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Artificial Intelligence
Enhanced Large Language Models as Reasoning Engines
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...
Artificial Intelligence
Understanding LoRA — Low Rank Adaptation For Finetuning Large Models
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,...
Artificial Intelligence
Google DeepMind used a big language model to solve an unsolvable math problem
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...
Artificial Intelligence
Small But Mighty: Small Language Models Breakthroughs within the Era of Dominant Large Language Models
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...
Artificial Intelligence
Stable Video Diffusion: Latent Video Diffusion Models to Large Datasets
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...
Artificial Intelligence
LoRa, QLoRA and QA-LoRA: Efficient Adaptability in Large Language Models Through Low-Rank Matrix Factorization
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...
Artificial Intelligence
Bridging Large Language Models and Business: LLMops
The underpinnings of LLMs like OpenAI's GPT-3 or its successor GPT-4 lie in deep learning, a subset of AI, which leverages neural networks with three or more layers. These models are trained on vast...
Artificial Intelligence
Large Language Models: DistilBERT — Smaller, Faster, Cheaper and Lighter
Unlocking the secrets of BERT compression: a student-teacher framework for max efficiencyIn recent times, the evolution of huge language models has skyrocketed. BERT became some of the popular and efficient models allowing to resolve...
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