Categories: AI/ML News

Specialized models: How AI is following the path of hardware evolution

The future of LLMs will be in deploying simpler models for the majority of AI tasks, reserving larger models for more complex duties.Read More

Optimize price-performance of LLM inference on NVIDIA GPUs using the Amazon SageMaker integration with NVIDIA NIM Microservices

NVIDIA NIM microservices now integrate with Amazon SageMaker, allowing you to deploy industry-leading large language models (LLMs) and optimize model performance and cost. You can deploy state-of-the-art LLMs in minutes instead of days using technologies such as NVIDIA TensorRT, NVIDIA TensorRT-LLM, and NVIDIA Triton Inference Server on NVIDIA accelerated instances…

March 19, 2024

In "FAANG"

Impel enhances automotive dealership customer experience with fine-tuned LLMs on Amazon SageMaker

June 5, 2025

In "FAANG"

5 Problems Encountered Fine-Tuning LLMs with Solutions

Fine-tuning remains a cornerstone technique for adapting general-purpose pre-trained large language models (LLMs) models (also called foundation models) to serve more specialized, high-value downstream tasks, even as zero- and few-shot methods gain traction.

May 1, 2025

In "AI/ML Research"

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