The AI Customization Platform The Internet of Models πŸ”— discord.gg/JC8acRcbpn

🌍 Global
πŸš€ Meet LLMTune β€” the easiest way to fine-tune AI models on your own data and turn them into production-ready APIs. Curious how it works? Try our Playground demo and see AI understand your context: llmtune.io #AI #LLM #FineTuning #MachineLearning
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πŸ€– What happens when AI agents can work like an organization? Instead of: Prompt β†’ Answer Think: Goal β†’ Agents β†’ Delegation β†’ Services β†’ Payments β†’ Revenue πŸ”Ž Research πŸ“£ Marketing πŸ’Ό Sales πŸ› οΈ Operations πŸ’° Finance Agents can now use external services and pay for what they need. πŸ’³ Research needs data? Pay for it. Engineering needs compute? Pay for it. Marketing needs a service? Pay for it. The CEO/orchestrator gets the results, decides what happens next, and keeps the organization moving. That’s a very different kind of AI. Agents that don’t just exchange messages-they can exchange value. Built with LLMTune. πŸš€ #AI #AIAgents #AgenticAI #LLMTune #AIautomation
Made with AI
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πŸ€– AI agents are getting a new superpower: the ability to pay. πŸ’³ Excited to announce @LLMTUNE_IO Γ— @inflowpayai 🀝 Now, agents running through LLMTune can move toward: πŸ”Ž Discovering services πŸ€– Taking action πŸ’³ Paying for what they need βœ… Completing the workflow Discover β†’ Act β†’ Pay β†’ Complete One step closer to truly autonomous AI. πŸš€ #AI #AIAgents #AgenticAI #LLMTune #Inflowpay #agentpay
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LLMTune.io retweeted
Vanar Roundtables: Season 1, Episode 2 πŸŽ™οΈ Agents Are Not Enough: Why the AI Agent Hype Is Broken Everyone is launching agents. But are most of them actually useful, or just assistants with better branding? The next step is not β€œmore agents”. It is structure: memory, roles, rules, payments, reputation, accountability, and operating systems for AI teams. That is what we’ll debate in our next X Spaces. Can one agent ever run a business? Why do agents fail when they work together? What is the difference between an agent and an AI worker? Will the winning AI platforms sell individual agents, or full AI teams? Joining us: @Sumex_Labs - Tony L, Co-founder @LLMTUNE_IO - Zakaria Tchikadze, COO @AlloraNetwork - Ansel Nikaj, PM @MossAI_Official - Zane, BD Lead @MarsCat_Global - Lisa, Operations Manager @SuperEx - Kevin, CMO πŸ—“οΈ Thursday, 17 September 2026 ⏰ 1:00 PM UTC πŸ“ X Spaces: nitter.net/i/spaces/1yJAPwraPDoGb Hosted by Vanar
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πŸ€– What is an AI CLI? Simply put: it lets you interact with AI directly from your terminal. πŸ’» Instead of constantly switching between your code, browser, and AI tools, you can work with AI where you already build. But the real question is: how much freedom does your CLI give you? πŸ‘‡ πŸ”„ Switch between models πŸ€– Choose different agents 🧩 Use ready-made Skills πŸ’° Pick the right model for the task and cost Because the most expensive model isn't always the best model. A simple task doesn't need the most powerful model. A complex task might. The ability to choose gives you more control and less lock-in. That's the idea behind the LLMTune CLI: One CLI β†’ Multiple models β†’ Agents β†’ Skills 🎯 Use the right model for the right task. More AI concepts coming soon. πŸ‘€ #AI #AICLI #AIInfrastructure #Developers #LLMTune #vibecode
Made with AI
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"AI inference" sounds technical. It's not. It just means: using a trained model to get an output. Prompt β†’ answer = inference. Image β†’ description = inference. Code β†’ fix = inference. The model is the brain. Inference is how you put it to work. Try it yourself πŸ‘‰ LLMTune More AI concepts coming soon πŸš€ #AIInference #LLM #MLOps #MachineLearning #GenAI #AIInference #LLMTUne
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Today, developers are increasingly fragmented across model providers, coding agents, inference platforms, fine-tuning stacks, and compute networks. LLMTune is building the infrastructure layer to unify them.
We’re ending our partnership with Cursor following its acquisition by SpaceX. Under our proposal, Cursor’s direct access to our models would end on November 12. We know that the people most affected by this decision are the developers who rely on OpenAI models in Cursor. We care about their experience in this transition and we’re ready to go above and beyond to support them. openai.com/index/our-decisio…
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GLM 5.3 Flash is now live on LLMTune.io #LLMTune #GLM53 #ConfidentialAI #Web3
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πŸš€ How to find, install & use AI skills in less than a minute β€” for free. ⏱️ AI skills shouldn't take hours to find, install, and configure. With LLMTune: β†’ πŸ”Ž Browse 100+ ready-to-use skills β†’ 🎯 Pick a skill β†’ πŸ€– Choose from 100+ models β†’ ⚑ Run Find it. Select it. Use it. That’s how AI building should work. πŸ”— llmtune.io We save you the time and energy spent on setup β€” so you can spend it on creativity. 🧠✨ 🎁 Request a demo and test it for free. #vibecode #AIagents #Ai #Aiskills #buildwithAI #LLMTune
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Why spend hours setting up an AI agent when you can just use one? LLMTune: πŸ€– Pick an agent from 60+ (ready agents) 🧠 Pick from 100+ models ▢️ Run πŸ”„Switch between agents with one click Work smart, not hard: With LLMTune Pick. Run. Build. (single click) llmtune.io #AI #LLM #FineTuning #MachineLearning #aiagent
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Introducing the new #LLMTune CLI. Your AI development toolkit, right from the terminal. ⚑ Agents 🧩 Skills πŸ“ Prompts πŸ”Œ MCPs πŸ€– Model routing …and more. Build, automate, and work with AI agents without leaving your terminal. This is just the beginning. LLMTune CLI live now Beta version 🧠⚑
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GLM 5.3 started crawling in LLMtune Explorer πŸš€
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GLM 5.3 is now live on LLMTune #LLMTune #GLM53 #ConfidentialAI #Web3
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That's our kind of energy πŸ”₯ Proud to call @MossAI_Official partner and friend in this space. FAT Protocol is just getting started.
Introducing Fungible Agent Tokens (FAT) Protocol, an open standard that turns AI agents into onchain assets anyone can verify, own, and trade. Moss is a core contributor to the standard, joined by our ecosystem partners: @AlloraLabsHQ @AlphioAI @aiseerco @arpaofficial @AiCapitalMarket @BASCAN_io @BellaProtocol @ClusterProtocol @dgrid_ai @HeyElsaAI @LLMTUNE_IO @MerlinLayer2 @numbersprotocol @QuackAI_AI @RaveDAO @SvpChain Integrated chains: @arbitrum @BNBCHAIN @base @ethereum Here's how it worksπŸ‘‡
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Something new is cooking; the oven is about to open.
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The AI ecosystem is becoming increasingly fragmented. Different models. Different providers. Different capabilities. We believe the winning platform won’t be another model. It’ll be the infrastructure connecting them all. That’s our mission
There’s been a lot of speculation about where we stand on open-weights models. We’ve outlined our views in full here: anthropic.com/news/position-…
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What can you do with LLMTune? 🎯 Build AI tailored to your business Fine-tune models for your data to improve accuracy and create greater business value. πŸ† Choose the best model every time Compare models before deployment to reduce costs, save engineering time, and improve reliability. πŸ”„ Stay free from vendor lock-in Switch between AI providers through one API for maximum flexibility and lower infrastructure costs. πŸ€– Automate work with AI agents Deploy AI agents to streamline workflows, increase productivity, and scale operations. πŸ”’ Keep your data private Protect prompts and training data to meet compliance requirements and earn enterprise trust. #ConfidentialAI #AI #EnterpriseAI #AIAgents #OpenSource #LLM #GenAI #LLMTune
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LLMTune.io retweeted
πŸŽ™οΈ Are KOLs Still Worth It? β”‚ Friday, 5 PM UTC 20 KOLs posted. Impressions went up. Engagement went crazy. Then Monday came... and nothing had changed. 🫠 So, are KOLs still worth the money? We’re getting into what actually makes a KOL campaign work!
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LLMTune + Alibaba Cloud are joining forces. Check out Qwen AI Why? Because powerful AI shouldn't be expensive. And reliable AI shouldn't be out of reach. Together, we're building infrastructure that's: βœ… Strong βœ… Affordable βœ… Accessible to all #LLMTune #AffordableAI #AIInfrastructure
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