AWS Machine Learning Blog

APRIL 4, 2025

This post explores how Lumi uses Amazon SageMaker AI to meet this goal, enhance their transaction processing and classification capabilities, and ultimately grow their business by providing faster processing of loan applications, more accurate credit decisions, and improved customer experience.

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Marktechpost

JANUARY 12, 2025

Fudan University and the Shanghai Artificial Intelligence Laboratory have developed DOLPHIN, a closed-loop auto-research framework covering the entire scientific research process. In image classification, DOLPHIN improved baseline models like WideResNet by up to 0.8%, achieving a top-1 accuracy of 82.0%.

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John Snow Labs

JUNE 27, 2023

Prepare to be amazed as we delve into the world of Large Language Models (LLMs) – the driving force behind NLP’s remarkable progress. In this comprehensive overview, we will explore the definition, significance, and real-world applications of these game-changing models. What are Large Language Models (LLMs)?

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AWS Machine Learning Blog

APRIL 16, 2025

Out-of-the-box models often lack the specific knowledge required for certain domains or organizational terminologies. To address this, businesses are turning to custom fine-tuned models, also known as domain-specific large language models (LLMs). Leave default settings for VPC , Subnet , and Auto-assign public IP.

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AWS Machine Learning Blog

NOVEMBER 1, 2023

Visual language processing (VLP) is at the forefront of generative AI, driving advancements in multimodal learning that encompasses language intelligence, vision understanding, and processing. The system is further refined with DistilBERT , optimizing our dialogue-guided multi-class classification process.

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Mlearning.ai

JULY 23, 2023

Transformers form the backbone of the revolutionary Large Language Models While LLMs like GPT4 , llama2 & Falcon seem to do an excellent jobs across a variety of tasks, the performance of an LLM on a particular task is a direct result of the underlying architecture.

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AWS Machine Learning Blog

JUNE 12, 2023

It can support a wide variety of use cases, including text classification, token classification, text generation, question and answering, entity extraction, summarization, sentiment analysis, and many more. GPT-J is a transformer model trained using Ben Wang’s Mesh Transformer JAX. 24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge,

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