​ Large Language Models (LLMs) have shown great capabilities in various natural language tasks such as text summarization, question answering, generating code, etc., emerging as a powerful solution to many real-world problems. One area where these models struggle, though, is goal-directed conversations where they have… Read More »UC Berkeley Researchers Propose an Artificial Intelligence Algorithm that Achieves Zero-Shot Acquisition of Goal-Directed Dialogue Agents Arham Islam Artificial Intelligence Category – MarkTechPost

​ As AI continues to grow and impact all aspects of our lives, research is being conducted to make it more useful and convenient. Today, AI is finding its utility in all dimensions of daily life. Extensive research has been conducted in varied fields. Consequently,… Read More »Meet Tarsier: An Open Source Python Library to Enable Web Interaction with Multi-Modal LLMs like GPT4 Rachit Ranjan Artificial Intelligence Category – MarkTechPost

​ The most diversified marine environment on Earth is said to be found in coral reefs. Over 4,000 kinds of fish may be found in the coral reefs, home to an estimated 25% of all marine life. In coral, underwater parasite algae, or zooxanthellae, produces… Read More »Chosun University Researchers Introduce a Machine Learning Framework for Precise Localization of Bleached Corals Using Bag-of-Hybrid Visual Feature Classification Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Latent Diffusion Models are generative models used in machine learning, particularly in probabilistic modeling. These models aim to capture a dataset’s underlying structure or latent variables, often focusing on generating realistic samples or making predictions. These describe the evolution of a system over time.… Read More »This AI Paper Introduces LCM-LoRA: Revolutionizing Text-to-Image Generative Tasks with Advanced Latent Consistency Models and LoRA Distillation Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​ In cybersecurity, organizations face the challenge of efficiently managing security intelligence and automation. One prevalent issue is the need for effective machine learning models to enhance security measures. Traditionally, security teams were limited to predefined models, making it challenging to adapt to evolving threats.… Read More »Palo Alto Networks Introduce the Cortex XSIAM 2.0 Platform: Featuring a Unique Bring-Your-Own-Machine-Learning (BYOML) Framework Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Researchers from Vanderbilt University and the University of California, Davis, introduced PRANC, a framework demonstrating the reparameterization of a deep model as a linear combination of randomly initialized and frozen deep models in the weight space. During training, local minima within the subspace spanned… Read More »Researchers from Vanderbilt University and UC Davis Introduce PRANC: A Deep Learning Framework that is Memory-Efficient during both the Learning and Reconstruction Phases Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ Supervised Fine-tuning (SFT), Reward Modeling (RM), and Proximal Policy Optimization (PPO) are all part of TRL. In this full-stack library, researchers give tools to train transformer language models and stable diffusion models with Reinforcement Learning. The library is an extension of Hugging Face’s transformers… Read More »HuggingFace Introduces TextEnvironments: An Orchestrator between a Machine Learning Model and A Set of Tools (Python Functions) that the Model can Call to Solve Specific Tasks Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ A team of researchers from Peking University, UCLA, the Beijing University of Posts and Telecommunications, and the Beijing Institute for General Artificial Intelligence introduces JARVIS-1, a multimodal agent designed for open-world tasks in Minecraft. Leveraging pre-trained multimodal language models, JARVIS-1 interprets visual observations and… Read More »Meet JARVIS-1: Open-World Multi-Task Agents with Memory-Augmented Multimodal Language Models Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ To specialize in pre-trained large language models (LLMs) for domain-specific tasks with minimum training data, low-rank adaptation, or LoRA, is gaining popularity. Tenants may train various LoRA models at a minimal cost since LoRA greatly reduces the number of trainable parameters by keeping the… Read More »Researchers from the University of Washington and Duke University Introduce Punica: An Artificial Intelligence System to Serve Multiple LoRA Models in a Shared GPU Cluster Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Researchers from Shanghai Jiao Tong University and China University of Mining and Technology have developed TransLO. This LiDAR odometry network integrates a window-based masked point transformer with self-attention and masked cross-frame attention. Effectively handling sparse point clouds, TransLO employs a binary mask to eliminate… Read More »Researchers from SJTU China Introduce TransLO: A Window-Based Masked Point Transformer Framework for Large-Scale LiDAR Odometry Sana Hassan Artificial Intelligence Category – MarkTechPost