​[[{“value”:” Salesforce, a leading player in cloud-based software and customer relationship management (CRM), has made substantial progress integrating artificial intelligence into its ecosystem. From tools that enhance developer productivity to autonomous agents revolutionizing business processes, Salesforce’s recent developments demonstrate its commitment to leveraging AI for… Read More »Salesforce’s AI Advancements: Redefining Business and Developer Productivity Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Despite significant progress in artificial intelligence, current models continue to face notable challenges in advanced reasoning. Contemporary models, including sophisticated large language models such as GPT-4, often struggle to effectively manage complex mathematical problems, intricate coding tasks, and nuanced logical reasoning. These models exhibit… Read More »Alibaba’s Qwen Team Releases QwQ-32B-Preview: An Open Model Comprising 32 Billion Parameters Specifically Designed to Tackle Advanced Reasoning Tasks Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Enterprises are facing challenges in accessing their data assets scattered across various sources because of increasing complexities in managing vast amount of data. Traditional search methods often fail to provide comprehensive and contextual results, particularly for unstructured data or complex queries. Search solutions in… Read More »Search enterprise data assets using LLMs backed by knowledge graphs Surendiran Rangaraj AWS Machine Learning Blog

​[[{“value”:” Generative AI continues to transform numerous industries and activities, with one such application being the enhancement of chess, a traditional human game, with sophisticated AI and large language models (LLMs). Using the Custom Model Import feature in Amazon Bedrock, you can now create engaging… Read More »Embodied AI Chess with Amazon Bedrock Dwaragha Sivalingam AWS Machine Learning Blog

​[[{“value”:” The development of language modeling focuses on creating artificial intelligence systems that can process and generate text with human-like fluency. These models play critical roles in machine translation, content generation, and conversational AI applications. They rely on extensive datasets and complex training algorithms to… Read More »The Allen Institute for AI (AI2) Releases OLMo 2: A New Family of Open-Sourced 7B and 13B Language Models Trained on up to 5T Tokens Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have witnessed an unprecedented surge in popularity, with customers increasingly using publicly available models such as Llama, Stable Diffusion, and Mistral. Across diverse industries—including healthcare, finance, and marketing—organizations are now engaged in pre-training and fine-tuning these increasingly larger LLMs, which… Read More »Efficiently train models with large sequence lengths using Amazon SageMaker model parallel Kanwaljit Khurmi AWS Machine Learning Blog

​[[{“value”:” Generative AI agents are designed to interact with their environment to achieve specific objectives, such as automating repetitive tasks and augmenting human capabilities. By orchestrating multistep workflows that adapt to evolving goals in real time, these agents increase productivity, reduce errors, and deliver more… Read More »Getting started with Amazon Bedrock Agents custom orchestrator Kyle Blocksom AWS Machine Learning Blog

​[[{“value”:” Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon available through an API, so you can choose from a wide range of FMs to find the model that best suits your use case. With the… Read More »Use Amazon Bedrock Agents for code scanning, optimization, and remediation Rama Krishna Yalla AWS Machine Learning Blog

​[[{“value”:” Spoken term detection (STD) is a critical area in speech processing, enabling the identification of specific phrases or terms in large audio archives. This technology is extensively used in voice-based searches, transcription services, and multimedia indexing applications. By facilitating the retrieval of spoken content,… Read More »This AI Paper Introduces BEST-STD (Spoken Term Detection): A Novel Bidirectional Mamba-Enhanced Speech Tokenization Framework for Efficient Spoken Term Detection Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Quantum and neuromorphic computing represent phenomenal computational paradigms that promise transformative technological advances. Quantum computing utilizes unique quantum phenomena like entanglement and superposition to develop algorithms that surpass classical computational methods. Neuromorphic computing draws inspiration from biological neural networks to achieve energy-efficient computational strategies.… Read More »Quantum Neuromorphic Computing: Implementing Scalable Quantum Perceptrons Mohammad Asjad Artificial Intelligence Category – MarkTechPost