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Pinterest Researchers Present an Effective Scalable Algorithm to Improve Diffusion Models Using Reinforcement Learning (RL)

by | Feb 12, 2024 | Uncategorized

Diffusion models are a set of generative models that work by adding noise to the training data and then learn to recover the same by reversing the noising process. This process allows these models to achieve state-of-the-art image quality, making them one of the most...

Meet Graph-Mamba: A Novel Graph Model that Leverages State Space Models SSM for Efficient Data-Dependent Context Selection

by | Feb 12, 2024 | Uncategorized

Graph Transformers need help with scalability in graph sequence modeling due to high computational costs, and existing attention sparsification methods fail to adequately address data-dependent contexts. State space models (SSMs) like Mamba are effective and efficient...

‘Weak-to-Strong JailBreaking Attack’: An Efficient AI Method to Attack Aligned LLMs to Produce Harmful Text

by | Feb 12, 2024 | Uncategorized

Well-known Large Language Models (LLMs) like ChatGPT and Llama have recently advanced and shown incredible performance in a number of Artificial Intelligence (AI) applications. Though these models have demonstrated capabilities in tasks like content generation,...

Advancing Vision-Language Models: A Survey by Huawei Technologies Researchers in Overcoming Hallucination Challenges

by | Feb 12, 2024 | Uncategorized

The emergence of Large Vision-Language Models (LVLMs) characterizes the intersection of visual perception and language processing. These models, which interpret visual data and generate corresponding textual descriptions, represent a significant leap towards enabling...

This AI Paper from Apple Unpacks the Trade-Offs in Language Model Training: Finding the Sweet Spot Between Pretraining, Specialization, and Inference Budgets

by | Feb 12, 2024 | Uncategorized

There’s been a significant shift towards creating powerful and pragmatically deployable models in varied contexts. This narrative centers on the intricate balance between developing expansive language models imbued with the capacity for deep understanding and...

This AI Paper Introduces StepCoder: A Novel Reinforcement Learning Framework for Code Generation

by | Feb 11, 2024 | Uncategorized

Large language models (LLMs) are advancing the automation of computer code generation in artificial intelligence. These sophisticated models, trained on extensive datasets of programming languages, have shown remarkable proficiency in crafting code snippets from...

Pinterest Researchers Present an Effective Scalable Algorithm to Improve Diffusion Models Using Reinforcement Learning (RL)

Meet Graph-Mamba: A Novel Graph Model that Leverages State Space Models SSM for Efficient Data-Dependent Context Selection

‘Weak-to-Strong JailBreaking Attack’: An Efficient AI Method to Attack Aligned LLMs to Produce Harmful Text

Advancing Vision-Language Models: A Survey by Huawei Technologies Researchers in Overcoming Hallucination Challenges

This AI Paper from Apple Unpacks the Trade-Offs in Language Model Training: Finding the Sweet Spot Between Pretraining, Specialization, and Inference Budgets

This AI Paper Introduces StepCoder: A Novel Reinforcement Learning Framework for Code Generation

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