​[[{“value”:” Addressing the Challenges in AI Development The journey to building open source and collaborative AI has faced numerous challenges. One major problem is the centralization of AI model development, which has largely been controlled by a big AI players with vast resources. This concentration… Read More »INTELLECT-1: The First Decentralized 10-Billion-Parameter AI Model Training Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the rapidly evolving world of artificial intelligence, one pressing challenge that developers face is orchestrating complex multi-agent systems. These systems, involving multiple AI agents working collaboratively, often present significant difficulties in coordination, control, and scalability. Current solutions tend to be heavy, requiring extensive… Read More »OpenAI Releases Swarm: An Experimental AI Framework for Building, Orchestrating, and Deploying Multi-Agent Systems Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Text-to-Audio (TTA) and Text-to-Music (TTM) generation have seen significant advancements in recent years, driven by audio-domain diffusion models. These models have demonstrated superior audio modeling capabilities compared to generative adversarial networks (GANs) and variational autoencoders (VAEs). However, diffusion models face the challenge of long… Read More »Researchers from UCSD and Adobe Introduce Presto!: An AI Approach to Inference Acceleration for Score-based Diffusion Transformers via Reducing both Sampling Steps and Cost Per Step Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Retrieval-augmented generation (RAG) has become a key technique in enhancing the capabilities of LLMs by incorporating external knowledge into their outputs. RAG methods enable LLMs to access additional information from external sources, such as web-based databases, scientific literature, or domain-specific corpora, which improves their… Read More »Google AI Researchers Propose Astute RAG: A Novel RAG Approach to Deal with the Imperfect Retrieval Augmentation and Knowledge Conflicts of LLMs Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Multimodal Attributed Graphs (MMAGs) have received little attention despite their versatility in image generation. MMAGs represent relationships between entities with combinatorial complexity in a graph-structured manner. Nodes in the graph contain both image and text information. Compared to text or image conditioning models, graphs… Read More »InstructG2I : A Graph Context Aware Stable Diffusion Model to Synthesize Images from Multimodal Attributed Graphs Adeeba Alam Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The problem that this research seeks to address lies in the inherent limitations of existing large language models (LLMs) when applied to formal theorem proving. Current models are often trained or fine-tuned on specific datasets, such as those focused on undergraduate-level mathematics, but struggle… Read More »LeanAgent: The First Life-Long Learning Agent for Formal Theorem Proving in Lean, Proving 162 Theorems Previously Unproved by Humans Across 23 Diverse Lean Mathematics Repositories Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Modern organizations increasingly depend on robust cloud infrastructure to provide business continuity and operational efficiency. Operational health events – including operational issues, software lifecycle notifications, and more – serve as critical inputs to cloud operations management. Inefficiencies in handling these events can lead to… Read More »Boost productivity by using AI in cloud operational health management Sean Xiaohai Wang AWS Machine Learning Blog

​[[{“value”:” Multimodal Situational Safety is a critical aspect that focuses on the model’s ability to interpret and respond safely to complex real-world scenarios involving visual and textual information. It ensures that Multimodal Large Language Models (MLLMs) can recognize and address potential risks inherent in their… Read More »Multimodal Situational Safety Benchmark (MSSBench): A Comprehensive Benchmark to Analyze How AI Models Evaluate Safety and Contextual Awareness Across Varied Real-World Situations Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” This post is cowritten with Ethan Handel and Zhiyuan He from Indeed.com. Indeed is the world’s #1 job site¹ and a leading global job matching and hiring marketplace. Our mission is to help people get jobs. At Indeed, we serve over 350 million global… Read More »How Indeed builds and deploys fine-tuned LLMs on Amazon SageMaker Ethan Handel AWS Machine Learning Blog

​[[{“value”:” Agentic workflows are a fresh new perspective in building dynamic and complex business use case-based workflows with the help of large language models (LLMs) as their reasoning engine. These agentic workflows decompose the natural language query-based tasks into multiple actionable steps with iterative feedback… Read More »Improve LLM application robustness with Amazon Bedrock Guardrails and Amazon Bedrock Agents Shayan Ray AWS Machine Learning Blog