​[[{“value”:” Evaluating the retrieval and reasoning capabilities of large language models (LLMs) in extremely long contexts, extending up to 1 million tokens, is a significant challenge. Efficiently processing long texts is crucial for extracting relevant information and making accurate decisions based on extensive data. This… Read More »NeedleBench: A Customizable Dataset Framework that Includes Tasks for Evaluating the Bilingual Long-Context Capabilities of LLMs Across Multiple Length Intervals Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Despite their expanding capabilities, large language models (LLMs) need help with processing extensive contexts. These limitations stem from Transformer-based architectures struggling to extrapolate beyond their training window size. Processing long token sequences requires substantial computational resources and risks producing noisy attention embeddings. These constraints… Read More »EM-LLM: A Novel and Flexible Architecture that Integrates Key Aspects of Human Episodic Memory and Event Cognition into Transformer-based Language Models Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Innovation and the artistic, musical, and literary expression of human experiences and emotions depend on creativity. However, the idea that material created by humans is inherently better is coming under pressure from the emergence of generative artificial intelligence (AI) technologies, such as Large Language… Read More »Is Generative AI Boosting Individual Creativity but  Reducing Collective Novelty? Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” LLMs excel in natural language processing tasks but face deployment challenges due to high computational and memory demands during inference. Recent research [MWM+24, WMD+23, SXZ+24, XGZC23, LKM23] aims to enhance LLM efficiency through quantization, pruning, distillation, and improved decoding. Sparsity, a key approach, reduces… Read More »Q-Sparse: A New Artificial Intelligence AI Approach to Enable Full Sparsity of Activations in LLMs Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Snowflake recently announced the release of its updated text embedding model, snowflake-arctic-embed-m-v1.5. This model generates highly compressible embedding vectors while maintaining high performance. The model’s most noteworthy feature is its ability to produce embedding vectors compressed to as small as 128 bytes per vector… Read More »Snowflake-Arctic-Embed-m-v1.5 Released: A 109M Parameters Groundbreaking Text Embedding Model with Enhanced Compression and Performance Capabilities Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) and their multi-modal counterparts (MLLMs) have made significant strides in advancing artificial general intelligence (AGI) across various domains. However, these models face a significant challenge in the realm of visual mathematical problem-solving. While MLLMs have demonstrated impressive capabilities in diverse… Read More »From Diagrams to Solutions: MAVIS’s Three-Stage Framework for Mathematical AI Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Document understanding (DU) focuses on the automatic interpretation and processing of documents, encompassing complex layout structures and multi-modal elements such as text, tables, charts, and images. This task is essential for extracting and utilizing the vast amounts of information contained in documents generated annually.… Read More »MMLongBench-Doc: A Comprehensive Benchmark for Evaluating Long-Context Document Understanding in Large Vision-Language Models Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Evaluating conversational AI assistants, like GitHub Copilot Chat, is challenging due to their reliance on language models and chat-based interfaces. Existing metrics for conversational quality need to be revised for domain-specific dialogues, making it hard for software developers to assess the effectiveness of these… Read More »This AI Paper from Microsoft Present RUBICON: A Machine Learning Technique for Evaluating Domain-Specific Human-AI Conversations Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Many developers face the challenge of safely executing AI-generated code. Running such code locally can pose security risks and may require extensive setup. Additionally, there’s a need for a tool that can support multiple programming languages and frameworks seamlessly without compromising on security or… Read More »AI Artifacts App: An Open Source Version of Anthropic Artifacts that can Analyze Python Code, Generate HTML/CSS/JS and Next.js Code Niharika Singh Artificial Intelligence Category – MarkTechPost