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linkhttps://minicon.marktechpost.com/ calendar_today07-04-2016 04:22:35

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Building a Multi-Agent AI Research Team with LangGraph and Gemini for Automated Reporting In this tutorial, we build a complete multi-agent research team system using LangGraph and Google’s Gemini API. We utilize role-specific agents, Researcher, Analyst, Writer, and Supervisor,

Building a Multi-Agent AI Research Team with LangGraph and Gemini for Automated Reporting

In this tutorial, we build a complete multi-agent research team system using LangGraph and Google’s Gemini API. We utilize role-specific agents, Researcher, Analyst, Writer, and Supervisor,
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MemAgent shows how reinforcement learning can turn LLMs into long-context reasoning machines—scaling to 3.5M tokens with linear cost. MemAgent is a novel reinforcement learning-based memory framework designed to tackle the limitations of long-context processing in large language

MemAgent shows how reinforcement learning can turn LLMs into long-context reasoning machines—scaling to 3.5M tokens with linear cost.

MemAgent is a novel reinforcement learning-based memory framework designed to tackle the limitations of long-context processing in large language
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NVIDIA AI Releases OpenReasoning-Nemotron: A Suite of Reasoning-Enhanced LLMs Distilled from DeepSeek R1 0528 NVIDIA has released OpenReasoning-Nemotron, a suite of 1.5B to 32B parameter LLMs built on the Qwen 2.5 architecture and distilled from the 671B DeepSeek R1 0528 model.

NVIDIA AI Releases OpenReasoning-Nemotron: A Suite of Reasoning-Enhanced LLMs Distilled from DeepSeek R1 0528

NVIDIA has released OpenReasoning-Nemotron, a suite of 1.5B to 32B parameter LLMs built on the Qwen 2.5 architecture and distilled from the 671B DeepSeek R1 0528 model.
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Building a Smart Python-to-R Code Converter with Gemini AI-Powered Validation and Feedback In this tutorial, we delve into the creation of an intelligent Python-to-R code converter that integrates Google’s free Gemini API for validation and improvement suggestions. We start by

Building a Smart Python-to-R Code Converter with Gemini AI-Powered Validation and Feedback

In this tutorial, we delve into the creation of an intelligent Python-to-R code converter that integrates Google’s free Gemini API for validation and improvement suggestions. We start by
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TikTok Researchers Introduce SWE-Perf: The First Benchmark for Repository-Level Code Performance Optimization SWE-Perf, introduced by TikTok researchers, is the first benchmark designed to evaluate large language models (LLMs) on repository-level code performance optimization.

TikTok Researchers Introduce SWE-Perf: The First Benchmark for Repository-Level Code Performance Optimization

SWE-Perf, introduced by TikTok researchers, is the first benchmark designed to evaluate large language models (LLMs) on repository-level code performance optimization.
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WrenAI is an open-source conversational AI agent that empowers users to access data insights and build interactive dashboards simply by asking questions in natural language—no coding or SQL skills required. By connecting to a wide range of popular databases, WrenAI automatically

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Building a Versatile Multi‑Tool AI Agent Using Lightweight Hugging Face Models [Full Code Included] In this tutorial, we begin by setting up a compact yet capable AI agent that runs smoothly, leveraging Hugging Face transformers. We integrate dialog generation,

Building a Versatile Multi‑Tool AI Agent Using Lightweight Hugging Face Models [Full Code Included]

In this tutorial, we begin by setting up a compact yet capable AI agent that runs smoothly, leveraging Hugging Face transformers. We integrate dialog generation,
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Qwen Releases Qwen3-Coder-480B-A35B-Instruct: Its Most Powerful Open Agentic Code Model Yet Qwen has just released Qwen3-Coder-480B-A35B-Instruct, an advanced 480-billion-parameter Mixture-of-Experts model with 35 billion active parameters and native support for an unprecedented

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A Coding Guide to Build a Tool-Calling ReAct Agent Fusing Prolog Logic with Gemini and LangGraph In this tutorial, we are walking through a hands-on fusion of symbolic logic and generative AI. We set up PySwip to embed a Prolog knowledge base, wrap its predicates as LangChain

A Coding Guide to Build a Tool-Calling ReAct Agent Fusing Prolog Logic with Gemini and LangGraph

In this tutorial, we are walking through a hands-on fusion of symbolic logic and generative AI. We set up PySwip to embed a Prolog knowledge base, wrap its predicates as LangChain
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Unsupervised System 2 Thinking: The Next Leap in Machine Learning with Energy-Based Transformers Energy-Based Transformers (EBTs) represent a new step in machine learning by enabling models to “think” beyond fast, pattern-based decisions and perform in-depth, human-like

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DualDistill and Agentic-R1: How AI Combines Natural Language and Tool Use for Superior Math Problem Solving DualDistill is a novel distillation framework that trains a unified AI model, Agentic-R1, by combining strengths from two specialized teacher models—one using natural

DualDistill and Agentic-R1: How AI Combines Natural Language and Tool Use for Superior Math Problem Solving

DualDistill is a novel distillation framework that trains a unified AI model, Agentic-R1, by combining strengths from two specialized teacher models—one using natural
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Alibaba Qwen Introduces Qwen3-MT: Next-Gen Multilingual Machine Translation Powered by Reinforcement Learning Qwen has just released Qwen3-MT, its most advanced multilingual machine translation model to date, now available via the Qwen API. Built on a Mixture-of-Experts

Alibaba Qwen Introduces Qwen3-MT: Next-Gen Multilingual Machine Translation Powered by Reinforcement Learning

Qwen has just released Qwen3-MT, its most advanced multilingual machine translation model to date, now available via the Qwen API. Built on a Mixture-of-Experts
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🚀 New tutorial just dropped! Build your own GPU‑powered local LLM workflow—integrating Ollama + LangChain with Retrieval-Augmented Generation, agent tools (web search + RAG), multi-session chat, and performance monitoring. 🔥 Full code included! Check it out 👇

🚀 New tutorial just dropped! Build your own GPU‑powered local LLM workflow—integrating Ollama + LangChain with Retrieval-Augmented Generation, agent tools (web search + RAG), multi-session chat, and performance monitoring. 🔥 Full code included!

Check it out 👇