Artificial Intelligence
Language models are crucial in natural language processing, trending towards larger, intricate models to process human-like text. A challenge is balancing computational demand and performance. The introduction of TinyLlama, a compact language model with 1.1 billion parameters, addresses this by efficiently using resources while maintaining high performance. It sets a new precedent for inclusive NLP…
Stanford University researchers unveiled Mobile ALOHA, a low-cost, bimanual mobile robot capable of performing household tasks. The robot, an improved version of static ALOHA, uses an imitation learning process and Action Chunk with Transformers algorithm to learn new skills. Mobile ALOHA is affordable, open-source, and run by off-the-shelf hardware, making it a promising advancement in…
The article emphasizes the challenges and benefits of adopting generative AI in enterprises. It warns about the inaccuracies and potential risks associated with large language models (LLMs) due to hallucinations, but also highlights the necessity and transformative potential of leveraging generative AI for productivity and strategic advantage. The recommendations include prioritizing data foundation, building an…
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, TIES, DARE, and Passthrough, and details the steps for implementing each method. The tutorial also explains how to use…
The author highlights key aspects of Applied Machine Learning often overlooked in formal Data Science education. These include thoughtful target selection, dealing with imbalanced data, using real-life testing, meaningful performance metrics, and reconsidering the importance of scores. The insights are aimed at helping junior and mid-level data scientists enhance their career. [50 words]
Researchers used neural networks to analyze satellite and radar images and found that a large portion of the world’s fishing and energy vessels operate as “dark vessels,” not publicly sharing their location. They developed deep learning models to classify vessels and offshore structures, revealing insights into global maritime activities and concerns about illegal fishing.
Journalists Nicholas Gage and Nicholas Basbanes have filed a copyright lawsuit against OpenAI and Microsoft, claiming their literary works were used without authorization to train ChatGPT. The lawsuit follows a similar case by The New York Times. It alleges that OpenAI used pirated e-book datasets and that its ChatGPT-4 model reproduced copyrighted text. This aligns…
The World Conference on Data Science & Statistics 2024, taking place from June 17th to 19th in Amsterdam, is a diverse event uniting industry leaders, academics, and innovators in data science, AI, and related technologies. With 60+ sessions covering key topics like AI’s impact on data science and public policy, the conference promises valuable insights…
AI hallucinations, seen in generative AI like ChatGPT and Google Bard, occur when large language models deviate from accurate information due to flawed training data or generation methods. The consequences include misinformation, bias amplification, and privacy issues. However, with responsible development, AI hallucinations can offer benefits like creative potential, improved data interpretation, and enhanced digital…
Recent advancements in text-to-3D generation, led by diffusion models, have spurred interest in automating 3D asset creation for virtual reality, movies, and gaming. Challenges in 3D synthesis are being addressed through the development of SteinDreamer, which integrates Stein Score Distillation to improve visual quality and convergence speed. This breakthrough represents a significant advancement in text-to-3D…
Perplexity AI, a revolutionary search engine, raised $73.6 million in funding, increasing its valuation to $520 million. The investment, led by IVP and involving influential tech leaders like Jeff Bezos, signifies strong endorsement. With an innovative approach and legal challenges surrounding AI models, Perplexity aims to transform online search behavior and expand its impact.
Advancements in text-to-video (T2V) synthesis using Stable Diffusion (SD) models have enabled automatic video generation from text prompts. Researchers at NVIDIA and Victoria University of Wellington introduced an interface allowing users to control object trajectories through bounding boxes and text prompts, facilitating seamless integration of subjects into videos. The method emphasizes computational efficiency and user…
GPT4Free, an AI package, provides unauthorized access to advanced models like GPT-4, raising ethical and legal concerns. It reverse engineers API platforms, offering wider access but operating in a legally dubious space. Its significant GitHub presence reflects widespread interest, but the ethical dilemmas of accessing AI models outweigh its benefits.
Salesforce Research has proposed MoonShot, a breakthrough AI model for video generation. It addresses the limitations of existing techniques by allowing conditioning on both text and image inputs, leading to improved accuracy and performance. MoonShot’s Multimodal Video Block, cross-attention layers, and spatial-temporal U-Net layers make it a versatile and powerful model, setting new industry standards.
A novel methodology called Q-ALIGN, developed by researchers from Nanyang Technological University, Shanghai Jiao Tong University, and SenseTime Research, marks a paradigm shift in visual content assessment. It uses text-defined rating levels to train Large Multi-Modality Models, achieving state-of-the-art performance in assessing image and video quality, aesthetic, and alignments with human judgment.
Fusilli, a Python library, simplifies multimodal data fusion for predicting health outcomes using MRI scans and clinical data. It offers fusion methods for tabular and image data, enabling easy model comparison and predictive tasks. While not exhaustive, Fusilli supports various fusion scenarios, making it a valuable tool for efficient exploration and utilization of diverse data…
Recent research explores the limitations of Language Model Models (LLMs) in non-English languages due to their pretraining on English-dominant data. It focuses on transferring language generation capabilities and instruction-following to non-English languages using LLaMA, revealing that vocabulary extension is unnecessary and effective transfer can be achieved with minimal pretraining data.
Recent research showcases the success of Large Language Models (LLMs) in diverse software engineering tasks, including code completion, task-specific fine-tuning, and adhering to human instructions. Monash University and ServiceNow Research introduce ASTRAIOS, a collection of 28 instruction-tuned Code LLMs, evaluating their performance in various code-related tasks and highlighting the impact of model size on task…
AI tools have become essential for Amazon sellers to improve efficiency and optimize product listings. The top AI tools for Amazon sellers include Evolup, Voc AI, Sellesta AI, AI Listing Architect, Perci, Bezly, ProductListing.AI, and SoStocked. These tools offer a range of features such as AI-driven site creation, advanced keyword research, and inventory management. Each…
The text provided discusses the topic of Retrieval Augmented Generation (RAG) and its application in question answering using Large Language Models (LLMs). It covers various aspects such as chunking text, querying, context building, re-ranking, evaluation, and addressing hallucinations in generated text. The author also highlights the relevance of RAG in the context of advanced NLP…