​[[{“value”:” Integration of Reinforcement Learning RL with large language models catalyzes LLM’s performance on distinct specialty tasks such as robotics control or natural language processing that require sequential decision-making. Offline RL is one such technique in the spotlight today that works with static datasets without… Read More »From Wordle to Robotics: Q-SFT Unleashes LLMs’ Potential in Sequential Decision-Making Adeeba Alam Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recommender systems (RS) are essential for generating personalized suggestions based on user preferences, historical interactions, and item attributes. These systems enhance user experience by helping individuals discover relevant content, such as movies, music, books, or products tailored to their interests. Popular platforms like Netflix,… Read More »Hybrid Recommendation System (HRS-IU-DL): Enhancing Accuracy and Personalization with Deep Learning Techniques Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the quest to develop new drugs, the journey from laboratory research to clinical application is complex and expensive. The drug discovery process involves multiple stages, including target identification, drug screening, lead optimization, and clinical trials. Each stage requires a substantial investment of time… Read More »Meet DrugAgent: A Multi-Agent Framework for Automating Machine Learning in Drug Discovery Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Mesh generation is an essential tool with applications in various fields, such as computer graphics and animation, computer-aided design (CAD), and virtual and augmented reality. Scaling mesh generation for converting simplified images into higher-resolution ones requires substantial computational power and memory. Additionally, maintaining intricate… Read More »Blocked and Patchified Tokenization (BPT): A Fundamental Improvement for Mesh Tokenization that Reduces Sequence Length by Approximately 75% Afeerah Naseem Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Mistral AI, a prominent European artificial intelligence startup, has made significant strides in AI with innovative developments and strategic expansions. Founded in April 2023 by former AI researchers from Meta Platforms and Google DeepMind, Mistral AI has rapidly positioned itself as a competitor to… Read More »Mistral AI’s Pioneering Innovations, Strategic Expansions, and Breakthroughs Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” We are excited to announce the availability of Cohere’s advanced reranking model Rerank 3.5 through our new Rerank API in Amazon Bedrock. This powerful reranking model enables AWS customers to significantly improve their search relevance and content ranking capabilities. This model is also available… Read More »Cohere Rerank 3.5 is now available in Amazon Bedrock through Rerank API Karan Singh AWS Machine Learning Blog

​[[{“value”:” As developers gear up for re:Invent 2024, they again face the unique challenges of physical racing. What are the obstacles? Let’s have a look. In this blog post, I will look at what makes physical AWS DeepRacer racing—a real car on a real track—different… Read More »AWS DeepRacer: How to master physical racing? Lars Lorentz Ludvigsen AWS Machine Learning Blog

​[[{“value”:” Graph Neural Networks (GNNs) are a rapidly advancing field in machine learning, specifically designed to analyze graph-structured data representing entities and their relationships. These networks have been widely used in social network analysis, recommendation systems, and molecular data interpretation applications. A subset of GNNs,… Read More »This AI Paper from Amazon Introduces DF-GNN: A Dynamic Kernel Fusion Framework for Accelerating Attention-Graph Neural Networks on GPUs Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Networking architectures are the backbone of global communication, facilitating data exchange across vast and complex infrastructures. These systems must meet the growing demands for speed, scalability, and security while ensuring seamless integration of legacy systems with innovative technologies. They also face the critical task… Read More »Hermes: A General-Purpose Networking Architecture that Creates an Overlay of Reconfigurable Dependent and Standalone Proxies Managed through a Control Plane Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have transformed AI applications, powering tasks like language translation, virtual assistants, and code generation. These models rely on resource-intensive infrastructure, particularly GPUs with high-bandwidth memory, to manage their computational demands. However, delivering high-quality service to numerous users simultaneously introduces significant… Read More »FastSwitch: A Breakthrough in Handling Complex LLM Workloads with Enhanced Token Generation and Priority-Based Resource Management Sana Hassan Artificial Intelligence Category – MarkTechPost