Sahara AI

Every AI system learns by studying examples. But those examples don’t come ready-made. Take a deep dive into how training data is collected, cleaned, and labeled before AI can make sense of it. We’ll cover data annotation best practices and more. https://lnkd.in/gbkN4dcj #dataannotation #datalabeling #dataservices #ai #genai

The Sahara AI ecosystem has grown quickly with multiple product launches, new reward systems, and the rollout of our public testnet. To make it easier for everyone to understand where they fit in, we’ve created this guide to explain what each of our products do, who they're for, and how you can get involved!

What an evening at the AWS Builder Loft discussing "Fine-Tuning Domain Models: Does Better Data Beat Bigger Models?" A massive thank you to the team at Amazon Web Services (AWS) and all the technical leaders who joined us during the #SFTechWeek. The consensus is clear: high-quality, curated data is the true key to building superior, domain-specific LLMs. Shoutout to our host Jean Malha from Amazon Web Services (AWS), our amazing panelists Rohan Taori from Anthropic; Kiran L. from Sanas, Bo Zhao from Pinterest for their insights, and our Head of Product, James Costantini for sharing practical demos and case studies. The future of domain LLMs is going to be about smarter data, not just bigger models!

Our Co-Founder and CEO, Sean (Xiang) Ren quoted in PYMNTS on the risks of centralized control: "There is often no transparency on how users' proprietary models and agents are used by these centralized AI providers, and no protection or compensation for users' contributions." Read the full story on Big Tech's AI power: https://lnkd.in/g-TqxqaA

Bigger isn’t always better. Join this technical discussion on how high-quality data fuels domain models at #SFTW with AWS x Sahara AI. Followed by a cocktail reception. 👉 Spots are Limited: https://luma.com/0g2rwbjo

Sahara AI's official website is www.SaharaAI.com Big things rolling out soon. Start here to catch up. 👀

Calling AI Builders in the Bay Area! Sahara AI is hosting a private, invite-only dinner at Berkeley this week and you’re invited to apply. 📅 August 6, 2025 | 🕖 7PM – 10PM 📍 Berkeley This will be an intimate evening with 20 hand-picked researchers, developers, builders, and founders shaping the next wave of Blockchain x AI. This isn’t another panel or pitch. It’s a chance to: ✨ Connect with the Sahara AI core team ✨ Trade ideas with other leading minds ✨ Build meaningful relationships over good food & great conversation Let’s shape the frontier of AI + Web3 together. 👉 https://lu.ma/ljv9f6cc #AI #Web3 #Blockchain #Crypto #Berkeley #BayAreaTech

Sahara AI at SBC 2025 🔆 Next week, we’re headed to the Science of Blockchain Conference (SBC) — hosted by Stanford, IC3, and UC Berkeley — to join the world’s leading blockchain researchers and builders. We’ll be hosting our Agent Building Workshop, where participants will learn how to: 🔆 Build AI agents with no code 🔆 Bring AI onchain 🔆 Explore real-world use cases in a live demo + Q&A It’s the perfect chance to see how decentralized AI is becoming more accessible than ever. There’s still time to sign up — will we see you there? 👀 🔗 Register here: http://lu.ma/9q7904eb

The AI economy is no longer a concept. It’s live — and it’s paying. With the launch of Sahara AI’s Data Services Platform (DSP), anyone in the world can now contribute to AI development and earn real rewards for their time, skill, and effort. No labs. No credentials. Just meaningful work that powers the next generation of open AI. We’re talking: • Tokenized rewards in $SAHARA, stablecoins, and partner tokens • Real-world AI development tasks, open to all skill levels • Transparent, on-chain contribution and validation • A self-sustaining data economy driven by the community This is a major shift — not just in how AI is built, but who gets to build it. Explore DSP: https://lnkd.in/d5cPSmwz Read the full article 👇