MLC LLM: Universal LLM Deployment Engine with Machine Learning ML Compilation

Understanding Scaling Laws in Diffusion Transformers Large language models (LLMs) show a clear relationship between performance and the resources used during training. This helps optimize how we allocate our computing power. Unfortunately, diffusion models, especially diffusion…

Advancements in Reinforcement Learning for Large Language Models Advancements in Reinforcement Learning for Large Language Models Introduction to Reinforcement Learning in LLMs Recent developments in artificial intelligence have highlighted the potential of reinforcement learning (RL) techniques…

Researchers from UC Berkeley and UCSF have introduced a new approach called LLM-grounded Video Diffusion (LVD) to address the challenges in generating videos from text prompts. LVD utilizes Large Language Models (LLMs) to create dynamic scene…

Meet Parley: An AI-Powered Startup Helping Immigration Lawyers Write Visa Applications Using AI The United States’ immigration system is known for its complexity and challenges. Parley, an AI platform, offers practical solutions to streamline the immigration…

SciPhi Open Sourced Triplex: A SOTA LLM for Knowledge Graph Construction Provides Data Structuring with Cost-Effective and Efficient Solutions Introduction Recent release of Triplex, a cutting-edge language model designed for knowledge graph construction, promises to revolutionize…

Understanding Generalization in Deep Learning: Practical Business Solutions Deep neural networks exhibit behaviors such as benign overfitting, double descent, and successful overparametrization. These phenomena can be explained through established frameworks and are not exclusive to neural…

Google AR & VR and University of Central Florida collaborated on a study to validate VALID, a virtual avatar library comprising 210 fully rigged avatars representing seven races. The study, which involved a global participant pool,…

The Challenge of Evaluating Language Models This paper addresses the challenge of effectively evaluating language models (LMs). Evaluation is crucial for assessing model capabilities, tracking scientific progress, and informing model selection. Traditional benchmarks often fail to…

Practical Solutions and Value Reinforcement Learning from Human Feedback (RLHF) Challenges RLHF encourages high rewards but faces issues like limited fine-tuning, imperfect reward models, and reduced output variety. Model Merging and Weight Averaging (WA) Weight averaging…

Machine learning has had a significant impact on various fields, but constructing a customized ML-based data analysis pipeline remains challenging. This article focuses on supervised learning and highlights the importance of addressing issues like data leakage…

FreeNoise is a new paradigm that improves pretrained video diffusion models for generating longer videos conditioned on multiple texts. It utilizes noise rescheduling and temporal attention techniques to enhance content consistency and computational efficiency. The approach…

Introduction Large Language Models (LLMs) have made significant strides in reasoning and precision, particularly through the use of reinforcement learning (RL) and test-time scaling techniques. While these models have outperformed traditional unit test generation methods, many…

The text discusses different methods of merging large language models using mergekit and how to use them to create new combined models without requiring a GPU. It provides examples of configurations for four merging methods: SLERP,…

Large language models are proving to be valuable across various fields like health, finance, and entertainment due to their training on vast amounts of data. Eagle 7B, a new ML model with 7.52 billion parameters, represents…

Enhancing Cross-Cultural Image Captioning with MosAIC Large Multimodal Models (LMMs) are great at various vision-language tasks, but they struggle with cross-cultural understanding. This is primarily due to biases in their training data, which hampers their ability…

Runway’s Gen-2 is a groundbreaking video editing tool that simplifies the video generation process. It introduces the Motion Brush function, which allows users to manipulate the movement of generated content using simple hand gestures. This eliminates…

AI Solutions for Video Generation by LLMs Practical Solutions and Value: Video Generation by LLMs is a growing field with potential for long videos. Loong is an auto-regressive LLM-based video generator that can create minute-long videos.…

Understanding Natural Language Processing (NLP) NLP is about creating computer models that can understand and generate human language. Recent advancements in transformer-based models have led to powerful large language models (LLMs) that excel in English tasks,…