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BOND’s latest report on Trends – Artificial Intelligence (May 2025) presents a comprehensive data-driven snapshot of the current state and rapid evolution of AI technology. The report highlights some ...
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Edge AI
LangGraph Multi-Agent Swarm is a Python library designed to orchestrate multiple AI agents as a cohesive “swarm.” It builds on LangGraph, a framework for constructing robust, stateful agent workflows, ...
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Meet LangGraph Multi-Agent Swarm: A Python Library for Creating Swarm-Style Multi-Agent Systems Using LangGraph
LangGraph Multi-Agent Swarm is a Python library designed to orchestrate multiple AI agents as a cohesive “swarm.” It builds on LangGraph, a framework for constructing robust, stateful agent workflows, ...
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Hugging Face Introduces a Free Model Context Protocol (MCP) Course: A Developer’s Guide to Build and Deploy Context-Aware AI Agents and Applications
Hugging Face has released a free/open-source course on the Model Context Protocol (MCP), an open approach developed by Anthropic to facilitate the integration of large language models (LLMs) with ...
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A Step-by-Step Guide to Build a Fast Semantic Search and RAG QA Engine on Web-Scraped Data Using Together AI Embeddings, FAISS Retrieval, and LangChain
In this tutorial, we lean hard on Together AI’s growing ecosystem to show how quickly we can turn unstructured text into a question-answering service that cites its sources. We’ll scrape a handful of ...
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Reinforcement Learning, Not Fine-Tuning: Nemotron-Tool-N1 Trains LLMs to Use Tools with Minimal Supervision and Maximum Generalization
Equipping LLMs with external tools or functions has become popular, showing great performance across diverse domains. Existing research depends on synthesizing large volumes of tool-use trajectories ...
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OpenAI Releases HealthBench: An Open-Source Benchmark for Measuring the Performance and Safety of Large Language Models in Healthcare
OpenAI has released HealthBench, an open-source evaluation framework designed to measure the performance and safety of large language models (LLMs) in realistic healthcare scenarios. Developed in ...
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AI That Teaches Itself: Tsinghua University’s ‘Absolute Zero’ Trains LLMs With Zero External Data
LLMs have shown advancements in reasoning capabilities through Reinforcement Learning with Verifiable Rewards (RLVR), which relies on outcome-based feedback rather than imitating intermediate ...
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Vision Foundation Models: Implementation and Business Applications
CLIP by OpenAI excels at connecting images with natural language, making it powerful for zero-shot image classification and retrieval tasks.
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From ELIZA to Conversation Modeling: Evolution of Conversational AI Systems and Paradigms
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 the 80s-90s, hybrid ...
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DeepSeek-AI Released DeepSeek-Prover-V2: An Open-Source Large Language Model Designed for Formal Theorem, Proving through Subgoal Decomposition and Reinforcement Learning
Formal mathematical reasoning has evolved into a specialized subfield of artificial intelligence that requires strict logical consistency. Unlike informal problem solving, which allows for intuition ...
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ByteDance Releases UI-TARS-1.5: An Open-Source Multimodal AI Agent Built upon a Powerful Vision-Language Model
ByteDance has released UI-TARS-1.5, an updated version of its multimodal agent framework focused on graphical user interface (GUI) interaction and game environments. Designed as a vision-language ...