An essay by Arjun Ramani and Zhengdong Wang arguing that transformative AI is hard to achieve, assembling technical, social and economic arguments. It notes that trend growth of GDP per capita in frontier economies has never exceeded three percent per year, and that major technical hurdles remain despite rapid progress in some subfields.
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A GitHub repository from dair-ai containing explanations of key concepts in machine learning. The README lists papers with dates and descriptions, including the Transformer, Elmo, Marian MT, GPT, BERT and Transformer XL.
This is the personal website of entrepreneur and AI strategist Tarry Singh, who has over 30 years of experience building and scaling technology ventures across multiple industries and regions. The site shares his work and insights related to artificial intelligence, deep tech, and business transformation.
ACE-Step 1.5 is an open-source local music generation model released by the ace-step project under an MIT license. The repository states it supports Mac, AMD, Intel and CUDA devices, and describes a hybrid architecture combining a language model planner with a diffusion transformer on consumer hardware.
Aerosolve is a machine learning package built on the JVM. It provides features such as geo-based features, controllable quantization and feature interaction, and a feature transform language that gives developers control over features. General additive models are used. Scala handles feature training, with a lightweight Java API for run time inference.
Amuse AI uses AI to create, edit, transform, or animate video content.
ANEE is an experimental dynamic inference wrapper for pretrained Transformer language models, currently GPT-2. It exposes an energy_budget and performs early exit inside the model's forward pass rather than always running all layers. It adds per-token adaptive computation using a profiler and learned controller to skip redundant layers while keeping the KV-cache aligned.
AVCLabs Video Enhancer AI uses AI to create, edit, transform, or animate video content.
Bloom is a large language model documented within the Hugging Face Transformers library. The official documentation provides implementation resources, configuration classes, model classes, and guidance for integrating BLOOM into artificial intelligence and machine learning workflows, as part of Hugging Face's open-source and open science initiative to advance and democratize AI.
A blog post explaining CLIP, a transformer model from OpenAI that matches text embeddings with image embeddings. It offers high-level prompt engineering tips for generative art and includes over 3500 prompt output examples, along with a section of Colab notebook links.
Transform ideas into fully functional WordPress projects with Telex.
Colah's Blog hosts essays and notes on neural networks and interpretability, including sections on Transformer Circuits, Multimodal Neurons, and general neural network topics such as manifolds, topology, and representations. It also includes rough notes and personal writing.
Colossyan uses AI to create, edit, transform, or animate video content.
Open-source project that uses AI to create, edit, transform, or animate video content.
Fast inference engine for Transformer models in C++.
CurveLab is a toolbox implementing the Fast Discrete Curvelet Transform in Matlab and C++, currently at version 2.1.2. Academics at not-for-profit organizations may download the source code for non-commercial research after registering and signing a license agreement. Commercial use and use by for-profit organizations require a commercial license from the Caltech Office of Technology Transfer, which includes a free trial period.
Cybertron is a package in pure Go built upon spaGO that gives Go developers an interface for using NLP technologies with pre-trained Transformer models from the HuggingFace models repository. It is primarily aimed at running inference, with the possibility of adding fine-tuning in the future, and supports models including BERT, ELECTRA, BART, PEGASUS and MarianMT.
DeepPavlov is an open-source library for deep learning end-to-end dialog systems and chatbots. Version 1.0 is described as an NLP framework built on PyTorch and transformers for modular, configuration-driven development of NLP models, intended for practitioners with limited NLP/ML knowledge. It supports Linux, Windows 10+ through WSL/WSL2, and MacOS Big Sur+ on Python 3.6 to 3.10.
Designarena uses AI to create, edit, transform, or animate video content.
Distill publishes articles about machine learning, including peer-reviewed explanations of neural network topics such as graph neural networks, feature visualization and feature-wise transformations. In a July 2, 2021 editorial, the team announced that after five years Distill would be taking a break.
A deep learning-based translation library between 50 languages, built with transformers.
Early days of AI is a blog post by Elad Gil that discusses the early development of machine learning systems and the AI hype cycle. Gil argues that recent advances like transformers and diffusion models represent a new era, distinct from previous AI. He draws on his experience at Google, Twitter, and as an investor.
Eggnog uses AI to create, edit, transform, or animate video content.
ERNIE is Baidu's blog covering its model releases. Posts describe ERNIE 5.1, a model trained with disaggregated fully-asynchronous reinforcement learning and scaled agentic post-training, and ERNIE 5.0, a 2.4 trillion-parameter unified multimodal model trained from scratch that integrates text, image, video and audio in a single autoregressive framework. ERNIE-Image is a text-to-image generation model built on a single-stream Diffusion Transformer.