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​[[{“value”:” From business processes to scientific studies, AI agents can process huge datasets, streamline processes, and help in decision-making. Yet, even with all these developments, building and tailoring LLM agents is still a daunting task for most users. The main reason is that AI agent… Read More »AutoAgent: A Fully-Automated and Highly Self-Developing Framework that Enables Users to Create and Deploy LLM Agents through Natural Language Alone Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Visual programming has emerged strongly in computer vision and AI, especially regarding image reasoning. Visual programming enables computers to create executable code that interacts with visual content to offer correct responses. These systems form the backbone of object detection, image captioning, and VQA applications.… Read More »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 Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” This post is co-authored with Sundeep Sardana, Malolan Raman, Joseph Lam, Maitri Shah and Vaibhav Singh from Verisk. Verisk (Nasdaq: VRSK) is a leading strategic data analytics and technology partner to the global insurance industry, empowering clients to strengthen operating efficiency, improve underwriting and… Read More »Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion Sundeep Sardana, Malolan Raman, Joseph Lam, Maitri Shah, Vaibhav Singh AWS Machine Learning Blog

​[[{“value”:” Deep learning faces difficulties when applied to large physical systems on irregular grids, especially when interactions occur over long distances or at multiple scales. Handling these complexities becomes harder as the number of nodes increases. Several techniques have difficulty tackling these big problems, resulting… Read More »Researchers from AMLab and CuspAI Introduced Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Transformer models have transformed language modeling by enabling large-scale text generation with emergent properties. However, they struggle with tasks that require extensive planning. Researchers have explored modifications in architecture, objectives, and algorithms to improve their ability to achieve goals. Some approaches move beyond traditional… Read More »Microsoft AI Introduces Belief State Transformer (BST): Enhancing Goal-Conditioned Sequence Modeling with Bidirectional Context Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Today, Amazon Web Services (AWS) announced the general availability of Amazon Bedrock Knowledge Bases GraphRAG (GraphRAG), a capability in Amazon Bedrock Knowledge Bases that enhances Retrieval-Augmented Generation (RAG) with graph data in Amazon Neptune Analytics. This capability enhances responses from generative AI applications by… Read More »Announcing general availability of Amazon Bedrock Knowledge Bases GraphRAG with Amazon Neptune Analytics Denise Gosnell AWS Machine Learning Blog

​[[{“value”:” Large language models have made significant strides in understanding and generating human-like text. Yet, when it comes to complex reasoning tasks—especially those that require multi-step calculations or logical analysis—they often struggle. Traditional chain-of-thought (CoT) approaches help by breaking down problems into intermediate steps, but… Read More »Alibaba Researchers Propose START: A Novel Tool-Integrated Long CoT Reasoning LLM that Significantly Enhances Reasoning Capabilities by Leveraging External Tools Asif Razzaq Artificial Intelligence Category – MarkTechPost

​Overfitting is one of the most (if not the most!) common problems encountered when building machine learning (ML) models. Overfitting is one of the most (if not the most!) common problems encountered when building machine learning (ML) models.  Read More  

​[[{“value”:” In this tutorial, we will look into how to easily perform sentiment analysis on text data using IBM’s open-source Granite 3B model integrated with Hugging Face Transformers. Sentiment analysis, a widely-used natural language processing (NLP) technique, helps quickly identify the emotions expressed in text.… Read More »A Coding Guide to Sentiment Analysis of Customer Reviews Using IBM’s Open Source AI Model Granite-3B and Hugging Face Transformers Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have significantly advanced due to the Transformer architecture, with recent models like Gemini-Pro1.5, Claude-3, GPT4, and Llama3.1 demonstrating capabilities to process hundreds of thousands of tokens. However, these expanded context lengths introduce critical challenges for practical deployment. As sequence length… Read More »Q-Filters: A Training-Free AI Method for Efficient KV Cache Compression Mohammad Asjad Artificial Intelligence Category – MarkTechPost