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PokeeResearch-7B: An Open 7B Deep-Research Agent Trained with Reinforcement Learning from AI Feedback (RLAIF) and a Robust Reasoning Scaffold
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PokeeResearch-7B: An Open 7B Deep-Research Agent Trained with Reinforcement Learning from AI Feedback (RLAIF) and a Robust Reasoning Scaffold

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Pokee AI has open sourced PokeeResearch-7B, a 7B parameter deep research agent that executes full research loops, decomposes a query, […]

How to Design a Fully Functional Enterprise AI Assistant with Retrieval Augmentation and Policy Guardrails Using Open Source AI Models
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How to Design a Fully Functional Enterprise AI Assistant with Retrieval Augmentation and Policy Guardrails Using Open Source AI Models

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In this tutorial, we explore how we can build a compact yet powerful Enterprise AI assistant that runs effortlessly on […]

Google AI Introduces VISTA: A Test Time Self Improving Agent for Text to Video Generation
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Google AI Introduces VISTA: A Test Time Self Improving Agent for Text to Video Generation

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TLDR: VISTA is a multi agent framework that improves text to video generation during inference, it plans structured prompts as […]

Google AI Research Releases DeepSomatic: A New AI Model that Identifies Cancer Cell Genetic Variants
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Google AI Research Releases DeepSomatic: A New AI Model that Identifies Cancer Cell Genetic Variants

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A team of researchers from Google Research and UC Santa Cruz released DeepSomatic, an AI model that identifies cancer cell […]

DeepSeek Just Released a 3B OCR Model: A 3B VLM Designed for High-Performance OCR and Structured Document Conversion
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DeepSeek Just Released a 3B OCR Model: A 3B VLM Designed for High-Performance OCR and Structured Document Conversion

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DeepSeek-AI released 3B DeepSeek-OCR, an end to end OCR and document parsing Vision-Language Model (VLM) system that compresses long text […]

The Local AI Revolution: Expanding Generative AI with GPT-OSS-20B and the NVIDIA RTX AI PC
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The Local AI Revolution: Expanding Generative AI with GPT-OSS-20B and the NVIDIA RTX AI PC

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The landscape of AI is expanding. Today, many of the most powerful LLMs (large language models) reside primarily in the […]

Meet LangChain’s DeepAgents Library and a Practical Example to See How DeepAgents Actually Work in Action
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Meet LangChain’s DeepAgents Library and a Practical Example to See How DeepAgents Actually Work in Action

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While a basic Large Language Model (LLM) agent—one that repeatedly calls external tools—is easy to create, these agents often struggle […]

Weak-for-Strong (W4S): A Novel Reinforcement Learning Algorithm that Trains a weak Meta Agent to Design Agentic Workflows with Stronger LLMs
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Weak-for-Strong (W4S): A Novel Reinforcement Learning Algorithm that Trains a weak Meta Agent to Design Agentic Workflows with Stronger LLMs

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Researchers from Stanford, EPFL, and UNC introduce Weak-for-Strong Harnessing, W4S, a new Reinforcement Learning RL framework that trains a small […]

Microsoft AI Proposes BitNet Distillation (BitDistill): A Lightweight Pipeline that Delivers up to 10x Memory Savings and about 2.65x CPU Speedup
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Microsoft AI Proposes BitNet Distillation (BitDistill): A Lightweight Pipeline that Delivers up to 10x Memory Savings and about 2.65x CPU Speedup

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Microsoft Research proposes BitNet Distillation, a pipeline that converts existing full precision LLMs into 1.58 bit BitNet students for specific […]

AutoCode: A New AI Framework that Lets LLMs Create and Verify Competitive Programming Problems, Mirroring the Workflow of Human Problem Setters
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AutoCode: A New AI Framework that Lets LLMs Create and Verify Competitive Programming Problems, Mirroring the Workflow of Human Problem Setters

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Are your LLM code benchmarks actually rejecting wrong-complexity solutions and interactive-protocol violations, or are they passing under-specified unit tests? A […]

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