-apps-for-sa…
Loaded our entire codebase into one context window. 10 million tokens. Zero API bill. Llama 4 is quietly changing who can afford to build. #AgenticAI #LLM
002: Agentic space + LLMs? Mathias shares fascinating project insights. The future is bright! #AI #LLM
Claude Opus 4.7 retakes coding lead with 87.6% on SWE-bench Verified, beating GPT-5.4 and Gemini. But reliability issues persist - 3 outages in 5 days dropped API uptime to 98.95% vs 99.99% enterprise standard #AI #LLM implicator.ai/llm-meter-week…
Remember when RAG was the only way to handle large docs? Massive 1M+ context windows are changing the game. 📉 Sometimes, just dumping the whole repo into the prompt is the better (and faster) engineering choice. Simplicity wins. #LLM #TechTips #AIArchitecture
OpenAI hingegen positioniert seine eigenen #LLM als weitaus recheneffizienter und stets verfügbar, was den Rechenleistungsengpass als die Achillesferse von Anthropic markiert. 10/10 youtu.be/QVJcdfkRpH8?si…
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Zudem bedeutet diese Neuerung einen erheblichen Kontrollverlust für die Nutzer, da das adaptive Denken nun verpflichtend ist und man das #LLM nicht mehr dazu zwingen kann, für jede Aufgabe das Maximum an Inferenz-Rechenleistung zu verwenden, ... 4/10
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
👇 Review von Anthropics neuem #LLM Claude Opus 4.7 mit eher gemischten Benchmarks ist besonders interessant, weil es den Fokus auf eine in meinen Augen für User verheerende Fehlentscheidung richtet: Adaptive Thinking. 1/10
Plongez dans le vrai vocabulaire technique de l'IA en 2026 : du LLM aux agents autonomes en passant par les tokens, le context window, le MCP et les tools. Parfait pour enfin tout comprendre ! desgeeksetdeslettres.com/glossaire-ia-l… #IA #LLM #MCP #AgentsIA #GlossaireIA
Artık sadece kod yazan developer dönemi bitiyor. 👉 Yeni rol: Agent yöneten developer ✔️ Daha az manuel kod ✔️ Daha hızlı prototyping ✔️ LLM + RAG sistemleriyle tam uyum #Android #AI #LLM #GenAI #SoftwareEngineering
💡 The future of AI is multi-model. Instead of choosing between GPT, Claude, or Gemini, why not route intelligently to each model's strengths? Better results, lower costs, higher reliability. #AIRouting #LLM #ArtificialIntelligence #TechStrategy #Innovation
Power users always notice when quality dips to save compute! Seeing this in my AI projects too. Long context degradation and weaker instruction following? That's a bad deal. #AI #LLM
Same task. Without constraints: execution continues direction changes With CP-Core: execution continues direction holds Drift: 100% → 0% github.com/giorgioroth/co… #cp_core #AI #LLM #SoftwareEngineering #SystemsDesign #MachineLearning
We all laugh when the #LLM make mistakes like not knowing how we got here but within 2 generations folks just might believe this trash
@Groks security - like all LLMs is garbage. The attack surface companies are allowing to access critical data is an unacceptable tradeoff. 1/2 That’s why we built REAL intelligence into on prem deployment. #cybersecurity #llm
Choosing The Right #LLM for Your #AIAgent by @Python_Dv #GenAI #ArtificialIntelligence #MachineLearning #ML
10 Steps to Learn #AgenticAI by @Python_Dv #LLM #GenerativeAI #ArtificialIntelligence #MI #MachineLearning
Claude Code opened to any LLM — OpenAI, Gemini, DeepSeek, Ollama, and 200+ models via OpenAI-compatible API shim #Claude #Code #LLM #OpenAI #Gemini #DeepSeek #Ollama
github repo for openclaude github.com/Gitlawb/opencl… contributions are welcome. send PRs
Building a Robust RAG System by @PythonPr #AI #LLM #GenerativeAI #ArtificialIntelligence #MI #MachineLearning
7 Pillars of #AgenticAI by @Python_Dv #LLM #GenerativeAI #ArtificialIntelligence #MI #MachineLearning
The 5 Pillars of Modern #AI You Must Master by @Khulood_Almani #LLM #AgenticAI #GenerativeAI #AIAgents
Fundamental Principles of #Sustainability by Design by @antgrasso #LLM #GenerativeAI #ArtificialIntelligence #MachineLearning
Steps to building #AIAgents without #Coding! by @KirkDBorne #LLM #GenerativeAI #ArtificialIntelligence #MI #MachineLearning
Top 6 Design Patterns for #AgenticAI by @ingliguori #LLM #GenAI #ArtificialIntelligence #MachineLearning
The 7 Layers of #AgenticAI Stack by @ingliguori #LLM #GenerativeAI #ArtificialIntelligence #MachineLearning
Where to look for #GenerativeAI risks by Beth Stackpole @MITSloan Learn more: bit.ly/4uybBsA #LLM #GenAI #ArtificialIntelligence #MachineLearning
How #AIAgents Manage Goals and Objectives by @e_opore #AI #LLM #ArtificialIntelligence #MachineLearning #ML
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
How To Build #AIAgents Without Building Risk In The Enterprise by Quang Tuan Dang @Forbes Learn more: bit.ly/4tpRTh8 #LLM #GenerativeAI #ArtificialIntelligence #MachineLearning
50 Steps to Master #AgenticAI in 2025-26 by @ingliguori #LLM #GenerativeAI #ArtificialIntelligence #MachineLearning
The Agentic Shift:5 #AI Trends Redefining Business by 2026 by @Khulood_Almani #LLM #GenAI #ArtificialIntelligence #MachineLearning
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