AI

Ragrams have gained attention to their ability to improve LLMs by integrating external knowledge sources, helping to address restrictions such as hallucinations and outdated information. Traditional RAG approaches are often dependent on the surface level documents, despite their potential, lack deeply embedded insights in texts or overlook information spread over several sources. These methods are … Read more

Artificial intelligence systems have made significant progress in simulating human style reasoning, especially math and logic. These models don’t just generate answers – they go through a series of logical steps to reach out to conclusions and provide insight into how and why these answers are produced. This step-by-step reason, often called chain-of-thoughthought (COT), has … Read more

Large languages ​​MDOELS LLMS has shown a remarkable benefit across different text and multimodal tasks. However, many applications, such as document and video understanding, requires learning in context and inference-time scaling, the ability to process and resonate over long sequences of tokens. The limited context window of LLMS poers a significant challenge in these situations, … Read more

This tutorial will guide you by using Pytorch to implement a neural collaborative filtering (NCF) recommendation system. NCF expands traditional matrix factorization by using neural networks to model complex user items interactions. Introduction Neural Collaborative Filtring (NCF) is an advanced approach to building recommendation systems. Unlike traditional collaborative filtering methods that depend on linear models, … Read more

Google AI announced recently Agent2 Agent (A2A)An open protocol designed to facilitate secure, interoperable communication among AI agents built on different platforms and frames. By offering a standardized approach to agent interaction, A2A aims to streamline complex workflows involving specialized AI agents who work together to perform tasks with varying complexity and duration. A2A addresses … Read more

Tactile Sensing is a crucial modality for intelligent systems to perceive and interact with the physical world. The Gelsight Sensor and its variants have emerged as influential tactile technologies, providing detailed information on contact surfaces by turning tactile data into visual images. However, vision-based tactile sensing lacks transferability between sensors due to design and manufacturing … Read more

LLMs have shown strong general performance across different tasks, including mathematical reasoning and automation. However, they are struggling in domain -specific applications where specialized knowledge and nuanced reasoning are important. These challenges arise primarily from the difficulty of accurately representing knowledge of long-tailed domain within limited parameter budgets, leading to hallucinations and the lack of … Read more

Today, Meta AI announced the release of its latest generation of multimodal models, Llama 4, with two variants: Llama 4 Scout and Llama 4 Maverick. These models represent significant technical progress in multimodal AI, providing improved opportunities for both text and image understanding. The Llama 4 Scout is a 17-billion-active parameter model structured with 16 … Read more

In today’s information -rich digital landscape, navigating extensive web content can be overwhelming. Whether you are examining a project, studying complex material or trying to extract specific information from long articles, the process can be time -consuming and ineffective. This is where an AI-driven question answer (Q&A) Bot becomes invaluable. This tutorial will guide you … Read more

Technologies for Automatic Speech Recognition (ASR) are advanced significant, yet remarkable differences are still in their ability to accurately recognize different languages. Prominent ASR systems, such as Openai’s Whisper, exhibit pronounced performance holes when treating eastern languages ​​compared to Western colleagues. This discrepancy presents specific challenges in multilingual regions, especially those characterized by several dialects … Read more