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Zomato Launches AI Chatbot to Personalize Food Ordering Experience

Zomato Launches AI Chatbot to Personalize Food Ordering Experience

by Anurishi Jain | Sep 1, 2023 | News

Zomato, the food delivery platform and restaurant aggregator, has launched an AI chatbot called Zomato AI. The chatbot is designed to personalize the food ordering experience for users by taking into account their preferences, dietary needs, and current moods. Zomato...

Random Feature Neural Networks Overcome Curse of Dimensionality to Learn Black-Scholes Type PDEs

by instadatahelp | Sep 1, 2023 | AI Blogs

Random Feature Neural Networks: Learning Black-Scholes Type PDEs Without the Curse of Dimensionality By Lukas Gonon; 24(189):1−51, 2023. Abstract This study explores the application of random feature neural networks in learning Kolmogorov partial...
Improving LLM Inference Efficiency through Chunked Prefills and Piggybacked Decodes

Improving LLM Inference Efficiency through Chunked Prefills and Piggybacked Decodes

by instadatahelp | Sep 1, 2023 | AI Blogs

arXivLabs is a platform where collaborators can create and share new features for arXiv directly on our website. Both individuals and organizations that participate in arXivLabs are aligned with our values of openness, community, excellence, and user data privacy. We...

The Phenomenon of Benign Overfitting in Ridge Regression

by instadatahelp | Sep 1, 2023 | AI Blogs

Benign overfitting in ridge regression Alexander Tsigler, Peter L. Bartlett; 24(123):1−76, 2023. Abstract Many modern applications of deep learning involve neural networks with a large number of parameters compared to the amount of training data. This has led to a...
Improving LLM Inference Efficiency through Chunked Prefills and Piggybacked Decodes

An Integrated Examination of Subgradient Methods in the Optimization of Composite Nonconvex, Nonsmooth, and Non-Lipschitz Functions.

by instadatahelp | Sep 1, 2023 | AI Blogs

This paper presents a new method called Prox-SubGrad for solving nonconvex and nonsmooth optimization problems without the need for Lipschitz continuity conditions. The authors introduce several subgradient upper bounds and discuss their relationships. These upper...

An Algorithmic Framework with Theoretical Guarantees

by instadatahelp | Sep 1, 2023 | AI Blogs

Clustering with Tangles: Algorithmic Framework and Theoretical Guarantees Solveig Klepper, Christian Elbracht, Diego Fioravanti, Jakob Kneip, Luca Rendsburg, Maximilian Teegen, Ulrike von Luxburg; Volume 24, Issue 190, Pages 1-56, 2023. Abstract Tangles were...
Improving LLM Inference Efficiency through Chunked Prefills and Piggybacked Decodes

The Impact of Emoji on GitHub: Encouraging Developer Engagement and Resolving Issues (arXiv:2308.16360v1 [cs.CY])

by instadatahelp | Sep 1, 2023 | AI Blogs

Despite the growing adoption of remote working during the pandemic, there is a concern about the decreased efficiency in this type of work. One of the reasons for this is the lack of non-verbal cues, such as facial expressions and body language, in text-based...
Introducing Streaming Support in Amazon SageMaker Hosting: Enhancing the Generative AI Experience

Introducing Streaming Support in Amazon SageMaker Hosting: Enhancing the Generative AI Experience

by instadatahelp | Sep 1, 2023 | AI Blogs

We are thrilled to announce that response streaming is now available through Amazon SageMaker real-time inference. This new feature allows you to continuously stream inference responses back to the client when using SageMaker real-time inference, enabling you to build...

The Statistical Robustness of Empirical Risks in Machine Learning: An Analysis

by instadatahelp | Sep 1, 2023 | AI Blogs

Statistical Robustness of Empirical Risks in Machine Learning Shaoyan Guo, Huifu Xu, Liwei Zhang; 24(125):1−38, 2023. Abstract This paper investigates the convergence of empirical risks in reproducing kernel Hilbert spaces (RKHS). Previous research has assumed that...
Improving LLM Inference Efficiency through Chunked Prefills and Piggybacked Decodes

Using BabyBERTa for Grammar Learning and Language Understanding in Toddlers (arXiv:2308.16336v1 [cs.CL])

by instadatahelp | Sep 1, 2023 | AI Blogs

Introducing ToddlerBERTa, a language model similar to BabyBERTa, that we have developed to explore its capabilities. We have experimented with five different models, each having different hyperparameters. To evaluate the performance of ToddlerBERTa, we have tested it...
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