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Meta AI researchers have introduced two groundbreaking advancements in the field of generative AI: Emu Video and Emu Edit. Emu Video streamlines the process of text-to-video generation, setting a new standard for high-quality video generation. Emu Edit is a multi-task image editing model that redefines instruction-based image manipulation, offering precise control and adaptability. These innovations […] ➡️➡️➡️

Large Language Models (LLMs) excel in various natural language tasks but struggle with goal-directed conversations. UC Berkeley researchers propose adapting LLMs using reinforcement learning (RL) to improve goal-directed dialogues. They introduce an imagination engine (IE) to generate diverse synthetic data and use an offline RL approach to reduce computational costs. Their method consistently outperforms traditional […] ➡️➡️➡️

Tarsier is an open-source Python library created by Reworkd to facilitate web interaction with multi-modal Language Models (LLMs) like GPT-4. It visually tags interactable elements on web pages, enhancing the capabilities of these models. Tarsier simplifies web interaction for LLMs by visually tagging elements using brackets and unique identifiers. It also offers OCR utilities to […] ➡️➡️➡️

Coral reefs are home to diverse marine life and provide important environmental and economic benefits. However, they are susceptible to bleaching due to rising water temperatures caused by global warming. Bleaching leads to environmental and economic problems, including increased CO2 levels and difficulty for other marine life to form skeletons. Researchers from Chosun University are […] ➡️➡️➡️

Latent Diffusion Models are generative models used in machine learning to capture a dataset’s underlying structure. Researchers at Tsinghua University have introduced LCM-LoRA, a training-free acceleration module that enhances the image generation process. By integrating LCM-LoRA parameters with LoRA parameters, high-fidelity images can be generated efficiently and with minimal sampling steps. This approach revolutionizes text-to-image […] ➡️➡️➡️

Palo Alto Networks has launched the Cortex XSIAM 2.0 platform, which includes a bring-your-own-machine-learning (BYOML) framework. This framework allows security teams to create and implement their machine-learning models tailored to their specific needs, enhancing security measures against evolving threats. The platform also features the XSIAM Command Center for efficient incident response and the MITRE ATT&CK […] ➡️➡️➡️

Researchers from Vanderbilt University and UC Davis have introduced a framework called PRANC, which reparameterizes deep models as a linear combination of randomly initialized and frozen models. PRANC enables significant compression of deep models, addressing challenges in storage and communication. It outperforms existing methods, including traditional codecs and learning-based approaches, in image compression. The study […] ➡️➡️➡️

Large language models (LLMs) have impressive few-shot learning capabilities, but they still struggle with complex reasoning in chaotic contexts. This article proposes a technique that combines Thread-of-Thought (ToT) prompting with a Retrieval Augmented Generation (RAG) framework to enhance LLMs’ understanding and problem-solving abilities. The RAG system accesses multiple knowledge graphs in parallel, improving efficiency and […] ➡️➡️➡️

This article provides a beginner’s guide to writing AI agents for games. It can help you get started and create game-winning agents. ➡️➡️➡️

This text discusses a customized copilot used to streamline research and development for a type of artificial neural network known as PINN. The copilot assists in improving efficiency and productivity in the development process. ➡️➡️➡️

Researchers from Duke and Johns Hopkins Universities have developed an approach called SneakyPrompt that bypasses safety filters in generative AI models like Stable Diffusion and DALL-E to generate explicit or violent images. By replacing banned words with semantically similar ones, the researchers were able to trick the models into generating the desired images. To prevent […] ➡️➡️➡️

The text discusses whether AI-powered Business Intelligence is a hype or a reality. More information can be found on Towards Data Science. ➡️➡️➡️

Leverage ChatGPT and generative AI to achieve the same results in 2023 as described in the article on Towards Data Science. ➡️➡️➡️

OpenAI has removed Sam Altman as its CEO due to communication transparency issues. Mira Murati, the former CTO, will serve as interim CEO. Greg Brockman, the president and co-founder, has also resigned. OpenAI’s success with ChatGPT and its partnership with Microsoft remain important as it navigates this transition and negotiates a new funding round. ➡️➡️➡️

OpenAI co-founder Greg Brockman has resigned as company president following the departure of CEO Sam Altman. In a statement, Brockman expressed pride in OpenAI’s achievements since its start eight years ago. The company has named Mira Murati as the interim replacement for Altman, and this move raises questions about OpenAI’s future direction in the AI […] ➡️➡️➡️

This text discusses how to improve the learning and training process of neural networks by tuning hyperparameters. It covers computational improvements, such as parallel processing, and examines hyperparameters like the number of hidden layers, number of neurons, learning rate, batch size, and activation functions. The text also provides a Python example using PyTorch and references […] ➡️➡️➡️

TRL (Training with Reward Learning) is a full-stack library that enables researchers to train transformer language models and stable diffusion models using reinforcement learning. It includes tools such as Supervised Fine-tuning (SFT), Reward Modeling (RM), and Proximal Policy Optimization (PPO). TRL is an extension of Hugging Face’s transformers collection and supports various language models. It […] ➡️➡️➡️

This article discusses the development of a GPT-based virtual assistant for Enefit, an energy company in the Baltics. It highlights the importance of data/information governance in ensuring accurate responses from the virtual assistant. It also emphasizes the need for guidance and training to customize the behavior and style of the assistant. The article concludes that […] ➡️➡️➡️

Researchers from Peking University, UCLA, Beijing University of Posts and Telecommunications, and Beijing Institute for General Artificial Intelligence have developed JARVIS-1, a multimodal agent for open-world tasks in Minecraft. JARVIS-1 combines pre-trained multimodal language models to interpret visual observations and human instructions, generating plans for control. It achieves nearly perfect performance in over 200 tasks […] ➡️➡️➡️

Researchers from the University of Washington and Duke University have developed Punica, a multi-tenant serving framework for LoRA models on a shared GPU cluster. By utilizing a new CUDA kernel called SGMV, Punica enables efficient batching of requests from multiple LoRA models, resulting in improved GPU usage and throughput. The paper details the contributions and […] ➡️➡️➡️