This AI Paper Presents A Comprehensive Study of Knowledge Editing for Large Language Models
Recently, GPT-4 and other Large Language Models (LLMs) have demonstrated an impressive capacity for Natural Language Processing (NLP) to memorize extensive amounts of information, possibly even more so than humans.…
ByteDance Introduces the Diffusion Model with Perceptual Loss: A Breakthrough in Realistic AI-Generated Imagery
Diffusion models are a significant component in generative models, particularly for image generation, and these models are undergoing transformative advancements. These models, functioning by transforming noise into structured data, especially…
Meet Fusilli: A Python Library for Multi-Modal Data Fusion in Machine Learning
In today’s data-driven world, handling diverse data types like images, tables, or text has become a norm. However, combining these varied data sets to extract meaningful insights often poses a…
Can We Transfer the Capabilities of LLMs like LLaMA from English to Non-English Languages? A Deep Dive into Multilingual Model Proficiency
Significant achievements have been made in LLMs, exemplified by ChatGPT, excelling in complex language processing tasks. But most mainstream LLMs like LLaMA are pre-trained on English-dominant corpus. Another example is…
Meet Astraios: An AI Model Suite Consisting of 28 Instruction-Tuned OctoCoder Across Scales and PEFT Methods
Recent research highlights the success of Large Language Models (LLMs) trained on Code, excelling at diverse software engineering tasks. These models fall into three primary paradigms: (i) Code LLMs specialized…
Meet Eff-3DPSeg: A Deep Learning Framework for 3D Organ-Level Plant Shoot Segmentation
Deep learning is being used in various fields now. It is being used in plants for various purposes, too. 3D plant shoot segmentation has significantly progressed by integrating deep learning…
This AI Paper Explores How Code Integration Elevates Large Language Models to Intelligent Agents
The field of Artificial Intelligence (AI) is set for a revolutionary change in the coming years. In a recent research paper, a team of researchers from the University of Illinois…
Perplexity AI Raises $74M To Take Valuation to $520M
Google and a few others have been dominant in the search engine space for years, but with the recent advancement of GenAI technology, the competitive landscape is set to be…
This AI Paper from UCLA Introduces ‘SPIN’ (Self-Play fIne-tuNing): A Machine Learning Method to Convert a Weak LLM to a Strong LLM by Unleashing the Full Power of Human-Annotated Data
Large Language Models (LLMs) have ushered a new era in the field of Artificial Intelligence (AI) through their exceptional natural language processing capabilities. From mathematical reasoning to code generation and…
Can We Align LLMs to Honesty via Instruction Fine-Tuning? Addressing Hallucination in Large Language Models with Refusal-Aware Instruction Tuning
Researchers from the Hong Kong University of Science and Technology and the University of Illinois Urbana-Champaign have collaborated to address a challenge faced by large language models (LLMs) known as…