NEWSLETTER
From innovation to impact: How AWS and NVIDIA enable real-world generative AI success
As we gather for NVIDIA GTC, organizations of all sizes are at a pivotal moment in their ai journey. The ...
Tag: RealWorld
Benchmarking OCR APIs on Real-World Documents
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Real-world use cases: strategies that will close the gap between development and production | by Hampus Gustavsson | January 2025
Image generated by Dall-e. All images and visualizations in this article are created by the author.Data science proves its value ...
Salesforce AI introduces TACO: a new family of multimodal action models that combine reasoning with real-world actions to solve complex visual tasks
Developing effective multimodal ai systems for real-world applications requires handling various tasks, such as fine-grained recognition, visual basis, reasoning, and ...
Improving Clinical Diagnosis with LLM: Challenges, Frameworks, and Recommendations for Real-World Applications
The use of LLM in clinical diagnosis offers a promising way to improve doctor-patient interactions. The patient's history is essential ...
This AI paper presents SWE-Gym: a comprehensive training environment for real-world software engineering agents
Software engineering agents have become essential for managing complex coding tasks, particularly in large repositories. These agents use advanced language ...
Leverage virtual reality and 3D printers for real-world relevance
Join eSchool News for the 12 Days of edtech with the most read and loved stories of 2024. On the ...
Three Tips for Authentically Engaging Students in Real-World STEM Learning
Key points: Earlier this year, I was teaching science to a group of ninth grade students participating in a summer ...
ChainBank taps into $47 billion neobanking industry and connects real-world assets to cryptocurrencies
(PRESS RELEASE – London, United Kingdom, November 16, 2024) ChainBank is redefining global crypto transactions through its multi-chain Web3 neobank. ...
From RAG to fabric: Lessons learned from building real-world RAGs at GenAIIC – Part 2
In Part 1 of this series, we defined the Retrieval Augmented Generation (RAG) framework to augment large language models (LLMs) ...
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