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Meta Introduces LlamaRL: A Scalable PyTorch-Based Reinforcement Learning RL Framework for Efficient LLM Training at Scale

Reinforcement Learning’s Role in Fine-Tuning LLMs Reinforcement learning has emerged as a powerful approach to fine-tune large language models (LLMs) for more intelligent behavior. These models are already capable of performing a wide range of tasks, from summarization to code…

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Build a Gemini-Powered DataFrame Agent for Natural Language Data Analysis with Pandas and LangChain

In this tutorial, we’ll learn how to harness the power of Google’s Gemini models alongside the flexibility of Pandas. We will perform both straightforward and sophisticated data analyses on the classic Titanic dataset. By combining the ChatGoogleGenerativeAI client with LangChain’s…

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From Text to Action: How Tool-Augmented AI Agents Are Redefining Language Models with Reasoning, Memory, and Autonomy

Early large language models (LLMs) excelled at generating coherent text; however, they struggled with tasks that required precise operations, such as arithmetic calculations or real-time data lookups. The emergence of tool-augmented agents has bridged this gap by endowing LLMs with…

Read MoreFrom Text to Action: How Tool-Augmented AI Agents Are Redefining Language Models with Reasoning, Memory, and Autonomy

VeBrain: A Unified Multimodal AI Framework for Visual Reasoning and Real-World Robotic Control

Bridging Perception and Action in Robotics Multimodal Large Language Models (MLLMs) hold promise for enabling machines, such as robotic arms and legged robots, to perceive their surroundings, interpret scenarios, and take meaningful actions. The integration of such intelligence into physical…

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AI-enabled control system helps autonomous drones stay on target in uncertain environments | MIT News

An autonomous drone carrying water to help extinguish a wildfire in the Sierra Nevada might encounter swirling Santa Ana winds that threaten to push it off course. Rapidly adapting to these unknown disturbances inflight presents an enormous challenge for the…

Read MoreAI-enabled control system helps autonomous drones stay on target in uncertain environments | MIT News

Yandex Releases Alchemist: A Compact Supervised Fine-Tuning Dataset for Enhancing Text-to-Image T2I Model Quality

Despite the substantial progress in text-to-image (T2I) generation brought about by models such as DALL-E 3, Imagen 3, and Stable Diffusion 3, achieving consistent output quality — both in aesthetic and alignment terms — remains a persistent challenge. While large-scale…

Read MoreYandex Releases Alchemist: A Compact Supervised Fine-Tuning Dataset for Enhancing Text-to-Image T2I Model Quality