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Capital One pushes data tokenisation

AI Observer
News

A Step-by-Step Guide on Building, Customizing, and Publishing an AI-Focused Blogging...

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News

Multimodal AI Needs More Than Modality Support: Researchers Propose General-Level and...

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Healthcare and Biotechnology

OpenAI Releases HealthBench: An Open-Source Benchmark for Measuring the Performance and...

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Education

RL^V: Unifying Reasoning and Verification in Language Models through Value-Free Reinforcement...

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News

Implementing an LLM Agent with Tool Access Using MCP-Use

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A Step-by-Step Guide to Deploy a Fully Integrated Firecrawl-Powered MCP Server...

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Education

Reinforcement Learning, Not Fine-Tuning: Nemotron-Tool-N1 Trains LLMs to Use Tools with...

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News

Google’s AI Futures Fund may have to tread carefully

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Computer Vision

Police tech can sidestep facial recognition bans now

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Building from Scratch in the Age of AI: A New Era...

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Education

Optimizing Assembly Code with LLMs: Reinforcement Learning Outperforms Traditional Compilers

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Step-by-Step Guide to Build a Customizable Multi-Tool AI Agent with LangGraph...

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Anthropic

This retractable USB-C cable for fast charging is a must buy...

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Anthropic

Microsoft now tests AI-generated text for Windows Notepad

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AI Observer

Optimizing Assembly Code with LLMs: Reinforcement Learning Outperforms Traditional Compilers

LLMs have shown impressive capabilities across various programming tasks, yet their potential for program optimization has not been fully explored. While some recent efforts have used LLMs to enhance performance in languages like C++ and Python, the broader application of LLMs to optimize code, especially in low-level programming contexts,...