AI
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Ether0: A 24B LLM received advanced chemical reasoning task for reinforcement learning RL training
LLMS mainly improves accuracy by extending pretrained data and computing resources. However, due to limited data availability, attention has shifted…
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Hirundo raises $8 million to solve AI illusion users
Hirundo, the first startup dedicated to machine learning, has raised $8 million in seed funding to address some of the…
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AI and national security: a new battlefield
Artificial intelligence is changing how countries protect themselves. It is crucial for cybersecurity, weapons development, border control and even public…
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Meta introduces Llamarl: a scalable Pytorch-based reinforcement learning RL framework for effective LLM training
The role of reinforcement learning in fine-tuning LLM Reinforcement learning has become a powerful method to fine-tune the big verb…
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Bridging education gaps in developing countries through beneficial AGI: Lessons in Ethiopia
As the promise of artificial universal intelligence (AGI) increasingly captures global imagination, it is crucial that we ensure that AI…
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The AI Revolution is a Data Revolution: Why Storage Is Important More Than Ever
The ability to easily access data and leverage it in a meaningful way has always been important, but it has…
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Guide to Understanding, Building, and Optimizing API Call Agents
The role of artificial intelligence in technology companies is developing rapidly. AI use cases have evolved from passive information processing…
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15 atmosphere coding tools for converting AI-driven software development in 2025
With the development of AI-Fir, redefine the way software is built,Atmosphere coding“has become a paradigm transfer method Say what they…
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Build a Gemini-driven data frame proxy with giant pandas and Lanchain for natural language data analysis
In this tutorial, we will learn how to leverage the power of Google’s Gemini model and the flexibility of pandas.…
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From text to action: How tool-enhanced AI agents redefine language models with inference, memory, and autonomy
Early large language models (LLMs) performed well in generating coherent text; however, they struggled with tasks that required precise manipulation,…
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