​[[{“value”:” Language Foundation Models (LFMs) and Large Language Models (LLMs) have demonstrated their ability to handle multiple tasks efficiently with a single fixed model. This achievement has motivated the development of Image Foundation Models (IFMs) in computer vision, which aim to encode general information from… Read More »TWLV-I: A New Video Foundation Model that Constructs Robust Visual Representations for both Motion and Appearance-based Videos Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Retrieval Augmented Generation (RAG) represents a cutting-edge advancement in Artificial Intelligence, particularly in NLP and Information Retrieval (IR). This technique is designed to enhance the capabilities of Large Language Models (LLMs) by seamlessly integrating contextually relevant, timely, and domain-specific information into their responses. This… Read More »AWS Enhancing Information Retrieval in Large Language Models: A Data-Centric Approach Using Metadata, Synthetic QAs, and Meta Knowledge Summaries for Improved Accuracy and Relevancy Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The Mixture of Experts (MoE) models enhance performance and computational efficiency by selectively activating subsets of model parameters. While traditional MoE models utilize homogeneous experts with identical capacities, this approach limits specialization and parameter utilization, especially when handling varied input complexities. Recent studies highlight… Read More »Heterogeneous Mixture of Experts (HMoE): Enhancing Model Efficiency and Performance with Diverse Expert Capacities Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” As Large Language Models (LLMs) become increasingly prevalent in long-context applications like interactive chatbots and document analysis, serving these models with low latency and high throughput has emerged as a significant challenge. Conventional wisdom suggests that techniques like speculative decoding (SD), while effective for… Read More »MagicDec: Unlocking Up to 2x Speedup in LLaMA Models for Long-Context Applications Shreya Maji Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The release of DocChat by Cerebras marks a major milestone in document-based conversational question-answering systems. Cerebras, known for its deep expertise in machine learning (ML) and large language models (LLMs), has introduced two new models under the DocChat series: Cerebras Llama3-DocChat and Cerebras Dragon-DocChat.… Read More »Cerebras DocChat Released: Built on Top of Llama 3, DocChat holds GPT-4 Level Conversational QA Trained in a Few Hours Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The field of large language models (LLMs) has rapidly evolved, particularly in specialized domains like medicine, where accuracy and reliability are crucial. In healthcare, these models promise to significantly enhance diagnostic accuracy, treatment planning, and the allocation of medical resources. However, the challenges inherent… Read More »Turing-Complete-RAG (TC-RAG): A Breakthrough Framework Enhancing Accuracy and Reliability in Medical LLMs Through Dynamic State Management and Adaptive Retrieval Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence (AI) development, particularly in large language models (LLMs), focuses on aligning these models with human preferences to enhance their effectiveness and safety. This alignment is critical in refining AI interactions with users, ensuring that the responses generated are accurate and aligned with… Read More »Contrastive Learning from AI Revisions (CLAIR): A Novel Approach to Address Underspecification in AI Model Alignment with Anchored Preference Optimization (APO) Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Understanding spoken language for large language models (LLMs) is crucial for creating more natural and intuitive interactions with machines. While traditional models excel at text-based tasks, they struggle with comprehending human speech, limiting their potential in real-world applications like voice assistants, customer service, and… Read More »Llama3 Just Got Ears! Llama3-s v0.2: A New Multimodal Checkpoint with Improved Speech Understanding Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) like GPT-4, Qwen2, and LLaMA have revolutionized artificial intelligence, particularly in natural language processing. These Transformer-based models, trained on vast datasets, have shown remarkable capabilities in understanding and generating human language, impacting healthcare, finance, and education sectors. However, LLMs need… Read More »Integrating Graph Structures into Language Models: A Comprehensive Study of GraphRAG Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Repeatedly switching back and forth between various AI tools and applications to perform simple tasks like grammar checks or content edits can be daunting. This constant back-and-forth often wastes time and interrupts workflow, which hinders the efficiency of the process. Users usually find themselves… Read More »Extension|OS: An Open-Source Browser Extension that Makes AI Accessible Directly Where You Need It Niharika Singh Artificial Intelligence Category – MarkTechPost