Editors Pick
Breaking News
LLMs Can Now Talk in Real-Time with Minimal Latency: Chinese Researchers...
Researchers at the Institute of Computing Technology, Chinese Academy of Sciences, have introduced LLaMA-Omni2, a family of speech-capable large language models (SpeechLMs) now available...
Implementing an AgentQL Model Context Protocol (MCP) Server
AgentQL allows you to scrape any website with unstructured data by defining the exact shape of the information you want. It gives you consistent,...
Google Releases 76-Page Whitepaper on AI Agents: A Deep Technical Dive...
Google has published the second installment in its Agents Companion series—an in-depth 76-page whitepaper aimed at professionals developing advanced AI agent systems. Building on...
NVIDIA Open Sources Parakeet TDT 0.6B: Achieving a New Standard for...
NVIDIA has unveiled Parakeet TDT 0.6B, a state-of-the-art automatic speech recognition (ASR) model that is now fully open-sourced on Hugging Face. With 600 million...
OpenAI Releases a Strategic Guide for Enterprise AI Adoption: Practical Lessons...
OpenAI has published a comprehensive 24-page document titled AI in the Enterprise, offering a pragmatic framework for organizations navigating the complexities of large-scale AI...
A Coding Guide to Compare Three Stability AI Diffusion Models (v1.5,...
In this hands-on tutorial, we’ll unlock the creative potential of Stability AI’s industry-leading diffusion models, Stable Diffusion v1.5, Stability AI’s v2-base, and the cutting-edge...
How AI Agents Store, Forget, and Retrieve? A Fresh Look at...
Memory plays a crucial role in LLM-based AI systems, supporting sustained, coherent interactions over time. While earlier surveys have explored memory about LLMs, they...
8 Comprehensive Open-Source and Hosted Solutions to Seamlessly Convert Any API...
The Model Communication Protocol (MCP) is an emerging open standard that allows AI agents to interact with external services through a uniform interface. Instead...
RWKV-X Combines Sparse Attention and Recurrent Memory to Enable Efficient 1M-Token...
LLMs built on Transformer architectures face significant scaling challenges due to their quadratic complexity in sequence length when processing long-context inputs. Methods like Linear...
How the Model Context Protocol (MCP) Standardizes, Simplifies, and Future-Proofs AI...
Before MCP, LLMs relied on ad-hoc, model-specific integrations to access external tools. Approaches like ReAct interleave chain-of-thought reasoning with explicit function calls, while Toolformer...
Scaling Reinforcement Learning Beyond Math: Researchers from NVIDIA AI and CMU...
Large Language Models (LLMs) have demonstrated remarkable reasoning capabilities across diverse tasks, with Reinforcement Learning (RL) serving as a crucial mechanism for refining their...
Multimodal Queries Require Multimodal RAG: Researchers from KAIST and DeepAuto.ai Propose...
RAG has proven effective in enhancing the factual accuracy of LLMs by grounding their outputs in external, relevant information. However, most existing RAG implementations...
Building AI Agents Using Agno’s Multi-Agent Teaming Framework for Comprehensive Market...
In today’s fast-paced financial landscape, leveraging specialized AI agents to handle discrete aspects of analysis is key to delivering timely, accurate insights. Agno’s lightweight,...
Google Researchers Advance Diagnostic AI: AMIE Now Matches or Outperforms Primary...
LLMs have shown impressive promise in conducting diagnostic conversations, particularly through text-based interactions. However, their evaluation and application have largely ignored the multimodal nature...
Meta AI Releases Llama Prompt Ops: A Python Toolkit for Prompt...
Meta AI has released Llama Prompt Ops, a Python package designed to streamline the process of adapting prompts for Llama models. This open-source tool...
A Step-by-Step Tutorial on Connecting Claude Desktop to Real-Time Web Search...
In this hands-on tutorial, we’ll learn how to seamlessly connect Claude Desktop to real-time web search and content-extraction capabilities using Tavily AI’s Model Context...
IBM AI Releases Granite 4.0 Tiny Preview: A Compact Open-Language Model...
IBM has introduced a preview of Granite 4.0 Tiny, the smallest member of its upcoming Granite 4.0 family of language models. Released under the...
Vision Foundation Models: Implementation and Business Applications
In this tutorial, we'll explore implementing various vision foundation models for business applications. We'll focus on practical code implementation, technical details, and business use...
Oversight at Scale Isn’t Guaranteed: MIT Researchers Quantify the Fragility of...
Frontier AI companies show advancement toward artificial general intelligence (AGI), creating a need for techniques to ensure these powerful systems remain controllable and beneficial....
LLMs Can Now Reason in Parallel: UC Berkeley and UCSF Researchers...
Large language models (LLMs) have made significant strides in reasoning capabilities, exemplified by breakthrough systems like OpenAI o1 and DeepSeekR1, which utilize test-time compute...
Implementing An Airbnb and Excel MCP Server
In this tutorial, we'll build an MCP server that integrates Airbnb and Excel, and connect it with Cursor IDE. Using natural language, you'll be...
LLMs Can Learn Complex Math from Just One Example: Researchers from...
Recent advancements in LLMs such as OpenAI-o1, DeepSeek-R1, and Kimi-1.5 have significantly improved their performance on complex mathematical reasoning tasks. Reinforcement Learning with Verifiable...
Building a Zapier AI-Powered Cursor Agent to Read, Search, and Send...
In this tutorial, we’ll learn how to harness the power of the Model Context Protocol (MCP) alongside Zapier AI to build a responsive email...
AI Agents Are Here—So Are the Threats: Unit 42 Unveils the...
As AI agents transition from experimental systems to production-scale applications, their growing autonomy introduces novel security challenges. In a comprehensive new report, “AI Agents...
Subject-Driven Image Evaluation Gets Simpler: Google Researchers Introduce REFVNLI to Jointly...
Text-to-image (T2I) generation has evolved to include subject-driven approaches, which enhance standard T2I models by incorporating reference images alongside text prompts. This advancement allows...
From ELIZA to Conversation Modeling: Evolution of Conversational AI Systems and...
TL;DR: Conversational AI has transformed from ELIZA's simple rule-based systems in the 1960s to today's sophisticated platforms. The journey progressed through scripted bots in...
JetBrains Open Sources Mellum: A Developer-Centric Language Model for Code-Related Tasks
JetBrains has officially open-sourced Mellum, a purpose-built 4-billion-parameter language model tailored for software development tasks. Developed from the ground up, Mellum reflects JetBrains’ engineering-first...
Meta and Booz Allen Deploy Space Llama: Open-Source AI Heads to...
In a significant step toward enabling autonomous AI systems in space, Meta and Booz Allen Hamilton have announced the deployment of Space Llama, a...
Training LLM Agents Just Got More Stable: Researchers Introduce StarPO-S and...
Large language models (LLMs) face significant challenges when trained as autonomous agents in interactive environments. Unlike static tasks, agent settings require sequential decision-making, cross-turn...
Xiaomi introduced MiMo-7B: A Compact Language Model that Outperforms Larger Models...
With rising demand for AI systems that can handle tasks involving multi-step logic, mathematical proofs, and software development, researchers have turned their attention toward...
Building a REACT-Style Agent Using Fireworks AI with LangChain that Fetches...
In this tutorial, we will explore how to leverage the capabilities of Fireworks AI for building intelligent, tool-enabled agents with LangChain. Starting from installing...
Building the Internet of Agents: A Technical Dive into AI Agent...
As large language model (LLM) agents gain traction across enterprise and research ecosystems, a foundational gap has emerged: communication. While agents today can autonomously...
DeepSeek-AI Released DeepSeek-Prover-V2: An Open-Source Large Language Model Designed for Formal...
Formal mathematical reasoning has evolved into a specialized subfield of artificial intelligence that requires strict logical consistency. Unlike informal problem solving, which allows for...
Salesforce AI Research Introduces New Benchmarks, Guardrails, and Model Architectures to...
Salesforce AI Research has outlined a comprehensive roadmap for building more intelligent, reliable, and versatile AI agents. The recent initiative focuses on addressing foundational...
Meta AI Introduces First Version of Its Llama 4-Powered AI App:...
Meta has officially entered the standalone AI assistant arena with the launch of its new Meta AI app, unveiled at the inaugural LlamaCon developer...
Microsoft AI Released Phi-4-Reasoning: A 14B Parameter Open-Weight Reasoning Model that...
Despite notable advancements in large language models (LLMs), effective performance on reasoning-intensive tasks—such as mathematical problem solving, algorithmic planning, or coding—remains constrained by model...
Meta AI Introduces ReasonIR-8B: A Reasoning-Focused Retriever Optimized for Efficiency and...
Addressing the Challenges in Reasoning-Intensive Retrieval
Despite notable progress in retrieval-augmented generation (RAG) systems, retrieving relevant information for complex, multi-step reasoning tasks remains a significant...
A Step-by-Step Coding Guide to Integrate Dappier AI’s Real-Time Search and...
In this tutorial, we will learn how to harness the power of Dappier AI, a suite of real-time search and recommendation tools, to enhance...
Multimodal AI on Developer GPUs: Alibaba Releases Qwen2.5-Omni-3B with 50% Lower...
Multimodal foundation models have shown substantial promise in enabling systems that can reason across text, images, audio, and video. However, the practical deployment of...
Mem0: A Scalable Memory Architecture Enabling Persistent, Structured Recall for Long-Term...
Large language models can generate fluent responses, emulate tone, and even follow complex instructions; however, they struggle to retain information across multiple sessions. This...
Exploring the Sparse Frontier: How Researchers from Edinburgh, Cohere, and Meta...
Sparse attention is emerging as a compelling approach to improve the ability of Transformer-based LLMs to handle long sequences. This is particularly important because...
Diagnosing and Self- Correcting LLM Agent Failures: A Technical Deep Dive...
Deploying large language model (LLM)-based agents in production settings often reveals critical reliability issues. Accurately identifying the causes of agent failures and implementing proactive...
Beyond the Hype: Google’s Practical AI Guide Every Startup Founder Should...
In 2025, AI continues to reshape how startups build, operate, and compete. Google's Future of AI: Perspectives for Startups report presents a comprehensive roadmap,...
Google NotebookLM Launches Audio Overviews in 50+ Languages, Expanding Global Accessibility...
Google has significantly expanded the capabilities of its experimental AI tool, NotebookLM, by introducing Audio Overviews in over 50 languages. This marks a notable...
Tutorial on Seamlessly Accessing Any LinkedIn Profile with exa-mcp-server and Claude...
In this tutorial, we’ll learn how to harness the power of the exa-mcp-server alongside Claude Desktop to access any LinkedIn page programmatically. The exa-mcp-server...
Can Coding Agents Improve Themselves? Researchers from University of Bristol and...
The development of agentic systems—LLMs embedded within scaffolds capable of tool use and autonomous decision-making—has made significant progress. Yet, most implementations today rely on...
Reinforcement Learning for Email Agents: OpenPipe’s ART·E Outperforms o3 in Accuracy,...
OpenPipe has introduced ART·E (Autonomous Retrieval Tool for Email), an open-source research agent designed to answer user questions based on inbox contents with a...
How to Create a Custom Model Context Protocol (MCP) Client Using...
In this tutorial, we will be implementing a custom Model Context Protocol (MCP) Client using Gemini. By the end of this tutorial, you will...
UniME: A Two-Stage Framework for Enhancing Multimodal Representation Learning with MLLMs
The CLIP framework has become foundational in multimodal representation learning, particularly for tasks such as image-text retrieval. However, it faces several limitations: a strict...
ThinkPRM: A Generative Process Reward Models for Scalable Reasoning Verification
Reasoning with LLMs can benefit from utilizing more test compute, which depends on high-quality process reward models (PRMs) to select promising paths for search...
A Coding Guide to Different Function Calling Methods to Create Real-Time,...
Function calling lets an LLM act as a bridge between natural-language prompts and real-world code or APIs. Instead of simply generating text, the model...
The WAVLab Team Releases of VERSA: A Comprehensive and Versatile Evaluation Toolkit...
AI models have made remarkable strides in generating speech, music, and other forms of audio content, expanding possibilities across communication, entertainment, and human-computer interaction....
Alibaba Qwen Team Just Released Qwen3: The Latest Generation of Large...
Despite the remarkable progress in large language models (LLMs), critical challenges remain. Many models exhibit limitations in nuanced reasoning, multilingual proficiency, and computational efficiency....
ViSMaP: Unsupervised Summarization of Hour-Long Videos Using Meta-Prompting and Short-Form Datasets
Video captioning models are typically trained on datasets consisting of short videos, usually under three minutes in length, paired with corresponding captions. While this...
A Coding Tutorial of Model Context Protocol Focusing on Semantic Chunking,...
Managing context effectively is a critical challenge when working with large language models, especially in environments like Google Colab, where resource constraints and long...
Devin AI Introduces DeepWiki: A New AI-Powered Interface to Understand GitHub...
Devin AI recently introduced DeepWiki, a free tool that automatically generates structured, wiki-style documentation for any GitHub repository. Built using their in-house DeepResearch agent,...
Tiny Models, Big Reasoning Gains: USC Researchers Introduce Tina for Cost-Effective...
Achieving strong, multi-step reasoning in LMs remains a major challenge, despite notable progress in general task performance. Such reasoning is crucial for complex problem-solving...
Researchers from Sea AI Lab, UCAS, NUS, and SJTU Introduce FlowReasoner:...
LLM-based multi-agent systems characterized by planning, reasoning, tool use, and memory capabilities form the foundation of applications like chatbots, code generation, mathematics, and robotics....
Microsoft Releases a Comprehensive Guide to Failure Modes in Agentic AI...
As agentic AI systems evolve, the complexity of ensuring their reliability, security, and safety grows correspondingly. Recognizing this, Microsoft's AI Red Team (AIRT) has...
Building Fully Autonomous Data Analysis Pipelines with the PraisonAI Agent Framework:...
In this tutorial, we demonstrate how PraisonAI Agents can elevate your data analysis from manual scripting to a fully autonomous, AI-driven pipeline. In a...
ByteDance Introduces QuaDMix: A Unified AI Framework for Data Quality and...
The pretraining efficiency and generalization of large language models (LLMs) are significantly influenced by the quality and diversity of the underlying training corpus. Traditional...
Optimizing Reasoning Performance: A Comprehensive Analysis of Inference-Time Scaling Methods in...
Language models have shown great capabilities across various tasks. However, complex reasoning remains challenging as it often requires additional computational resources and specialized techniques....
Implementing Persistent Memory Using a Local Knowledge Graph in Claude Desktop
A Knowledge Graph Memory Server allows Claude Desktop to remember and organize information about a user across multiple chats. It can store things like...
Google AI Unveils 601 Real-World Generative AI Use Cases Across Industries
Google Cloud has just released an extraordinary compendium of 601 real-world generative AI (GenAI) use cases from some of the world’s top organizations —...
This AI Paper from China Proposes a Novel Training-Free Approach DEER...
Recent progress in large reasoning language models (LRLMs), such as DeepSeek-R1 and GPT-O1, has greatly improved complex problem-solving abilities by extending the length of...
A Coding Implementation with Arcade: Integrating Gemini Developer API Tools into...
Arcade transforms your LangGraph agents from static conversational interfaces into dynamic, action-driven assistants by providing a rich suite of ready-made tools, including web scraping...
LLMs Can Now Simulate Massive Societies: Researchers from Fudan University Introduce...
Human behavior research strives to comprehend how individuals and groups act in social contexts, forming a foundational social science element. Traditional methodologies like surveys,...
Meta AI Introduces Token-Shuffle: A Simple AI Approach to Reducing Image...
Autoregressive (AR) models have made significant advances in language generation and are increasingly explored for image synthesis. However, scaling AR models to high-resolution images...
AgentA/B: A Scalable AI System Using LLM Agents that Simulate Real...
Designing and evaluating web interfaces is one of the most critical tasks in today’s digital-first world. Every change in layout, element positioning, or navigation...
Google DeepMind Research Introduces QuestBench: Evaluating LLMs’ Ability to Identify Missing...
Large language models (LLMs) have gained significant traction in reasoning tasks, including mathematics, logic, planning, and coding. However, a critical challenge emerges when applying...
Skywork AI Advances Multimodal Reasoning: Introducing Skywork R1V2 with Hybrid Reinforcement...
Recent advancements in multimodal AI have highlighted a persistent challenge: achieving strong specialized reasoning capabilities while preserving generalization across diverse tasks. "Slow-thinking" models such...
From GenAI Demos to Production: Why Structured Workflows Are Essential
At technology conferences worldwide and on social media, generative AI applications demonstrate impressive capabilities: composing marketing emails, creating data visualizations, or writing functioning code....
A Comprehensive Tutorial on the Five Levels of Agentic AI Architectures:...
In this tutorial, we explore five levels of Agentic Architectures, from the simplest language model calls to a fully autonomous code-generating system. This tutorial...
Mila & Universite de Montreal Researchers Introduce the Forgetting Transformer (FoX)...
Transformers have revolutionized sequence modeling by introducing an architecture that handles long-range dependencies efficiently without relying on recurrence. Their ability to process input tokens...
Microsoft Research Introduces MMInference to Accelerate Pre-filling for Long-Context Vision-Language Models
Integrating long-context capabilities with visual understanding significantly enhances the potential of VLMs, particularly in domains such as robotics, autonomous driving, and healthcare. Expanding the...
NVIDIA AI Releases OpenMath-Nemotron-32B and 14B-Kaggle: Advanced AI Models for Mathematical...
Mathematical reasoning has long presented a formidable challenge for AI, demanding not only an understanding of abstract concepts but also the ability to perform...
Meta AI Releases Web-SSL: A Scalable and Language-Free Approach to Visual...
In recent years, contrastive language-image models such as CLIP have established themselves as a default choice for learning vision representations, particularly in multimodal applications...
Meet Rowboat: An Open-Source IDE for Building Complex Multi-Agent Systems
As multi-agent systems gain traction in real-world applications—from customer support automation to AI-native infrastructure—the need for a streamlined development interface has never been greater....
OpenAI Launches gpt-image-1 API: Bringing High-Quality Image Generation to Developers
OpenAI has officially announced the release of its image generation API, powered by the gpt-image-1 model. This launch brings the multimodal capabilities of ChatGPT...
A New Citibank Report/Guide Shares How Agentic AI Will Reshape Finance...
In its latest 'Agentic AI Finance & the ‘Do It For Me’ Economy' report, Citibank explores a significant paradigm shift underway in financial services:...
A Coding Guide to Asynchronous Web Data Extraction Using Crawl4AI: An...
In this tutorial, we demonstrate how to harness Crawl4AI, a modern, Python‑based web crawling toolkit, to extract structured data from web pages directly within...
Sequential-NIAH: A Benchmark for Evaluating LLMs in Extracting Sequential Information from...
Evaluating how well LLMs handle long contexts is essential, especially for retrieving specific, relevant information embedded in lengthy inputs. Many recent LLMs—such as Gemini-1.5,...
AWS Introduces SWE-PolyBench: A New Open-Source Multilingual Benchmark for Evaluating AI...
Recent advancements in large language models (LLMs) have enabled the development of AI-based coding agents that can generate, modify, and understand software code. However,...
Meet Xata Agent: An Open Source Agent for Proactive PostgreSQL Monitoring,...
Xata Agent is an open-source AI assistant built to serve as a site reliability engineer for PostgreSQL databases. It constantly monitors logs and performance...
NVIDIA AI Releases Describe Anything 3B: A Multimodal LLM for Fine-Grained...
Challenges in Localized Captioning for Vision-Language Models
Describing specific regions within images or videos remains a persistent challenge in vision-language modeling. While general-purpose vision-language...
Muon Optimizer Significantly Accelerates Grokking in Transformers: Microsoft Researchers Explore Optimizer...
Revisiting the Grokking Challenge
In recent years, the phenomenon of grokking—where deep learning models exhibit a delayed yet sudden transition from memorization to generalization—has prompted...
LLMs Can Now Learn without Labels: Researchers from Tsinghua University and...
Despite significant advances in reasoning capabilities through reinforcement learning (RL), most large language models (LLMs) remain fundamentally dependent on supervised data pipelines. RL frameworks...
Open-Source TTS Reaches New Heights: Nari Labs Releases Dia, a 1.6B...
The development of text-to-speech (TTS) systems has seen significant advancements in recent years, particularly with the rise of large-scale neural models. Yet, most high-fidelity...
Meet VoltAgent: A TypeScript AI Framework for Building and Orchestrating Scalable...
VoltAgent is an open-source TypeScript framework designed to streamline the creation of AI‑driven applications by offering modular building blocks and abstractions for autonomous agents....
Decoupled Diffusion Transformers: Accelerating High-Fidelity Image Generation via Semantic-Detail Separation and...
Diffusion Transformers have demonstrated outstanding performance in image generation tasks, surpassing traditional models, including GANs and autoregressive architectures. They operate by gradually adding noise...
A Coding Guide to Build an Agentic AI‑Powered Asynchronous Ticketing Assistant...
In this tutorial, we’ll build an end‑to‑end ticketing assistant powered by Agentic AI using the PydanticAI library. We’ll define our data rules with Pydantic...
Researchers at Physical Intelligence Introduce π-0.5: A New AI Framework for...
Designing intelligent systems that function reliably in dynamic physical environments remains one of the more difficult frontiers in AI. While significant advances have been...
Atla AI Introduces the Atla MCP Server: A Local Interface of...
Reliable evaluation of large language model (LLM) outputs is a critical yet often complex aspect of AI system development. Integrating consistent and objective evaluation...
LLMs Can Now Retain High Accuracy at 2-Bit Precision: Researchers from...
LLMs show impressive capabilities across numerous applications, yet they face challenges due to computational demands and memory requirements. This challenge is acute in scenarios...
Long-Context Multimodal Understanding No Longer Requires Massive Models: NVIDIA AI Introduces...
In recent years, vision-language models (VLMs) have advanced significantly in bridging image, video, and textual modalities. Yet, a persistent limitation remains: the inability to...
A Code Implementation of a Real‑Time In‑Memory Sensor Alert Pipeline in...
In this notebook, we demonstrate how to build a fully in-memory “sensor alert” pipeline in Google Colab using FastStream, a high-performance, Python-native stream processing...
Anthropic Releases a Comprehensive Guide to Building Coding Agents with Claude...
Anthropic has released a detailed best-practice guide for using Claude Code, a command-line interface designed for agentic software development workflows. Rather than offering a...
LLMs Still Struggle to Cite Medical Sources Reliably: Stanford Researchers Introduce...
As LLMs become more prominent in healthcare settings, ensuring that credible sources back their outputs is increasingly important. Although no LLMs are yet FDA-approved...
Serverless MCP Brings AI-Assisted Debugging to AWS Workflows Within Modern IDEs
Serverless computing has significantly streamlined how developers build and deploy applications on cloud platforms like AWS. However, debugging and managing complex architectures—comprising services such...
A Step-by-Step Coding Guide to Defining Custom Model Context Protocol (MCP)...
In this Colab‑ready tutorial, we demonstrate how to integrate Google’s Gemini 2.0 generative AI with an in‑process Model Context Protocol (MCP) server, using FastMCP....