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xAI has released the weights and architecture of its 314 billion parameter Mixture-of-Experts model, Grok-1. It is written in JAX and uses a modern Transformer architecture with GeGLU, ROPE, sandwich Norm, and other niceties.
OpenAI appears to have accidentally published a blog post that was indexed by Bing and DuckDuckGo before it was quickly taken down. The post was an announcement for GPT-4.5 Turbo, a new model that surpasses GPT-4 Turbo in speed, accuracy, and scalability. The cached description mentions a knowledge cutoff date of June 2024 and a 256k context window. OpenAI has not commented on the leak.
Anthropic's Claude 3 Haiku is its fastest and most cost-effective AI model. It features advanced vision capabilities and excels in benchmarks. Claude 3 Haiku is designed for enterprises, with a focus on speed and affordability.
We can find some interesting trends by looking at GitHub stars for popular AI models. Most open-source AI tooling seems to be focused on infrastructure and applications.
Cappy is a small model trained to take instructions and a candidate completion and return a score for how well the completion fulfills the instructions. It outperforms much larger models at this task, suggesting it may be used as a feedback mechanism for training and generation.
ScoreHMR introduces a novel method for 3D human pose and shape reconstruction by leveraging the power of diffusion models. This approach, which bypasses traditional optimization techniques, uses score guidance to align a human body model with image observations.
Local CLI Copilot powered by CodeLLaMa.
This blog post outlines the tech stack that Lamini uses to train models on AMD GPUs, which includes schedulers, model training tech, and more.
A state-of-the-art image upscaling tool.
Exploring the "speed of light" theoretical limit for transformer-based language model inference, this article highlights the importance of memory bandwidth over computational power, demonstrating that inference speed is primarily constrained by the ability to read data from memory rather than perform calculations, a key factor for optimizing and understanding AI performance.
The author of this article proposes differentiating AI discussions by using terms like "harmful," "helpful," "capable," and "incapable" rather than the vague good/bad spectrum. They personally view AI as capable but potentially harmful due to unresolved issues such as copyright infringement and bias exaggeration. The author invites readers to clarify their own positions on AI using these more specific terms.
This article reflects on the historical pattern of technological innovations impacting jobs, with the rise of AI being the latest example. It compares past shifts, like the advent of writing, printing, and typewriters, to the current AI revolution, pondering whether AI will ultimately enhance or diminish human creativity. The author calls for resistance and adaptation to preserve the uniquely human element in creative endeavors amidst the growing influence of AI-generated content.
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Kit is an open source MLOps project that packages your model, datasets, code, and configuration so data scientists and developers
Music Lang is an API and set of models that generate music.
kapa.ai offers insights on structuring documentation for LLMs, advocating for clear hierarchy, segmentation by sub-products, inclusion of troubleshooting FAQs, self-contained code snippets, and the establishment of community forums.
A dataset of curated Question and Answer pairs transcribed from earnings calls.