Partnership with Axel Springer to deepen beneficial use of AI in journalism
Axel Springer is the first publishing house globally to partner with us on a deeper integration of journalism in AI technologies.
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Nomic AI Introduces Nomic Embed: Text Embedding Model with an 8192 Context-Length that Outperforms OpenAI Ada-002 and Text-Embedding-3-Small on both Short and Long Context Tasks
Nomic AI released an embedding model with a multi-stage training pipeline, Nomic Embed, an open-source, auditable, and high-performing text embedding model. It also has an extended context length supporting tasks such as retrieval-augmented-generation (RAG) and semantic search. The existing popular models, including OpenAI’s text-embedding-ada-002, lack openness and auditability. The model addresses the challenge of developing…
AI News Weekly – Issue #395: Top 5 AI tool directories: Discover and showcase AI innovations – Jul 25th 2024
Powered by growthschool.io In the News Top 5 AI tool directories: Discover and showcase AI innovations The article highlights the top five AI tool directories that help users discover, review, and showcase AI tools. It emphasizes the unique features of each platform, making them essential for staying current in AI technology. artificialintelligence-news.com Sponsor 200+ hours…
AI News Weekly – Issue #387: 10 Best AI PDF Summarizers – May 30th 2024
Powered by rws.com In the News 10 Best AI PDF Summarizers In the era of information overload, efficiently processing and summarizing lengthy PDF documents has become crucial for professionals across various fields. unite.ai Sponsor When Generative AI Gets It Wrong, TrainAI Helps Make It Right TrainAI provides prompt engineering, response refinement and red teaming with…
This AI Paper Proposes COPlanner: A Machine Learning-based Plug-and-Play Framework that can be Applied to any Dyna-Style Model-based Methods
One of the critical challenges in model-based reinforcement learning (MBRL) is managing imperfect dynamics models. This limitation of MBRL becomes particularly evident in complex environments, where the ability to forecast accurate models is crucial yet difficult, often leading to suboptimal policy learning. The challenge is achieving accurate predictions and ensuring these models can adapt and…
Google AI Presents Lumiere: A Space-Time Diffusion Model for Video Generation
Recent advancements in generative models for text-to-image (T2I) tasks have led to impressive results in producing high-resolution, realistic images from textual prompts. However, extending this capability to text-to-video (T2V) models poses challenges due to the complexities introduced by motion. Current T2V models face limitations in video duration, visual quality, and realistic motion generation, primarily due…
This AI Paper from UNC-Chapel Hill Proposes ReGAL: A Gradient-Free Method for Learning a Library of Reusable Functions via Code Refactorization
Optimizing code through abstraction in software development is not just a practice but a necessity. It leads to streamlined processes, where reusable components simplify tasks, increase code readability, and foster reuse. The development of generalizable abstractions, especially in automated program synthesis, stands at the forefront of current research endeavors. Traditionally, Large Language Models (LLMs) have…
