🔥 Organizations aim to harness the full potential of Generative AI face however they face significant challenges such as developing sophisticated benchmarks, discovering the optimal data mix for model building and fine-tuning, and more. 🚀 Let’s see how Kili Technology can address these challenges 👇 🔹 Leveraging GenAI for Faster Dataset Creation: - Integration with Labelling Copilots: Using GenAI as a copilot to efficiently create evaluation and fine-tuning datasets, iterate on prompts, benchmark performance, and scale labeling efforts. - Automation with SMEs: Collaborate with Subject Matter Experts (SMEs) and GenAI to refine prompts, review performance, and iterate, reducing manual labeling time and effort significantly. 🔹 Building Sophisticated UIs and Tools: - Customizable Labeling UIs: Develop fully customizable labeling interfaces for fine-tuning and evaluating large language models, tailored to specific project needs. - Pairing UIs with Automation: Enhance efficiency and accuracy by automating data labeling processes. Models can flag poor responses, which are then reviewed and corrected by human experts to ensure high-quality training data. 🔹 Scaling High-Quality Dataset Creation: - Human Alignment Teams: Ensure quality assurance, faster scaling, and improved feedback with accessible human alignment teams. Expert management is essential to handle complexities and iterate efficiently. By integrating GenAI with expert networks and project management, organizations can scale the creation of high-quality datasets, leading to more effective and valuable Generative AI applications.✨ Read more in our new blog article here 👇 #GenAI #DataLabellingSolutions #Datasets
Monisha Salian
3mo
Insightful! ✨
Insightful!