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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...
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...
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,...
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,...
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....
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...
Uploading Datasets to Hugging Face: A Step-by-Step Guide
Part 1: Uploading a Dataset to Hugging Face Hub
Introduction
This part of the tutorial walks you through the process of uploading a custom dataset to...
Traditional RAG Frameworks Fall Short: Megagon Labs Introduces ‘Insight-RAG’, a Novel...
RAG frameworks have gained attention for their ability to enhance LLMs by integrating external knowledge sources, helping address limitations like hallucinations and outdated information....
Nomic Open Sources State-of-the-Art Multimodal Embedding Model
Nomic has announced the release of "Nomic Embed Multimodal," a groundbreaking embedding model that achieves state-of-the-art performance on visual document retrieval tasks. The new...
Beginner’s Guide to Deploying a Machine Learning API with FastAPI
In this guide, you will learn how to deploy a machine learning model as an API using FastAPI. We will create an API that...
Achieving Critical Reliability in Instruction-Following with LLMs: How to Achieve AI...
Ensuring reliable instruction-following in LLMs remains a critical challenge. This is particularly important in customer-facing applications, where mistakes can be costly. Traditional prompt engineering...
This AI Paper Introduces R1-Onevision: A Cross-Modal Formalization Model for Advancing...
Multimodal reasoning is an evolving field that integrates visual and textual data to enhance machine intelligence. Traditional artificial intelligence models excel at processing either...
Aya Vision Unleashed: A Global AI Revolution in Multilingual Multimodal Power!
Cohere For AI has just dropped a bombshell: Aya Vision, a open-weights vision model that's about to redefine multilingual and multimodal communication. Prepare for...
Meet Manus: A New AI Agent from China with Deep Research...
In today’s digital era, the way we work is rapidly evolving, yet many challenges persist. Conventional AI assistants and manual workflows struggle to keep...
NeoBERT: Modernizing Encoder Models for Enhanced Language Understanding
Encoder models like BERT and RoBERTa have long been cornerstones of natural language processing (NLP), powering tasks such as text classification, retrieval, and toxicity...
Meta AI Introduces SWE-RL: An AI Approach to Scale Reinforcement Learning...
Modern software development faces a multitude of challenges that extend beyond simple code generation or bug detection. Developers must navigate complex codebases, manage legacy...
Can Users Fix AI Bias? Exploring User-Driven Value Alignment in AI...
Large language model (LLM)--based AI companions have evolved from simple chatbots into entities that users perceive as friends, partners, or even family members. Yet,...
Convergence Labs Introduces the Large Memory Model (LM2): A Memory-Augmented Transformer...
Transformer-based models have significantly advanced natural language processing (NLP), excelling in various tasks. However, they struggle with reasoning over long contexts, multi-step inference, and...
Google DeepMind Introduces AlphaGeometry2: A Significant Upgrade to AlphaGeometry Surpassing the...
The International Mathematical Olympiad (IMO) is a globally recognized competition that challenges high school students with complex mathematical problems. Among its four categories, geometry...
Creating an AI Agent-Based System with LangGraph: Putting a Human in...
In our previous tutorial, we built an AI agent capable of answering queries by surfing the web and added persistence to maintain state. However,...
Top AI Coding Agents in 2025
AI-powered coding agents have significantly transformed software development in 2025, offering advanced features that enhance productivity and streamline workflows. Below is an overview of...
An In-Depth Exploration of Reasoning and Decision-Making in Agentic AI: How...
Agentic AI gains much value from the capacity to reason about complex environments and make informed decisions with minimal human input. The first article...
ByteDance Introduces UI-TARS: A Native GUI Agent Model that Integrates Perception,...
GUI agents seek to perform real tasks in digital environments by understanding and interacting with graphical interfaces such as buttons and text boxes. The...
Google AI Introduces ZeroBAS: A Neural Method to Synthesize Binaural Audio...
Humans possess an extraordinary ability to localize sound sources and interpret their environment using auditory cues, a phenomenon termed spatial hearing. This capability enables...
Researchers from Salesforce, The University of Tokyo, UCLA, and Northeastern University...
Conversational AI has come a long way, but one challenge persists: getting systems to engage proactively in a way that feels natural. Many AI...
Researchers from NVIDIA, CMU and the University of Washington Released ‘FlashInfer’:...
Large Language Models (LLMs) have become an integral part of modern AI applications, powering tools like chatbots and code generators. However, the increased reliance...
ProTrek: A Tri-Modal Protein Language Model for Advancing Sequence-Structure-Function Analysis
Proteins, the essential molecular machinery of life, play a central role in numerous biological processes. Decoding their intricate sequence, structure, and function (SSF) is...
Google DeepMind Researchers Introduce InfAlign: A Machine Learning Framework for Inference-Aware...
Generative language models face persistent challenges when transitioning from training to practical application. One significant difficulty lies in aligning these models to perform optimally...
Meet HuatuoGPT-o1: A Medical LLM Designed for Advanced Medical Reasoning
Medical artificial intelligence (AI) is full of promise but comes with its own set of challenges. Unlike straightforward mathematical problems, medical tasks often demand...
Hume AI Introduces OCTAVE: A Next-Generation Speech-Language Model with New Emergent...
The evolution of speech and language technology has led to improvements in areas like voice assistants, transcription, and sentiment analysis. However, many models struggle...
Apple Researchers Introduce ARMADA: An AI System for Augmenting Apple Vision...
Imitation learning (IL) is one of the methods in robotics where robots are trained to mimic human actions based on expert demonstrations. This method...
Do Transformers Truly Understand Search? A Deep Dive into Their Limitations
Transformers have been the foundation of large language models (LLMs), and recently, their application has expanded to search problems in graphs, a foundational domain...
Hugging Face Releases Observers: An Open-Source Python Library that Provides Comprehensive...
Hugging Face has introduced Observers, a cutting-edge tool that enhances transparency and understanding of generative AI interactions. This open-source Python SDK offers developers an...
Meet Memoripy: A Python Library that Brings Real Memory Capabilities to...
Artificial intelligence systems often struggle with retaining meaningful context over extended interactions. This limitation poses challenges for applications such as chatbots and virtual assistants,...
A Comparison of Top Embedding Libraries for Generative AI
The rapid advancements in Generative AI have underscored the importance of text embeddings. These embeddings transform textual data into dense vector representations, enabling models...
Top 15 Cloud Hosting Providers
Cloud hosting has emerged as a key component for companies and developers seeking to expand their operations, improve performance, and guarantee strong data security...
JPMorgan Chase Researchers Propose JPEC: A Novel Graph Neural Network that...
Knowledge graphs are finding their way into financial practices, especially as powerful tools for competitor retrieval tasks. Graph's ability to organize and analyze complex...
Cornell Researchers Introduce QTIP: A Weight-Only Post-Training Quantization Algorithm that Achieves...
Quantization is an essential technique in machine learning for compressing model data, which enables the efficient operation of large language models (LLMs). As the...
Run AI Open Sources Run:ai Model Streamer: A Purpose-Built Solution to...
In the fast-moving world of artificial intelligence and machine learning, the efficiency of deploying and running models is key to success. For data scientists...
Understanding and Reducing Nonlinear Errors in Sparse Autoencoders: Limitations, Scaling Behavior,...
Sparse autoencoders (SAEs) are an emerging method for breaking down language model activations into linear, interpretable features. However, they fail to fully explain model...
ElevenLabs Introduces Voice Design: A New AI Feature that Generates a...
ElevenLabs just introduced Voice Design, a new AI voice generation that allows you to generate a unique voice from a text prompt alone. Text-to-speech...
A Comprehensive Comparative Study on the Reasoning Patterns of OpenAI’s o1...
Large language models (LLMs) have significantly advanced handling of complex tasks like mathematics, coding, and commonsense reasoning. However, improving the reasoning capabilities of these...
Google AI Researchers Introduced a Set of New Methods for Enhancing...
Large language models (LLMs) have revolutionized various fields by enabling more effective data processing, complex problem-solving, and natural language understanding. One major innovation is...
MIBench: A Comprehensive AI Benchmark for Model Inversion Attack and Defense
A Model Inversion (MI) attack is a type of privacy attack on machine learning and deep learning models, where an attacker tries to invert...
Holistic Evaluation of Vision Language Models (VHELM): Extending the HELM Framework...
One of the most pressing challenges in the evaluation of Vision-Language Models is related to not having comprehensive benchmarks that assess the full spectrum...
40+ Cool AI Tools You Should Check Out (Oct 2024)
DeepSwap
DeepSwap is an AI-based tool for anyone who wants to create convincing deepfake videos and images. It is super easy to create your content by...
Differential Transformer: A Foundation Architecture for Large Language Models that Reduces...
Transformer architecture has enabled large language models (LLMs) to perform complex natural language understanding and generation tasks. At the core of the Transformer is...
a2z Radiology AI Introduces a2z-1: An AI that Analyzes Abdominal-Pelvis CT...
In a significant stride for radiology, a2z Radiology AI emerged from stealth mode today, unveiling its vision to create an AI-powered safety net for...
Ready Tensor’s Deep Dive into Time Series Step Classification: Comparative Analysis...
Time series analysis is a complex & challenging domain in data science, primarily due to the sequential nature and temporal dependencies inherent in the...
Iteration of Thought: An AI Framework for Enhancing LLM Responses by...
Large Language Models (LLMs) have revolutionized natural language processing, enabling AI systems to perform a wide range of tasks with remarkable proficiency. However, researchers...
RAG, AI Agents, and Agentic RAG: An In-Depth Review and Comparative...
Artificial intelligence (AI) has given rise to powerful models capable of performing diverse tasks. Two of the most impactful advancements in this space are...
Google DeepMind Introduced Self-Correction via Reinforcement Learning (SCoRe): A New AI...
Large language models (LLMs) are increasingly used in domains requiring complex reasoning, such as mathematical problem-solving and coding. These models can generate accurate outputs...
Mistral AI Released Mistral-Small-Instruct-2409: A Game-Changing Open-Source Language Model Empowering Versatile...
Mistral AI recently announced the release of Mistral-Small-Instruct-2409, a new open-source large language model (LLM) designed to address critical challenges in artificial intelligence research...
Comet Launches Opik: A Comprehensive Open-Source Tool for End-to-End LLM Evaluation,...
Comet has unveiled Opik, an open-source platform designed to enhance the observability and evaluation of large language models (LLMs). This tool is tailored for...
Top Reinforcement Learning Courses
Reinforcement learning (RL) enables machines to learn from their actions and make decisions through trial and error, similar to how humans learn. It's the...
Comprehensive Overview of 20 Essential LLM Guardrails: Ensuring Security, Accuracy, Relevance,...
With the rapid expansion and application of large language models (LLMs), ensuring these AI systems generate safe, relevant, and high-quality content has become critical....
Small but Mighty: The Enduring Relevance of Small Language Models in...
Large Language Models (LLMs) have revolutionized natural language processing in recent years. The pre-train and fine-tune paradigm, exemplified by models like ELMo and BERT,...
CONClave: Enhancing Security and Trust in Cooperative Autonomous Vehicle Networks Cooperative...
The cooperative operation of autonomous vehicles can greatly improve road safety and efficiency. However, securing these systems against unauthorized participants poses a significant challenge....
How to Prompt on OpenAI’s o1 Models and What’s Different From...
OpenAI’s o1 models represent a newer generation of AI, designed to be highly specialized, efficient, and capable of handling tasks more dynamically than their...
PowerLM-3B and PowerMoE-3B Released by IBM: Revolutionizing Language Models with 3...
IBM's release of PowerLM-3B and PowerMoE-3B signifies a significant leap in effort to improve the efficiency and scalability of language model training. IBM has...
LG AI Research Open-Sources EXAONEPath: Transforming Histopathology Image Analysis with a...
Building on LG AI Research’s remarkable achievements in AI language models, especially with the launch of EXAONE 3.0, the development of EXAONEPath represents another...
AnyGraph: An Effective and Efficient Graph Foundation Model Designed to Address...
Graph learning focuses on developing advanced models capable of analyzing and processing relational data structured as graphs. This field is essential in various domains,...
Google DeepMind Researchers Propose GenRM: Training Verifiers with Next-Token Prediction to...
Generative AI, an area of artificial intelligence, focuses on creating systems capable of producing human-like text and solving complex reasoning tasks. These models are...
Cheshire-Cat: A Python Framework to Build Custom AIs on Top of...
Introducing Cheshire Cat, a newly developed framework designed to simplify the creation of custom AI assistants on top of any language model. Similar to...
Cartesia AI Released Rene: A Groundbreaking 1.3B Parameter Open-Source Small Language...
Cartesia AI has made a notable contribution with the release of Rene, a 1.3 billion-parameter language model. This open-source model, built upon a hybrid...
Humboldt: A Specification-based System Framework for Generating a Data Discovery UI...
Data discovery has become increasingly challenging due to the proliferation of easily accessible data analysis tools and low-cost cloud storage. While these advancements have...
PermitQA: A Novel AI Benchmark for Evaluating Retrieval Augmented Generation RAG...
Natural Language Processing (NLP) has seen remarkable advancements, particularly in text generation techniques. Among these, Retrieval Augmented Generation (RAG) is a method that significantly...
AI21 Labs Released Jamba 1.5 Family of Open Models: Jamba 1.5...
AI21 Labs has made a significant stride in the AI landscape by releasing the Jamba 1.5 family of open models, comprising Jamba 1.5 Mini...
Researchers from UCI and Cisco Propose ‘CrystalBall’: A Novel AI Method...
Cybersecurity is a fast-paced area wherein knowledge and mitigation of threats are most necessary. In this respect, the attack graph is one tool that...
AI and Cybersecurity: Navigating Innovation, Resilience, and Global Collaborative Efforts
Balancing Innovation and Threats in AI and Cybersecurity:
AI is transforming many sectors with its advanced tools and broad accessibility. However, the advancement of AI...
aiXplain Researchers Develop Innovative Approaches for Arabic Prompt Instruction Following with...
Large language models require large datasets of prompts paired with particular user requests and correct responses for training purposes. LLMs require this for human-like...
Arcee AI Introduces Arcee Swarm: A Groundbreaking Mixture of Agents MoA...
Arcee AI, an artificial intelligence AI company focussing specially on small language models, is introducing its first-of-its-kind Arcee Swarm. The release, which is coming...
Sarvam AI Releases Samvaad-Hi-v1 Dataset and Sarvam-2B: A 2 Billion Parameter...
Sarvam AI has recently unveiled its cutting-edge language model, Sarvam-2B. This powerful model, boasting 2 billion parameters, represents a significant stride in Indic language...
Med42-v2 Released: A Groundbreaking Suite of Clinical Large Language Models Built...
Healthcare artificial intelligence (AI) is rapidly advancing, with large language models (LLMs) emerging as powerful tools to transform various aspects of clinical practice. These...
Self-play muTuAl Reasoning (rStar): A Novel AI Approach that Boosts Small...
Large language models (LLMs) have made significant strides in various applications, but they continue to face substantial challenges in complex reasoning tasks. For instance,...
DynamoLLM: An Energy-Management Framework for Sustainable Artificial Intelligence Performance and Optimized...
Generative Large Language Models (LLMs) have become an essential part of many applications due to their quick growth and widespread use. LLM inference clusters...
Top Calendar Tools For Meetings (2024)
Calendars, specifically Google Calendars, have both positive and negative aspects. For example, they can help plan gatherings, track time spent on individual tasks, and...
NeuralForecast 1.7.4 Released: Nixtla’s Advanced Library Revolutionizes Neural Forecasting with Usability...
In a significant development for the forecasting community, Nixtla has announced the release of NeuralForecast, an advanced library designed to offer a robust and...
Arcee AI Released DistillKit: An Open Source, Easy-to-Use Tool Transforming Model...
Arcee AI has announced the release of DistillKit, an innovative open-source tool designed to revolutionize the creation and distribution of Small Language Models (SLMs)....
How Important is the Reference Model in Direct Preference Optimization DPO?...
Direct Preference Optimization (DPO) is an advanced training method to fine-tune large language models (LLMs). Unlike traditional supervised fine-tuning, which depends on a single...
Emergence AI Proposes Agent-E: A Web Agent Achieving 73.2% Success Rate...
Autonomous web navigation focuses on developing AI agents capable of performing complex online tasks. These tasks range from data retrieval and form submissions to...
RogueGPT: Unveiling the Ethical Risks of Customizing ChatGPT
Generative Artificial Intelligence (GenAI), particularly large language models (LLMs) like ChatGPT, has revolutionized the field of natural language processing (NLP). These models can produce...
This Deep Learning Paper from Eindhoven University of Technology Releases Nerva:...
Deep learning has demonstrated remarkable success across various scientific fields, showing its potential in numerous applications. These models often come with many parameters requiring...
Researchers at Google Deepmind Introduce BOND: A Novel RLHF Method that...
Reinforcement learning from human feedback RLHF is essential for ensuring quality and safety in LLMs. State-of-the-art LLMs like Gemini and GPT-4 undergo three training...
Meta AI Release CyberSecEval 3: A Wide-Ranging Evaluation Framework for LLM...
The cybersecurity risks, benefits, and capabilities of AI systems are crucial for the security and AI policy. As AI becomes increasingly integrated into various...
Yandex Introduces TabReD: A New Benchmark for Tabular Machine Learning
In recent years, research on tabular machine learning has grown rapidly. Yet, it still poses significant challenges for researchers and practitioners. Traditionally, academic benchmarks...
Apple AI Released a 7B Open-Source Language Model Trained on 2.5T...
Language models (LMs) have become fundamental in natural language processing (NLP), enabling text generation, translation, and sentiment analysis tasks. These models demand vast amounts...
Researchers at Pennsylvania State University Evaluate the Impact of ChatGPT on...
Large language models (LLMs), like ChatGPT, are reshaping education by offering new methods for learning and teaching. These advanced models understand and generate human-like...
Mistral AI and NVIDIA Collaborate to Release Mistral NeMo: A 12B...
In collaboration with NVIDIA, the Mistral AI team has unveiled Mistral NeMo, a groundbreaking 12-billion parameter model that promises to set new standards in...
Researchers from Google DeepMind Introduce YouTube-SL-25: A Multilingual Corpus with Over...
Sign language research aims to advance technology that improves the understanding, translation, and interpretation of sign languages used by Deaf and hard-of-hearing communities globally....
Microsoft Researchers Propose Auto Evol-Instruct: An End-to-End AI Framework that Evolves...
Large language models (LLMs) are central to advancements in artificial intelligence, focusing on enhancing the models' ability to follow detailed instructions. This area of...
UCSD Researchers Propose a General Variational Inference-based Framework (MCD) to Infer...
Researchers are struggling with the challenge of causal discovery in heterogeneous time-series data, where a single causal model cannot capture diverse causal mechanisms. Traditional...
Mistral AI Unveils Mathstral 7B and Math Fine-Tuning Base: Achieving 56.6%...
Mistral AI announces the release of its latest model, the Mathstral model. This new model is specifically designed for mathematical reasoning and scientific discovery....
This AI Paper by Prime Intellect Introduces OpenDiLoCo: An Open-Source Framework...
Machine learning, particularly in training large language models (LLMs), has revolutionized numerous applications. These models necessitate substantial computational resources, typically concentrated within well-connected clusters,...
RoboMorph: Evolving Robot Design with Large Language Models and Evolutionary Machine...
The field of robotics is seeing transformative changes with the integration of generative methods like large language models (LLMs). These advancements enable the developing...
Korvus: An All-in-One Open-Source RAG (Retrieval-Augmented Generation) Pipeline Built for Postgres
The Retrieval-Augmented Generation (RAG) pipeline includes four major steps— generating embeddings for queries and documents, retrieving relevant documents, analyzing the retrieved data, and generating...
Q-GaLore Released: A Memory-Efficient Training Approach for Pre-Training and Fine-Tuning Machine...
Large Language Models (LLMs) have become critical tools in various domains due to their exceptional ability to understand and generate human language. These models,...
Can LLMs Help Accelerate the Discovery of Data-Driven Scientific Hypotheses? Meet...
Scientific discovery has been a cornerstone of human advancement for centuries, traditionally relying on manual processes. However, the emergence of large language models (LLMs)...
MJ-BENCH: A Multimodal AI Benchmark for Evaluating Text-to-Image Generation with Focus...
Text-to-image generation models have gained traction with advanced AI technologies, enabling the generation of detailed and contextually accurate images based on textual prompts. The...
Patronus AI Introduces Lynx: A SOTA Hallucination Detection LLM that Outperforms GPT-4o and All...
Patronus AI has announced the release of Lynx. This cutting-edge hallucination detection model promises to outperform existing solutions such as GPT-4, Claude-3-Sonnet, and other...