Radal
Fine-Tune Small Language Models
Helps TikTok sellers, brands, MCNs, and TAPs discover winning products and find creators.
HelpLook is an AI-powered all-in-one knowledge base tool that helps businesses quickly build knowledge bases, help centers, and...
Your AI Workspace
302.AI is an enterprise-grade AI resource platform with pay-as-you-go pricing, API access to a full range of AI models, and ready-to-use online applications.
剧火AI — AI Screenwriter + Director, a One-Person Short Drama Studio In one sentence, what is it?
What is GPT OSS? GPT OSS marks a transformative step in making advanced AI widely available, introduced by OpenAI on August 5, 2025. This open-source family includes two robust models, GPT-OSS-120B and GPT-OSS-20B, engineered for complex reasoning an
Ever stumbled upon Perplexity AI and wondered what it's all about? Well, let me break it down for you. Perplexity AI isn't just another search engine; it's a smart AI-powered tool that taps into the power of large language models and traditional search en
Nextpart.ai is not just another chat app—it's a gateway to a whole new world of interactive AI experiences. Imagine a platform where you can craft your own characters, complete with unique appearances, personalities, and engaging storylines. That's Nextpa
Ever wondered what happens when two of the most advanced language models meet under one roof? That’s where Moton AI comes into play. For a single subscription fee, you get access to both Claude and GPT-4. Think of it as having two of the smartest brains w
Ever wondered how the AI models you use daily are trained? Enter Surge AI, the powerhouse behind some of the most robust datasets out there. This isn't just another platform; it's a global data labeling hub that connects you with a workforce capable
Radal Product Information
What is Radal?
Radal is a no-code platform designed to fine-tune small language models with your proprietary data. It helps startups, researchers, and enterprises to rapidly connect datasets, visually configure training workflows, and deploy custom AI models in minutes—all without MLOps overhead.
How to use Radal?
With its intuitive visual interface, Radal streamlines the training of small language models. Users can easily connect datasets, design training flows with drag-and-drop tools, and collaborate with an AI Copilot. Models are trained in a single click, visually refined, and can be deployed swiftly—including on edge devices.
Radal's Core Features
No-code visual training workflow
AI Copilot for personalized flow design
Hugging Face integration for automated publishing
Export quantized models for local and edge deployment
One-click training with visual iteration
Radal's Use Cases
Industrial IoT: Predictive Maintenance (enhance edge models using sensor logs to detect anomalies in real time and minimize downtime)
Healthcare: On-Premise Data Security (fine-tune clinical models on patient records for secure note generation within hospital systems, meeting HIPAA compliance)
LegalTech: Legal Teams (train legal models on firm-specific data to draft motions, highlight key precedents, and maximize attorney productivity)
EdTech: Offline Mobile Learning (train on-device SLMs with curriculum materials for instant academic assistance without internet access)
SaaS: Customer Support (fine-tune models using support tickets and FAQ documents to automate responses to common inquiries)
FinTech: Edge Payment Processing (fine-tune edge models with transaction logs to enable real-time fraud detection on payment terminals)
FAQ from Radal
What model sizes can Radal train?
Can I bring my own base model?
How does the Copilot feature work?
How can I test my trained model?
Why build this platform? Aren't LLMs capable enough?
When can I get started?
Radal Support Email & Customer service contact & Refund contact etc.
For additional contact options, please visit the contact us page(https://radal.ai/#contact)
Radal Company
Company Name: Radal AI .
Radal Login
Access your account here: https://app.radal.ai
Radal Screenshot
Radal looks like a game-changer for startups without a huge ML team! 🚀 The no-code aspect is super appealing since I hate dealing with complex training scripts. Finally, a way to fine-tune small models with proprietary data without hiring expensive engineers. 🤖✨ Can't wait to test the visual workflow config. #AI #NoCode
이런 no-code 도구는 처음 써봐요. 데이터 연결이 생각보다 직관적이네요 🔥 작은 모델 튜닝에 필요한 시간이 확 줄었어요. 다만 엔터프라이즈급 데이터 보안이 좀 걱정되네요. 가격 정책은 어때요? 아직 데모만 돌려봤지만, 스타트업에 괜찮은 솔루션일 것 같아요!
As a small team, we've been struggling to fine-tune models without heavy coding. Radal looks perfect for that! The visual workflow setup is exactly what we need to iterate faster. Deploying our own custom model in days instead of weeks would be a game-changer. Fingers crossed the pricing is startup-friendly! 🤞





Home











