SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing your AI models faster with the highest-quality training data. With advanced annotation and QA tools, data curation, automation features, native integrations, and data governance, we enable enterprises to build datasets and successful ML pipelines. Partner with SuperAnnotate’s expert and professionally managed annotation workforce that can help you quickly deliver high-quality data for building top-performing models.
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We are super excited about our upcoming webinar with Amazon Web Services (AWS)! With SuperAnnotate and AWS, enterprises can easily build proprietary datasets for fine-tuning, dramatically improve #LLM model performance, and deploy LLMs into the enterprise faster than ever. Join to find out how!
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We are having a great Day 1 at ECCV expo! Our team is loving talking to all of you and sharing all the ways we can help with your projects. If you are attending, make sure to stop by our booth and have a chat. #SuperAnnotate #ComputerVision #ECCV2024
GumGum, a leader in Contextual Intelligence, excels in digital advertising by leveraging #AI to ensure brand safety and precise contextual targeting. A key to their success lies in the partnerships with SuperAnnotate and Databricks, which accelerates their #dataannotation and model #finetuning processes. Discover the challenges they encountered and how these collaborations helped them succeed. Link in comments!
We’re thrilled to share that we’ll be joining the European Conference on Computer Vision (#ECCV2024) expo in Milan from Oct 1-3. 🚀 Come visit us at Booth 45 to learn more about our latest developments and chat with our team. Can’t wait to see you there!
Fine-tuning LLMs for business-specific data offers: ✅ Enhanced accuracy ✅ Customized interactions ✅ Better data privacy ✅ Handling rare scenarios effectively Fine-tuning sharpens #LLM capabilities to meet your unique business needs. Want to learn more? We cover everything you need to know about #finetuning large language models in 2024. Link in comments!
✅ Clearly define your task ✅ Choose the right pre-trained model ✅ Set appropriate hyperparameters ✅ Evaluate model performance regularly These practices ensure your fine-tuning efforts are effective and efficient. Want to learn more? We cover everything you need to know about fine-tuning large language models in 2024. Link in comments!
REM People, a leading retail execution company, has made significant strides in optimizing their #AI and #computervision solutions. In achieving this, REM People turned to SuperAnnotate, a decision that has significantly enhanced their #dataannotation process, improved productivity, and bolstered the accuracy of their AI models. Learn how SuperAnnotate helped REM People elevate retail execution! Link in comments!
Selecting the right tool for fine-tuning is crucial. SuperAnnotate's #LLM tool offers a customizable interface for creating optimal training data. It supports various use cases like GPT #finetuning, chat rating, and more. What tools are you using for fine-tuning? Want to learn more? We cover everything you need to know about fine-tuning large language models in 2024. Link in comments!
#RAG combines natural language generation and information retrieval, grounding language models with up-to-date knowledge. This technique ensures accurate and context-rich responses, bridging the gap between general models and specific needs. Want to learn more? We cover everything you need to know about fine-tuning #largelanguagemodels in 2024. Link in comments!