As AI ventures deeper into uncharted territory, one thing is clear: it’s no longer about relying solely on massive datasets from the web. The new frontier is acquiring high-quality, labeled data through a data-centric AI approach. “There’s no more free lunch. You can’t rely on web-scale datasets anymore. You have to go and purchase it or produce it. That’s the frontier we’re at now,” says Alexander Ratner, CEO of Snorkel AI, in a new Financial Times feature by George Hammond. Discover how companies like Snorkel AI are making data development programmatic—labeling data in weeks, not years. 🔗 Read the full article: https://lnkd.in/e_Zftf48
Snorkel AI
Software Development
Redwood City, California 41,899 followers
The data-centric AI platform powered by programmatic labeling and foundation models
About us
Snorkel AI makes AI development fast and practical by transforming manual AI development processes into programmatic solutions. Snorkel AI enables enterprises to develop AI that works for their unique workloads using their proprietary data and knowledge 10-100x faster. Five of the top ten US banks, several government agencies, and Fortune 500 companies use Snorkel. Snorkel’s core research was developed at Stanford AI lab and is deployed at Google, Intel, Apple, IBM, DARPA, and other trailblazing organizations. Backed by Addition, Greylock, GV, In-Q-Tel, Lightspeed Venture Partners and funds and accounts managed by BlackRock, the company is based in Palo Alto. For more information on Snorkel AI, please visit: https://www.snorkel.ai/ or follow @SnorkelAI.
- Website
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https://snorkel.ai
External link for Snorkel AI
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- Redwood City, California
- Type
- Privately Held
- Founded
- 2019
- Specialties
- enterprise ai, weak supervision, programmatic labeling, artificial intelligence, machine learning, data science, technology, software, foundation models, LLM, Generative AI, GPT-3, ChatGPT, NLP, computer vision, and document intelligence
Locations
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Primary
Get directions
55 Perry St
Redwood City, California 94063, US
Employees at Snorkel AI
Updates
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Guess who's kicking off #SnorkelCon2024? Our very own Alexander Ratner 🎉 We couldn't be more excited to have Alex, our co-founder and CEO, share his passion for data-centric AI as our opening keynote speaker. Alex will dive into: 🔍 The role of data-centric AI in turning GenAI hype into real business impact 🔍 The future of AI: Why specialized models are key to unlocking enterprise value 🔍 Some exciting developments we've been working on (sneak peek alert! 👀) 📅 October 16-17, 2024 📍 Lavan Midtown, NYC Don't wait to register for FREE! 👉 snorkel.ai/snorkelcon We can't wait to see you at this milestone event.
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OpenAI recently released their guide to model selection, and it’s music to our data-centric AI hearts! 🎶 As they highlight: "By switching from GPT-4o to GPT-4o-mini with fine-tuning, we achieved equivalent performance for less than 2% of the cost, using only 1,000 labeled examples."This is a powerful example of data-centric AI in action— fine-tune smaller models to get the performance you need at the cost you want. 🚀 Curious how this approach can transform your AI strategy? Dive into the details of model selection, fine-tuning, and data-driven optimization: https://lnkd.in/ebwtmuyM
OpenAI Platform
platform.openai.com
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🚀 Big news! Snorkel is hosting its first-ever user conference: SnorkelCon 2024! 🧠 📅 October 16-17, 2024 📍 Lavan Midtown, Manhattan In a year of big AI claims and investments, we're still early in deploying AI in real-world applications. At SnorkelCon, explore how specialized, data-centric AI models can turn GenAI hype into tangible business value. What to expect: Day 1️⃣: Hands-on Snorkel Flow workshop on building AI apps using data-centric workflows and weak supervision. Day 2️⃣: Full-day conference featuring AI leaders from finance, healthcare, and retail discussing leveraging proprietary data for specialized, production-ready models. Why attend? ✅ Learn from top AI researchers and practitioners ✅ Discover how to develop and refine AI models ✅ Network with industry leaders ✅ See how specialized models can drive real business value Free admission, but spots are limited. Register now to secure your place! 👉 snorkel.ai/snorkelcon
Join fellow data and AI leaders at SnorkelCon in NYC on October 16-17 to hear how you can use your data to unlock the future of AI in the enterprise. 💻 Day 1 will feature hands-on workshops on October 16. 📆 Day 2 will feature two tracks of conference sessions on October 17. Attendance is free, but space is limited, so be sure to check out the full conference lineup and save your spot today! 🔗 👇
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Join fellow data and AI leaders at SnorkelCon in NYC on October 16-17 to hear how you can use your data to unlock the future of AI in the enterprise. 💻 Day 1 will feature hands-on workshops on October 16. 📆 Day 2 will feature two tracks of conference sessions on October 17. Attendance is free, but space is limited, so be sure to check out the full conference lineup and save your spot today! 🔗 👇
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Well, would you look at that! Snorkel just landed on the 2024 Cloud A.I. Awards shortlist, and not just in one category, but three! 🎉 Here's where we're shining: 🏆 Most Advanced AI Environment 🏆 Best Use of AI in Finance 🏆 Best Use of AI in Retail and eCommerce Making the shortlist is a fantastic recognition of our team's dedication and innovative spirit. It's incredibly motivating to see our efforts acknowledged alongside some of the most groundbreaking companies in the AI space alongside #Glean and #NVIDIA. This shortlist nod validates the trust that companies like #BNYMellon and #Wayfair place in us as their AI partner. It showcases the real-world impact our solutions are making across industries, from finance to retail and e-commerce. Being shortlisted is an honor, but we know there's more work ahead. We're committed to advancing AI technology and delivering innovative solutions. Thanks to our team, partners, and clients for their support in reaching this milestone. We're excited about Snorkel's potential to shape the future of AI as we continue this journey together.
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Great collaborations yield amazing work! Google + Snorkel AI join forces again, this time in LA to share best practices on fine tuning, prompting and AI data development to yield better model results.
I've gone to a few SoCal GenAI Meetups, and I'm happy to say Snorkel AI contributed to another successful one last night at Google's office in LA. We had over 100 attendees (highest yet!). Standing room only for Bradley Fowler's talk on LLM fine tuning. Brad got in a rhythm going through notebook code on advanced prompt designs, labeling functions (LFs), quality models. Even broke out some theory breaking down SFT, PPO, DPO, KTO, ORPO (!!!!) (IYKYK). Absolute ML savagery. And - surprisingly - the audience could hang! Thanks to John Carnahan, Rohani Rajaratnam (PMP), Debbie (Ka) Chamkasem for your great work community building here in Southern California. Daniel Dawson Joni Ricard for being incredible hosts from Google. Plus the 9 (!) Snorkelers who came through. 🙏
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Terrific article from Sharon Goldman in Fortune on the cost of making enterprise data AI-ready. "Corporate customers can spend millions of dollars on data labeling and other data development tasks, which can eat up 80% of their time and AI budget." -- Alex Ratner, Snorkel CEO and Co-Founder Companies can mitigate these costs by approaching data labeling more programmatically, like software development- which is what Snorkel AI uniquely enables, and currently drives at a range of federal agencies and enterprises like BNY, Wayfair and six of the ten top US banks.
NEW for Fortune: Building today’s massive AI models can cost hundreds of millions of dollars, with projections suggesting it could hit a staggering billion dollars within a few years. Much of that expense is for computing power from specialized chips—typically Nvidia GPUs, of which tens of thousands may be required, costing as much as $30,000 each. But companies training AI models, or fine-tuning existing models to improve performance on specific tasks, also struggle with another often overlooked and rising cost: data labeling. This is a painstaking process in which generative AI models are trained with data that is affixed with tags so that the model can recognize and interpret patterns. Data labeling has long been used to develop AI models for self-driving cars, for example. A camera captures images of pedestrians, street signs, cars, and traffic lights and human annotators label the images with words like “pedestrian,” “truck,” or “stop sign.” The labor-intensive process has also raised ethics concerns. After releasing ChatGPT in 2022, OpenAI was widely criticized for outsourcing the data labeling work that helped make the chatbot less toxic to Kenyans earning less than $2 hourly. Today’s generic large language models (LLMs) go through an exercise related to data labeling called Reinforcement Learning Human Feedback, in which humans provide qualitative feedback or rankings on what the model produces. That is one significant source of rising costs, as is the effort involved in labeling private data that companies want to incorporate into their AI models, such as customer information or internal corporate data. In addition, labeling highly technical, expert-level data in fields like legal, finance, and healthcare is driving up expenses. That’s because some companies are hiring high-cost doctors, lawyers, PhDs, and scientists to label certain data or outsourcing the work to third-party companies such as Scale AI, which recently secured a jaw-dropping $1 billion in funding as its CEO predicted strong revenue growth by year-end. Thanks to William Falcon Kjell Carlsson, Ph.D. Neal K. Shah Matt Shumer Bob Rogers for their comments! https://lnkd.in/eygmGJi3
The hidden reason AI costs are soaring—and it’s not because Nvidia chips are more expensive
fortune.com
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See how one of Snorkel's customers built a better call center experience with AI. Snorkel's Maxwell Williams tells Matt M. Casey through how he helped a Snorkel customer build a real-time analytics system for incoming call center calls. The high-cardinality application allows the company to spot—and respond to—emerging customer trends faster than ever before. This project was just the first step for this Snorkel customer. They aim to use AI to build better experiences in every customer touch-point. #enterpriseai #callcenter #customerexperience
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We've made it easier to build computer vision applications in Snorkel Flow! Frontend Engineer Alex Scheller explains to Matt M. Casey just how quick and easy we've made it to create new #CV applications in our 2024.R2 release. Read more about the latest release for the Snorkel Flow AI data development platform here: https://lnkd.in/eZ_akMsa