Looking to fine-tune Large Language Models (LLMs) but not sure where to start? Fine-tuning LLMs can be a complex process, but having the right tools makes all the difference. From managing datasets to evaluating performance, each step requires precision. In this blog, we break down: Tools for data preparation ??? Fine-tuning frameworks ?? Evaluation techniques ?? Whether you're a beginner or an expert, these tools will save you time and effort. ?? Read the full guide here: https://lnkd.in/dVH48dAu #LLM #FineTuning #AItools #MachineLearning
Labellerr
软件开发
Wilmington,Delaware 4,100 位关注者
AI-Driven Data Labeling and Automation Solutions for Accelerating Computer Vision Projects Across All Industries.
关于我们
Labellerr is a cutting-edge SaaS platform that accelerates AI development for organizations by offering AI-powered data labeling and automation. Our technology, featuring a unique Smart Feedback Loop, empowers machine learning teams to efficiently train computer vision models. We provide AI-powered data labeling and image annotation services, enabling fast, accurate, and iterative access to high-quality training data. Our platform optimizes unstructured data for seamless model training. Labellerr helps industries like healthcare and autonomous vehicles streamline data pipelines, improving accuracy and development speed. Services: Data Labeling for AI: High-quality, scalable data labeling to train machine learning models. Annotation for Machine Learning: Image, video, and text annotation services for AI model training. Smart Feedback Loop: Continuous optimization and automation for faster, iterative data training. Data Pipeline Automation: Streamlining data workflows to enhance AI model accuracy and efficiency. Specialties: Computer Vision ? Unstructured Data Management ? Machine Learning Model Training ? Healthcare AI Solutions ? Autonomous Vehicle AI Development ? Retail and Smart Cities AI Explore more at: https://www.labellerr.com/
- 网站
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https://www.labellerr.com?utm_source=linkedin&utm_medium=org_info&utm_campaign=website_link&utm_id=linkedin_page&utm_content=description
Labellerr的外部链接
- 所属行业
- 软件开发
- 规模
- 11-50 人
- 总部
- Wilmington,Delaware
- 类型
- 私人持股
- 创立
- 2019
- 领域
- deeplearning、data annotation、data labeling、artificial intelligence、machine learning、image、video、geospatial、labelling software、saas、computer vision、MLOps、Model selection、Model training、managed service、enterprise saas、AI consulting、data science和data preparation
地点
Labellerr员工
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Puneet Jindal
Puneet Jindal是领英影响力人物 Top Voice | Enable 10x speed in AI dev with Labellerr (Top 10 automated data labeling tools 2024 by G2)
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Neeru Gupta
Labellerr's Data Quality/Annotation Lead | BI Analytics, MySQL Expert
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Robert Azihemba
General Supervisor at WestKenya Sugar Company
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Ximi H.
Labellerr | Medalist @ IIT Ropar
动态
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???Boosting Waste Sorting with Labellerr's Auto-Labeling Before: Manually labeling waste images was: ?? Time-consuming ?? Prone to human error ?? Inefficient for scaling projects After: With Labellerr’s Auto-Labeling: ? Save countless hours with automated image annotations ? Improve accuracy and consistency in labeling ? Scale waste sorting datasets effortlessly Labellerr is helping organizations streamline waste management by automating the tedious parts of data labeling. Curious how this works? ?? Explore the full story here ?? https://lnkd.in/dSFDQesj #WasteManagement #DataAnnotation #AutoLabeling #AIForGood #Sustainability
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?? Reinforcement Learning from Human Feedback (RLHF): The Key to Smarter AI AI models learn better when guided by human feedback. RLHF bridges the gap between AI and human values by integrating real-world insights into machine learning. In our latest blog, we cover: ? What RLHF is and how it works ? How it improves AI alignment with human preferences ? Its real-world applications and potential challenges Learn how RLHF is shaping the future of ethical, efficient, and user-focused AI systems. Check out the blog ?? https://lnkd.in/djzEaSdS #ReinforcementLearning #AI #HumanFeedback #MachineLearning #AIAlignment
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?? What is Data Labeling and Why is it Crucial for AI? ?? Data labeling is the backbone of machine learning. It turns raw data into valuable, structured information that AI models can understand and learn from. In our blog, we explore: ? The importance of data labeling ? Key uses across industries ? The labeling process, from start to finish ? Different types of labeling techniques ? Best Tools to boost your data labeling process Whether you’re new to AI or a seasoned professional, understanding data labeling is key to building smarter and more accurate models. Dive into the full guide to get the complete picture Read more ?? https://lnkd.in/dehCbdsH #DataLabeling #MachineLearning #AI #DataScience #TechBasics #DataAnnotation
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?? AI Model Training: What You Need to Know! ?? Building an AI model can seem complex, but understanding the basics of AI model training can make it easier. From gathering the right data to choosing the best algorithms, each step shapes how well your AI performs. In our article, we break down everything you need to know – from data preparation to training techniques and evaluation methods. Perfect for anyone curious about how AI models are built and what makes them work effectively. Dive in and learn how AI models are trained to solve real-world problems! Read more here: https://lnkd.in/d8haPxqm #AIModelTraining #MachineLearning #AI #DataScience #TechSimplified
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?? Comparing Language Models: Parameters vs. Real-Life Performance ?? With AI’s rapid evolution, understanding how language models perform in real-world scenarios, beyond just parameter counts, has never been more important. In our blog, we break down the differences between assessing models by sheer parameter numbers versus real-life application experiments. Curious about which approach gives the most reliable insights? We’ve got the analysis and examples to help you make more informed choices for your projects. ?? Read more: https://lnkd.in/dA6tArgM #AI #MachineLearning #LanguageModels #NLP #AIResearch #Labellerr #DataScience
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?? Navigating the World of Data Labeling: Free vs. Paid Tools ?? Choosing between free and paid data labeling tools can make a huge impact on the quality, speed, and scalability of your AI projects. Our blog dives deep into the benefits and limitations of each, helping you decide which option best fits your needs and goals. Read more: https://lnkd.in/dBBCjFdT Whether you’re working on a budget or looking to scale quickly with top-tier features, understanding the trade-offs is crucial. Get a comprehensive comparison to power your next project! ?? #DataLabeling #AI #MachineLearning #DataAnnotation #Labellerr #AIInsights
Top Data Labelling Tools: Features & Use Cases
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