marktechpost7d
Creating an AI-Powered Tutor Using Vector Database and Groq for Retrieval-Augmented Generation (RAG): Step by Step Guide
Currently, three trending topics in the implementation of AI are LLMs, RAG, and Databases. These enable us to create systems that are suitable and specific to our use. This AI-powered system, ...
marktechpost6d
Transformer-Based Modulation Recognition: A New Defense Against Adversarial Attacks
The fast development of wireless communication technologies has increased the application of automatic modulation recognition (AMR) in sectors such as cognitive radio and electronic countermeasures.
marktechpost7d
This AI Paper from the Tsinghua University Propose T1 to Scale Reinforcement Learning by Encouraging Exploration and Understand Inference Scaling
Large language models (LLMs) are developed specifically for math, programming, and general autonomous agents and require improvement in reasoning at test time. Various approaches include producing ...
marktechpost7d
Creating an AI Agent-Based System with LangGraph: Adding Persistence and Streaming (Step by Step Guide)
In our previous tutorial, we built an AI agent capable of answering queries by surfing the web. However, when building agents for longer-running tasks, two critical concepts come into play: ...
marktechpost6d
Dendritic Neural Networks: A Step Closer to Brain-Like AI
Artificial Neural Networks (ANNs) have their roots established in the inspiration developed from biological neural networks. Although highly efficient, ANNs fail to embody the neuronal structures in ...
marktechpost6d
Bio-xLSTM: Efficient Generative Modeling, Representation Learning, and In-Context Adaptation for Biological and Chemical Sequences
Modeling biological and chemical sequences is extremely difficult mainly due to the need to handle long-range dependencies and efficient processing of large sequential data. Classical methods, ...
marktechpost14d
DeepSeek-R1 vs. OpenAI’s o1: A New Step in Open Source and Proprietary Models
AI has entered an era of the rise of competitive and groundbreaking large language models and multimodal models. The development has two sides, one with open source and the other being propriety ...
marktechpost15d
LLaSA-3B: A Llama 3.2B Fine-Tuned Text-to-Speech Model with Ultra-Realistic Audio, Emotional Expressiveness, and Multilingual Support
Text-to-speech (TTS) technology has emerged as a critical tool for bridging the gap between human and machine interaction. The demand for lifelike, emotionally resonant, and linguistically versatile ...
marktechpost14d
Alibaba Researchers Propose VideoLLaMA 3: An Advanced Multimodal Foundation Model for Image and Video Understanding
Advancements in multimodal intelligence depend on processing and understanding images and videos. Images can reveal static scenes by providing information regarding details such as objects, text, and ...
marktechpost7d
Researchers from Stanford, UC Berkeley and ETH Zurich Introduces WARP: An Efficient Multi-Vector Retrieval Engine for Faster and Scalable Search
Multi-vector retrieval has emerged as a critical advancement in information retrieval, particularly with the adoption of transformer-based models. Unlike single-vector retrieval, which encodes queries ...
marktechpost10d
Creating An AI Agent-Based System with LangGraph: A Beginner’s Guide
For example, when a user asks a question, the LLM analyzes the input and decides whether it can answer directly or if additional steps (like a web search) are needed.
marktechpost9d
Yandex Develops and Open-Sources Perforator: An Open-Source Tool that can Save Businesses Billions of Dollars a Year on Server Infrastructure
Yandex, a global tech company, develops and open-sources Perforator, an innovative tool for continuous real-time monitoring and analysis of servers and applications. Perforator helps developers ...