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Effectively Annotate Text Data for Transformers via Lively Learning + Re-labeling What’s Lively Learning? What’s ActiveLab? Motivation Classifying the Politeness of Text Methodology Model Training and Evaluation Use Lively Learning Scores...

Boost Transformer model performance with Lively Learning assisted data labelingWe see that selecting what data to annotate next has drastic effects on model performance. Lively learning using ActiveLab consistently outperforms random selection by a...

How I Turned My Company’s Docs right into a Searchable Database with OpenAI Converting the docs to a unified format Processing the documents Embedding text and code...

And the way you'll be able to do the identical along with your docsI also used argparse to make this docs search functionality available via the command line. When the package is installed, the...

How you can Validate OpenAI GPT Model Performance with Text Summarization Using GPT Effectively Validating GPT Model Performance Evaluation of Results Conclusion

Part 1 of a study on generative AI usage and testingWithin the figure above, there's a drastic difference within the variety of words generated for a similar ground truth. Turbo and Davinci consistently provide...

‘Text generation and chatbot AI’ topography… 700 corporations compete in 10 categories

It's counted that at the least 700 corporations are competing in the sector of text generation artificial intelligence (AI) similar to 'ChatGPT'. On the 18th (local time), VentureBeat introduced an industry topography by Daybreak Insights,...

Text and code embeddings by contrastive pre-training

Text embeddings are useful features in lots of applications resembling semantic search and computing text similarity. Previous work typically trains models customized for various use cases, various in dataset selection, training objective and model...

The Perfect Text Editor for Jupyter: A Complete Python IDE Conquer of Completion Installation Summary In regards to the Writer

From syntax highlighting to code completion, an entire Python IDE inside JupyterThis text is the fourth a part of a series. Try the complete series: Part I, Part II, Part III.Over the past few...

Cracking the Code: Mastering Text Classification with Python

Text classification is the technique of robotically categorizing text into predefined categories. That is a crucial task in natural language processing and machine learning, because it enables us to prepare and make sense of...

Text in Image 2.0: improving OCR service with PaddleOCR What’s OCR? Context Why PaddleOCR? Benchmarking one of the best OCR solution Working with PaddleOCR Text in Image service Takeaways

Read how the Cognition team improved the Text in Image service across Adevinta marketplaces using PaddleOCROptical Character Recognition (OCR) is a well-liked topic for each industry and private use. In this text, we share...

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