marktechpost5d
Retrieval-Augmented Generation (RAG): Deep Dive into 25 Different Types of RAG
Retrieval-augmented generation (RAG) architectures are revolutionizing how information is retrieved and processed by integrating retrieval capabilities with generative artificial intelligence. This ...
marktechpost5d
Red Teaming for AI: Strengthening Safety and Trust through External Evaluation
Red teaming plays a pivotal role in evaluating the risks associated with AI models and systems. It uncovers novel threats, identifies gaps in current safety measures, and strengthens quantitative ...
marktechpost4d
Hugging Face Releases SmolVLM: A 2B Parameter Vision-Language Model for On-Device Inference
In recent years, there has been a growing demand for machine learning models capable of handling visual and language tasks effectively, without relying on large, cumbersome infrastructure. The ...
marktechpost4d
Researchers from NVIDIA and MIT Present SANA: An Efficient High-Resolution Image Synthesis Pipeline that Could Generate 4K Images from a Laptop
Diffusion models have pulled ahead of others in text-to-image generation. With continuous research in this field over the past year, we can now generate high-resolution, realistic images that are ...
marktechpost4d
This AI Paper Introduces HARec: A Hyperbolic Framework for Balancing Exploration and Exploitation in Recommender Systems
Recommender systems are essential in modern digital platforms, enabling personalized user experiences by predicting preferences based on interaction data. These systems help users navigate the vast ...
marktechpost6d
Meet CircleMind: An AI Startup that is Transforming Retrieval Augmented Generation with Knowledge Graphs and PageRank
In an era of information overload, advancing AI requires not just innovative technologies but smarter approaches to data processing and understanding. Meet CircleMind, an AI startup reimagining ...
marktechpost7d
OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis
Logic synthesis is one of the important steps in designing digital circuits, in which high-level descriptions are turned into detailed gate-level designs. The development of ML algorithms is ...
marktechpost5d
On-Chip Implementation of Backpropagation for Spiking Neural Networks on Neuromorphic Hardware
Natural neural systems have inspired innovations in machine learning and neuromorphic circuits designed for energy-efficient data processing. However, implementing the backpropagation algorithm, a ...
marktechpost5d
SemiKong: An Open Source Foundation Model for Semiconductor Manufacturing Process
Semiconductors are essential in powering various electronic devices and driving development across telecommunications, automotive, healthcare, renewable energy, and IoT industries. In semiconductor ...
marktechpost6d
aiOla Releases Whisper-NER: An Open Source AI Model for Joint Speech Transcription and Entity Recognition
Speech recognition technology has made significant progress, with advancements in AI improving accessibility and accuracy. However, it still faces challenges, particularly in understanding spoken ...
marktechpost5d
Neural Magic Releases 2:4 Sparse Llama 3.1 8B: Smaller Models for Efficient GPU Inference
The rapid growth in AI model sizes has brought significant computational and environmental challenges. Deep learning models, particularly language models, have expanded considerably in recent years, ...
marktechpost5d
This AI Paper Proposes NLRL: A Natural Language-Based Paradigm for Enhancing Reinforcement Learning Efficiency and Interpretability
Reinforcement Learning (RL) represents a robust computational approach to decision-making formulated through the Markov Decision Processes (MDPs) framework. RL has gained prominence for its ability to ...