Large Language Models (LLMs) are essential in fields that require contextual understanding and decision-making. However, their development and deployment come […]
Category: Applications
CMU Researchers Introduce PAPRIKA: A Fine-Tuning Approach that Enables Language Models to Develop General Decision-Making Capabilities Not Confined to Particular Environment
In today’s rapidly evolving AI landscape, one persistent challenge is equipping language models with robust decision-making abilities that extend beyond […]
AutoAgent: A Fully-Automated and Highly Self-Developing Framework that Enables Users to Create and Deploy LLM Agents through Natural Language Alone
From business processes to scientific studies, AI agents can process huge datasets, streamline processes, and help in decision-making. Yet, even […]
Salesforce AI Proposes ViUniT (Visual Unit Testing): An AI Framework to Improve the Reliability of Visual Programs by Automatically Generating Unit Tests by Leveraging LLMs and Diffusion Models
Visual programming has emerged strongly in computer vision and AI, especially regarding image reasoning. Visual programming enables computers to create […]
Researchers from AMLab and CuspAI Introduced Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems
Deep learning faces difficulties when applied to large physical systems on irregular grids, especially when interactions occur over long distances […]
Microsoft AI Introduces Belief State Transformer (BST): Enhancing Goal-Conditioned Sequence Modeling with Bidirectional Context
Transformer models have transformed language modeling by enabling large-scale text generation with emergent properties. However, they struggle with tasks that […]
Alibaba Researchers Propose START: A Novel Tool-Integrated Long CoT Reasoning LLM that Significantly Enhances Reasoning Capabilities by Leveraging External Tools
Large language models have made significant strides in understanding and generating human-like text. Yet, when it comes to complex reasoning […]
A Coding Guide to Sentiment Analysis of Customer Reviews Using IBM’s Open Source AI Model Granite-3B and Hugging Face Transformers
In this tutorial, we will look into how to easily perform sentiment analysis on text data using IBM’s open-source Granite […]
Q-Filters: A Training-Free AI Method for Efficient KV Cache Compression
Large Language Models (LLMs) have significantly advanced due to the Transformer architecture, with recent models like Gemini-Pro1.5, Claude-3, GPT4, and […]
AMD Releases Instella: A Series of Fully Open-Source State-of-the-Art 3B Parameter Language Model
In today’s rapidly evolving digital landscape, the need for accessible, efficient language models is increasingly evident. Traditional large-scale models have […]