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…