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CMU Researchers Introduce ReLM: An AI System For Validating And Querying LLMs Using Standard Regular Expressions

Marktechpost

There are rising worries about the potential negative impacts of large language models (LLMs), such as data memorization, bias, and unsuitable language, despite LLMs’ widespread praise for their capacity to generate natural-sounding text.

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PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU

Unite.AI

Due to their exceptional content creation capabilities, Generative Large Language Models are now at the forefront of the AI revolution, with ongoing efforts to enhance their generative abilities. However, despite rapid advancements, these models require substantial computational power and resources. Let's begin.

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ODSC’s AI Weekly Recap: Week of March 8th

ODSC - Open Data Science

Gemma is a family of lightweight, state-of-the-art open models built from research and technology used to create Google Gemini models. They are text-to-text, decoder-only large language models, available in English, with open weights, pre-trained variants, and instruction-tuned variants.

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No More Paid Endpoints: How to Create Your Own Free Text Generation Endpoints with Ease

Mlearning.ai

Source: Photo by Emiliano Vittoriosi on Unsplash Large language models (LLMs) are gaining popularity because of their capacity to produce text, translate between languages and produce various forms of creative content. Furthermore, these providers lack free tiers that can handle large language models (LLMs).

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Deployment of PyTorch Model Using NCNN for Mobile Devices?—?Part 2

Mlearning.ai

Introduction As more and more deep neural networks, like CNNs, Transformers, and Large Language Models (LLMs), generative models, etc., Conclusions In this post, I discussed how to integrate the C++ code with the NCNN inference engine into Android for model deployment on the mobile phone.

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Start Up Your Engines: NVIDIA and Google Cloud Collaborate to Accelerate AI Development

NVIDIA

Teams from the companies worked closely together to accelerate the performance of Gemma — built from the same research and technology used to create Google DeepMind’s most capable model yet, Gemini — with NVIDIA TensorRT-LLM , an open-source library for optimizing large language model inference, when running on NVIDIA GPUs.

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Implementing Small Language Models (SLMs) with RAG on Embedded Devices Leading to Cost Reduction, Data Privacy, and Offline Use

deepsense.ai

What are Small Language Models? Inherently, Small Language Models (SLMs) are smaller counterparts of Large Language Models. They have fewer parameters and are more lightweight and faster in inference time. Methods and Tools Let’s start with the inference engine for the Small Language Model.