Use a generative AI foundation model for summarization and question answering using your own data
Large language models (LLMs) can be used to analyze complex documents and provide summaries and answers to questions. The post…
Machine Learning
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Using the Natural Language Understanding Capability of ChatGPT
Last Updated on July 3, 2023 ChatGPT as a Large Language Model, is well-known for understanding human languages. Instead of…
NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion
Novel view synthesis from a single image requires inferring occluded regions of objects and scenes while simultaneously maintaining semantic and…
Highlight text as it’s being spoken using Amazon Polly
Amazon Polly is a service that turns text into lifelike speech. It enables the development of a whole class of…
Using ChatGPT as Your Programming Assistant
A large language model is basically a machine that can understand and generate text. Depends on how it is trained,…
International ACM Conference on Research and Development in Information Retrieval (SIGIR) 2023
Virtual assistants are becoming increasingly important speech-driven Information Retrieval platforms that assist users with various tasks. We discuss open problems…
Effectively solve distributed training convergence issues with Amazon SageMaker Hyperband Automatic Model Tuning
Recent years have shown amazing growth in deep learning neural networks (DNNs). This growth can be seen in more accurate…
Advanced Techniques for Research with ChatGPT
Last Updated on July 5, 2023 Research has always been essential to human progress and has evolved tremendously over the…
Association for Computational Linguistics (ACL) 2023
Apple is sponsoring the annual meeting of the Association for Computational Linguistics (ACL), which will take place in person from…
Integrate SaaS platforms with Amazon SageMaker to enable ML-powered applications
Amazon SageMaker is an end-to-end machine learning (ML) platform with wide-ranging features to ingest, transform, and measure bias in data,…