​[[{“value”:” Recommender systems have gained prominence across various applications, with deep neural network-based algorithms showing impressive capabilities. Large language models (LLMs) have recently demonstrated proficiency in multiple tasks, prompting researchers to explore their potential in recommendation systems. However, two main challenges hinder LLM adoption: high… Read More »DaRec: A Novel Plug-and-Play Alignment Framework for LLMs and Collaborative Models Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” One of the biggest challenges when developing deep learning models is ensuring they run efficiently across different hardware. Most frameworks that handle this well are complex and difficult to extend, especially when supporting new types of accelerators like GPUs or specialized chips. This complexity… Read More »Tinygrad: A Simplified Deep Learning Framework for Hardware Experimentation Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Personalized image generation is gaining traction due to its potential in various applications, from social media to virtual reality. However, traditional methods often require extensive tuning for each user, limiting efficiency and scalability. Imagine Yourself, an innovative model that overcomes these limitations by eliminating… Read More »Meta AI Proposes ‘Imagine yourself’: A State-of-the-Art Model for Personalized Image Generation without Subject-Specific Fine-Tuning Shreya Maji Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have advanced rapidly, becoming powerful tools for complex planning and cognitive tasks. This progress has spurred the development of LLM-powered multi-agent systems (LLM-MA systems), which aim to simulate and solve real-world problems through coordinated agent cooperation. These systems can be… Read More »MegaAgent: A Practical AI Framework Designed for Autonomous Cooperation in Large-Scale LLM Agent Systems Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Enhancing Agricultural Resilience through Remote Sensing and AI: Modern agriculture faces significant challenges from climate change, limited water resources, rising production costs, and disruptions like the COVID-19 pandemic. These issues jeopardize the sustainability of food production systems, necessitating innovative solutions to meet the demands… Read More »Advancing Agricultural Sustainability: Integrating Remote Sensing, AI, and Genomics for Enhanced Resilience Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Today, we are excited to announce general availability of batch inference for Amazon Bedrock. This new feature enables organizations to process large volumes of data when interacting with foundation models (FMs), addressing a critical need in various industries, including call center operations. Call center… Read More »Enhance call center efficiency using batch inference for transcript summarization with Amazon Bedrock Ishan Singh AWS Machine Learning Blog

​[[{“value”:” Fine-tuning Meta Llama 3.1 models with Amazon SageMaker JumpStart enables developers to customize these publicly available foundation models (FMs). The Meta Llama 3.1 collection represents a significant advancement in the field of generative artificial intelligence (AI), offering a range of capabilities to create innovative… Read More »Fine-tune Meta Llama 3.1 models for generative AI inference using Amazon SageMaker JumpStart Xin Huang AWS Machine Learning Blog

​[[{“value”:” Microsoft has recently expanded its artificial intelligence capabilities by introducing three sophisticated models: Phi 3.5 Mini Instruct, Phi 3.5 MoE (Mixture of Experts), and Phi 3.5 Vision Instruct. These models represent significant advancements in natural language processing, multimodal AI, and high-performance computing, each designed… Read More »Microsoft AI Releases Phi 3.5 mini, MoE and Vision with 128K context, Multilingual and MIT License Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Neuro-symbolic artificial intelligence (NeSy AI) is a rapidly evolving field that seeks to combine the perceptive abilities of neural networks with the logical reasoning strengths of symbolic systems. This hybrid approach is designed to address complex tasks that require both pattern recognition and deductive… Read More »EXPLAIN, AGREE, LEARN (EXAL) Method: A Transforming Approach to Scaling Learning in Neuro-Symbolic AI with Enhanced Accuracy and Efficiency for Complex Tasks Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Customer reviews can reveal customer experiences with a product and serve as an invaluable source of information to the product teams. By continually monitoring these reviews over time, businesses can recognize changes in customer perceptions and uncover areas of improvement. Analyzing these reviews to… Read More »Analyze customer reviews using Amazon Bedrock Rajesh Sripathi AWS Machine Learning Blog