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By integrating the subtle language processing capabilities of models like ChatGPT with the versatile and widely-used Scikit-learn framework, Scikit-LLM offers an unmatched arsenal for delving into the complexities of textual data.Scikit-LLM, accessible on its...

As we experience the world, our senses (vision, sounds, smells) provide a various array of data, and we express ourselves using different communication methods, similar to facial expressions and gestures. These senses and communication...

12 min read·16 hours agoThe recent exponential advances in natural language processing capabilities from large language models (LLMs) have stirred tremendous excitement about their potential to realize human-level intelligence. Their ability to provide remarkably...

Math behind this parameter efficient finetuning methodNice-tuning large pre-trained models is computationally difficult, often involving adjustment of thousands and thousands of parameters. This traditional fine-tuning approach, while effective, demands substantial computational resources and time,...

FunSearch (so called since it searches for mathematical functions, not since it’s fun) continues a streak of discoveries in fundamental math and computer science that DeepMind has made using AI. First AlphaTensor found...

Within the ever-evolving domain of Artificial Intelligence (AI), where models like GPT-3 have been dominant for a very long time, a silent but groundbreaking shift is happening. Small Language Models (SLM) are emerging and...

Generative AI has been a driving force within the AI community for a while now, and the advancements made in the sphere of generative image modeling especially with the usage of diffusion models have...

Large Language Models (LLMs) have carved a singular area of interest, offering unparalleled capabilities in understanding and generating human-like text. The facility of LLMs might be traced back to their enormous size, often having...