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A prompt-based experiment to enhance each accuracy and transparent reasoning in content personalization.As a second evaluation metric, we use Spearman correlation. At 0.41, it represents a considerable improvement over our embedding-based approach (0.17). This...

Artificial intelligence (AI) has come a great distance, with large language models (LLMs) demonstrating impressive capabilities in natural language processing. These models have modified the way in which we take into consideration AI’s ability...

When OpenAI tested DALL-E 3 last 12 months, it used an automatic process to cover much more variations of what users might ask for. It used GPT-4 to generate requests producing images that...

Spreadsheets have been a core tool for data organization, financial modeling, and operational planning in businesses across industries. Initially designed for basic calculations and straightforward data management, their functionality has expanded as the necessity...

Universal Music Group (UMG), which sued music creation artificial intelligence (AI) startups reminiscent of Suno and Udio, announced that it should begin developing a large-scale language model itself. Although they emphasized 'ethical use of...

After the rise of generative AI, artificial intelligence is on the point of one other significant transformation with the arrival of agentic AI. This variation is driven by the evolution of Large Language Models...

On October 17, 2024, Microsoft announced BitNet.cpp, an inference framework designed to run 1-bit quantized Large Language Models (LLMs). BitNet.cpp is a big progress in Gen AI, enabling the deployment of 1-bit LLMs efficiently...

LLMs are sometimes said to have ‘emergent properties’. But what can we even mean by that, and what evidence do we've got?12 min read·Jul 15, 2024One among the often-repeated claims about Large Language Models...