🌟 Exciting News! 🌟 We're thrilled to announce that Toloka will be attending the International Conference on Machine Learning (ICML) from July 21-27, 2024! This prestigious event is a cornerstone in the AI and machine learning community, and we can't wait to connect with fellow innovators and thought leaders. 📍 Meet the team at booth 204 and be part of the conversation shaping the future of AI! #ICML2024 #MachineLearning #AI #DataAnnotation #Innovation #TolokaAI
Toloka
IT-services en consultancy
Your high quality data partner for all stages of AI development
Over ons
Toloka empowers businesses to build high quality, safe, and responsible AI. We are the trusted data partner for all stages of AI development from training to evaluation. Toloka has over a decade of experience supporting clients with our unique methodology and optimal combination of machine learning technology and human expertise, offering the highest quality and scalability in the market.
- Website
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https://toloka.ai/
Externe link voor Toloka
- Branche
- IT-services en consultancy
- Bedrijfsgrootte
- 51 - 200 medewerkers
- Hoofdkantoor
- Amsterdam
- Type
- Naamloze vennootschap
- Opgericht
- 2014
- Specialismen
- Data Annotation, Data Labeling, Machine Learning, Computer Vision, Autonomous Driving, Training Data, Deep Learning, Search, Data Collection , Text creation, Crowdsourcing, Product descriptions, Web research, Tagging, Categorization, Surveys, Sentiment analysis, AI Training Data en Natural Language Processing (NLP)
Producten
Toloka
Datawetenschap- en machinelearningplatforms
A unified environment to support fast and scalable AI/ML development: from data collection and annotation to model training, deployment and monitoring.
Locaties
Medewerkers van Toloka
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Andrew Braun
Global Accounts at Toloka, a global leader in crowd science and AI
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Dmitry Stepanov
Entrepreneur, investor, advisor, judge Forbes 30 under 30
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Dmitriy Kachin
VP of Product - Hybrid Data Labeling at Toloka AI | ex-COO, Chatfuel (YC, W16)
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Beth Schmeisl
Experienced Senior Copywriter and Editor | Marketing Strategist
Updates
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🌟 Large Language Models (LLMs) are transforming industries and contributing positively to society, but they also come with challenges. Here’s how LLMs can make a difference: 💡Expanding Language Accessibility: By enabling LLMs to support less common languages, we break barriers to information, democratize AI use, and foster a more inclusive society. 💡Connecting Citizens and State: LLMs can simplify public sector bureaucracy, making services more efficient and intuitive, as seen in initiatives like France's and Singapore's. 💡Impact on Mental Health: AI-driven mental health solutions, like Woebot and Wysa, show promise in addressing loneliness and psychological health, though high-quality data and expert input are crucial. As we navigate the potential and pitfalls of LLMs, focusing on their positive applications can help us leverage this technology to improve learning, societal organization, and overall well-being. Read insights from our very own Dr. Ivan Yamshchikov as featured in inside AINEWS. Read the full article: https://lnkd.in/deT53Jew #AI #MachineLearning #DataScience #Innovation #MentalHealth #PublicSector #LanguageAccessibility
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🔍 Looking for people involved in ML/GenAI production! We’re inviting professionals with hands-on experience in ML/GenAI production to participate in our paid research study. If you require significant amounts of data or frequent instances of human signals for model development (post-training) or quality control, or if you manage data annotation teams, we want to talk to you! 💡 Your insights will help shape the future of our new self-serve platform for ML/GenAI data production. 💰Compensation: $100 Amazon gift card ⏰ Format: 45-minute online interview If you're interested, please fill out this short survey to confirm you’re a good fit. Click the link in the comments 👇
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Many general-purpose Large Language Models (LLMs) struggle to perform in specialized areas like law ⚖️, engineering 🏗️, coding 💻, or medicine 🩺. 🔍 Toloka has crafted a solution that combines human expertise with modern Machine Learning (ML) techniques in a data-gathering pipeline, in order to tackle this. Our approach combines: ⚡Human-AI Collaboration: Combining human expertise and machine learning for high-quality data. ⚡Scalable Pipeline: Efficiently collecting and verifying data for Supervised Fine-Tuning (SFT). ⚡Data Quality: Emphasizing robust verification processes to ensure top-tier datasets. ⚡Customization: Tailoring datasets for specific domains and industries. Learn more about how we’re transforming code generation with innovative approaches! Link in comments👇... #AI #MachineLearning #DataScience #CodeGeneration #Innovation
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At Toloka, we work closely with AI Tutors and Domain Experts to produce high-quality data for training LLM models. AI Tutors provide general knowledge training examples, while Domain Experts ensure models receive accurate training data within their specialized fields. From the beginning, we have focused on making their work engaging and interesting, and we are happy to share that our efforts have paid off. Recently, we conducted a survey to measure their satisfaction and likelihood of recommending their positions. We're thrilled to report that both AI Tutors and Domain Experts rated their satisfaction above 4 out of 5. Additionally, our Net Promoter Score is significantly above the industry average. If you need LLM data training, reach out to us and be assured that your data is created by satisfied professionals. https://lnkd.in/d_gQWq4X
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LLM developers rely heavily on publicly available data sources for training their models. However, many companies are secretive about the details of the actual data sources used in the process. In our latest blog, Pierre-Carl Langlais, co-founder of PleIAs, explores the importance of open data in the ML ecosystem and discusses how openness can help build more responsible and ethical AI. https://lnkd.in/damkdU6v #OpenData #LLMs #genAI #OpenSource #AI #resposibleAI #ArtificialIntelligence #ML
Why LLM developers have to open their data (again)
toloka.ai
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When creating LLMs or LLM-based products, you must ensure your models are helpful, truthful, and harmless. Check out this insightful article by Magdalena Konkiewicz where she covers key principles for creating ethical AI, focusing on: - Supervised Fine-Tuning (SFT) - Reinforcement Learning from Human Feedback (RLHF) - LLM evaluation Learn how to effectively align your models, and maintain accuracy and safety. #AI #LLMs #EthicalAI #MachineLearning #DataScience #GenAI #ResponsibleAI https://lnkd.in/d6AYnexD
Developing LLMs that are helpful, truthful, and harmless
toloka.ai
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Join us today at the TAUS conference for a panel discussion on managing content quality in a hyper-automated world. At 2:20 PM Rome time, Natalia Fedorova, along with other AI Developers and Quality Estimation experts, will discuss the latest advancements in content review. Discover how quality assessment has evolved, exploring both automatic metrics and human evaluation strategies. #genAI #AI #ResponsibleAI #ArtificialIntelligence
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We are thrilled to be featured by Bessemer Venture Partners in their AI Infrastructure Roadmap https://lnkd.in/dxdN7pbJ The document emphasizes the importance of specialized tools for AI product development, and Toloka is proud to be recognized in the Data Transformation & Curation section. Unlike many companies offering tool-based solutions, we partner with our clients, providing both cutting-edge technology and extensive expertise in data curation for AI, resulting in highly customized services. If you're seeking a reliable data partner for building LLMs and GenAI products, we can assist with crafting fine-tuning datasets, RLHF/DPO data, model evaluation, and red teaming. Let's build the future of AI together! #genAI #LLMs #AI #ArtificialIntelligence #VC #VentureCapital
Roadmap: AI Infrastructure
bvp.com
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Excited to attend TAUS Massively Multilingual AI Conference in Rome! Eager to gain new insights from the talks, panel discussions, and presentations. Connect with Natalia Fedorova and Christopher Greco to discuss how data drives the development of multilingual LLMs and AI products. #genAI #multilingualAI #LLMs #responsibleAI
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