Скачать или смотреть Evaluating LLM Performance for Named Entity Recognition with Labelbox

🎥 Evaluating LLM Performance for Named Entity Recognition with Labelbox 🏷️🔍

In this video, we'll demonstrate how to leverage Labelbox's powerful features to identify named entities, such as brands and products, using large language models (LLMs). 🤖📚

We'll also explore how to set up a model experiment to compare LLM predictions against human-validated ground truth annotations. 📊✅

Chapters:
00:00 Setting up Ontology 📋🏷️
00:32 Creating a New Ontology 🆕📋
01:13 Navigating to Dataset 📂🔍
01:33 Selecting Models for Prediction 🤖🔍
02:04 Selecting Ontology and Predicting 📋🎯
02:50 Generating Previews and Examples 👀🖼️
03:21 Saving the Model as an App 💾📱
04:04 Viewing Model Run Results 📊👀
04:36 Extracting Responses Using Labelbox's API 📥🐍
04:49 Processing the JSON Response 📦🔍
05:19 Passing Data to Annotate Project 📤🏷️
06:46 Sending Data for Initial Review 📨👀
07:16 Reviewing and Validating Data ✅🔍
08:06 Evaluating LLM Performance 📈🤖
08:38 Setting up Model Experiment 🧪⚙️
09:28 Uploading Model Run Outputs for Comparison 📤📊
10:28 Executing the Upload ⏫💾
10:49 Evaluating Model Performance 📊✅
11:18 Analyzing Model Metrics 📈🔍

Key Takeaways:
✅ Create a custom ontology for named entity recognition
✅ Select and run foundation models, like GPT, for predictions
✅ Customize prompts and generate previews for optimal performance
✅ Save model configurations as reusable apps
✅ Extract model run responses using Labelbox's API and process JSON
✅ Pass data to annotation projects for human review and validation
✅ Set up model experiments to compare LLM predictions against ground truth
✅ Analyze model performance metrics and identify edge cases


Ready to supercharge your named entity recognition workflows? 🚀

Visit https://labelbox.com to start leveraging the power of Labelbox and LLMs for your NLP tasks today! 🌟

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#EntityExtraction #InformationRetrieval #LanguageModels #TransformerModels #Few-ShotLearning #PromptEngineering #NLPPipelines #LLMApplications

Stay tuned for more in-depth tutorials and real-world use cases as we continue to explore the exciting possibilities of Labelbox and LLMs for natural language processing! 🎓🔬

Let's unlock the full potential of your text data together. 💪📚