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New Stable Cascade model by Stability AI aims to enhance AI-driven art

Stable Cascade is the new model designed by Stability AI to transform the landscape of AI-driven image generation. ....

Maxwell Nelson , Emad Mostaque , Stable Diffusion , Stable Cascade , Preference Optimization ,

2023: The Year of AI

Explore the significant AI advancements, impactful partnerships, and legal debates that defined 2023. ....

United States , United Kingdom , Mira Murati , Daria Kuznetsova , Sam Altman , Us Copyright Office , Wells Fargo Co , Jp Morgan , Goldman Sachs , European Union , Deutsche Bank , European Commission , Us Copyright Office Stance On Registration , Apple Vision Pro , Artificial General Intelligence , Generative Fill , Adobe Firefly , Text Effect , Text To Image Algorithms , Stable Video Diffusion , Pixel Codec Avatars , Anything Model , Preference Optimization , Direct Distillation , Stable Vicuna , Getty Images ,

GitHub - mlabonne/llm-course: Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks. - GitHub - mlabonne/llm-course: Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks. ....

Romano Roth , Andrej Karpathy , Rachael Tatman , Thomas Thelen , Jay Alammar , Lilian Weng , Google Colab , Fastest Library To , Neural Networks , Recurrent Neural Networks Rnns , A Survey On Evaluation , Large Language Model , Fastest Library , Large Language , Science Libraries , Learning Libraries , Mean Squared Error , Gradient Descent , Stochastic Gradient Descent , Multilayer Perceptron , Language Processing , Extraction Techniques , Term Frequency Inverse Document , Illustrated Transformer , Performance Computing , Policy Optimization ,

LLM Training: RLHF and Its Alternatives

I frequently reference a process called Reinforcement Learning with Human Feedback (RLHF) when discussing LLMs, whether in the research news or tutorials. RLHF is an integral part of the modern LLM training pipeline due to its ability to incorporate human preferences into the optimization landscape, which can improve the model's helpfulness and safety. ....

Reinforcement Learning , Human Feedback , Understanding Encoder And Decoder , Deep Learning Fundamentals , Asynchronous Methods , Deep Reinforcement Learning , Proximal Policy Optimization Algorithms , Fine Tuning Language Models , Human Preferences , Open Foundation , Fine Tuned Chat Models , Cold War , Soviet Union , Language Models Better Instruction Followers , Hindsight Instruction Labeling , Direct Preference Optimization , Language Model , Reward Model , Preference Optimization , Reinforced Self Training , Language Modeling , Scaling Reinforcement Learning , Code Llama Scale ,

Bringing LLM Fine-Tuning and RLHF to Everyone

Open-source tool for data-centric NLP ....

City Of , United Kingdom , North Sea , Oceans General , Glasgow City , Argilla Datasets , Archibald Archie Simpson , Paul Lawrie , Annie Lennox , Oil Gas , Robert Gordon University , Sales Team , Sea Oil , University Of Aberdeen , Argilla Feedback , Large Language Models , Dolly Dataset , Reinforcement Learning , Human Feedback , Demonstration Data , Comparison Data , Chip Huyen , Text Classification , Token Classification , Customer Name , Product Name ,