🔥 Trending Repository: ART

📝 Description: Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen2.5, Qwen3, Llama, and more!

🔗 Repository URL: https://github.com/OpenPipe/ART

🌐 Website: https://art.openpipe.ai

📖 Readme: https://github.com/OpenPipe/ART#readme

📊 Statistics:
🌟 Stars: 6K stars
👀 Watchers: 35
🍴 Forks: 380 forks

💻 Programming Languages: Python - Jupyter Notebook - Shell

🏷️ Related Topics:

#agent #reinforcement_learning #rl #lora #llms #qwen #kimi_ai #agentic_ai #grpo #qwen3

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: chroma

📝 Description: Open-source search and retrieval database for AI applications.

🔗 Repository URL: https://github.com/chroma-core/chroma

🌐 Website: https://www.trychroma.com/

📖 Readme: https://github.com/chroma-core/chroma#readme

📊 Statistics:
🌟 Stars: 22.2K stars
👀 Watchers: 121
🍴 Forks: 1.8K forks

💻 Programming Languages: Rust - Python - TypeScript - Go - Jupyter Notebook - JavaScript

🏷️ Related Topics:

#rust #database #ai #embeddings #rust_lang #document_retrieval #rag #vector_database #llm #llms

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: humanlayer

📝 Description: HumanLayer enables AI agents to communicate with humans in tool-based and async workflows. Guarantee human oversight of high-stakes function calls with approval workflows across slack, email and more. Bring your LLM and Framework of choice and start giving your AI agents safe access to the world. Agentic Workflows, human in the loop, tool calling

🔗 Repository URL: https://github.com/humanlayer/humanlayer

🌐 Website: https://humanlayer.dev

📖 Readme: https://github.com/humanlayer/humanlayer#readme

📊 Statistics:
🌟 Stars: 1.3K stars
👀 Watchers: 8
🍴 Forks: 136 forks

💻 Programming Languages: TypeScript - Go - Python - CSS - Makefile - Shell

🏷️ Related Topics:

#ai #approval_process #agents #human_in_the_loop #escalation_policy #llm #llms #function_calling #agentic_workflow #agentic_ai #humanlayer #human_as_tool

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: transformerlab-app

📝 Description: Open Source Application for Advanced LLM + Diffusion Engineering: interact, train, fine-tune, and evaluate large language models on your own computer.

🔗 Repository URL: https://github.com/transformerlab/transformerlab-app

🌐 Website: https://transformerlab.ai/

📖 Readme: https://github.com/transformerlab/transformerlab-app#readme

📊 Statistics:
🌟 Stars: 3.9K stars
👀 Watchers: 31
🍴 Forks: 363 forks

💻 Programming Languages: TypeScript - JavaScript

🏷️ Related Topics:

#electron #transformers #llama #lora #diffusion #mlx #diffusion_models #llms #stability_diffusion #rlhf

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🧠 By: https://t.iss.one/DataScienceM

🤖🧠 How oLLM Makes Large-Context AI Models Run Smoothly on 8GB GPUs

🗓️ 11 Oct 2025
📚 AI News & Trends

Artificial intelligence has revolutionized the way we process information, analyze data, and automate complex tasks. With the rise of large language models (LLMs), AI capabilities have grown exponentially, enabling applications from natural language understanding to multimodal reasoning. However, running these models efficiently especially with massive context windows, remains a challenge due to their high memory ...

#oLLM #LargeContextAI #AIGPU #MachineLearning #LLMs #AIOptimization

🤖🧠 Try Powerful Mem0 AI to build Long-Term Memory for AI Agents

🗓️ 12 Oct 2025
📚 AI News & Trends

Artificial Intelligence has made incredible leaps in recent years from chatbots that converse naturally to AI agents capable of reasoning and decision-making. However, one major limitation has persisted: memory. Traditional large language models (LLMs) like ChatGPT or Claude can process vast data but fail to remember context across long interactions. This is where Mem0 AI, ...

#Mem0AI #AIAgents #LongTermMemory #ArtificialIntelligence #AIMemory #LLMs

🤖🧠 Ultimate OpenTSLM: Stanford’s Open-Source Framework Bridging LLMs and Medical Time-Series Data

🗓️ 13 Oct 2025
📚 AI News & Trends

In recent years, artificial intelligence (AI) has made remarkable strides in transforming healthcare. From medical imaging to patient monitoring systems, AI-driven solutions are reshaping how clinicians diagnose, treat and manage diseases. One of the most promising developments in this space is the integration of large language models (LLMs) with time-series data, a combination that holds ...

#OpenTSLM #LLMs #MedicalAI #TimeSeriesData #ArtificialIntelligence #OpenSourceFramework

🤖🧠 NVIDIA, MIT, HKU and Tsinghua University Introduce QeRL: A Powerful Quantum Leap in Reinforcement Learning for LLMs

🗓️ 17 Oct 2025
📚 AI News & Trends

The rise of large language models (LLMs) has redefined artificial intelligence powering everything from conversational AI to autonomous reasoning systems. However, training these models especially through reinforcement learning (RL) is computationally expensive requiring massive GPU resources and long training cycles. To address this, a team of researchers from NVIDIA, Massachusetts Institute of Technology (MIT), The ...

#QuantumLearning #ReinforcementLearning #LLMs #NVIDIA #MIT #TsinghuaUniversity

🤖🧠 Agentic Entropy-Balanced Policy Optimization (AEPO): Balancing Exploration and Stability in Reinforcement Learning for Web Agents

🗓️ 17 Oct 2025
📚 AI News & Trends

AEPO (Agentic Entropy-Balanced Policy Optimization) represents a major advancement in the evolution of Agentic Reinforcement Learning (RL). As large language models (LLMs) increasingly act as autonomous web agents – searching, reasoning and interacting with tools – the need for balanced exploration and stability has become crucial. Traditional RL methods often rely heavily on entropy to ...

#AgenticRL #ReinforcementLearning #LLMs #WebAgents #EntropyBalanced #PolicyOptimization

🤖🧠 The Art of Scaling Reinforcement Learning Compute for LLMs: Top Insights from Meta, UT Austin and Harvard University

🗓️ 21 Oct 2025
📚 AI News & Trends

As Large Language Models (LLMs) continue to redefine artificial intelligence, a new research breakthrough has emerged from Meta, The University of Texas at Austin, University College London, UC Berkeley, Harvard University and Periodic Labs. Their paper, titled “The Art of Scaling Reinforcement Learning Compute for LLMs,” introduces a transformative framework for understanding how reinforcement learning ...

#ReinforcementLearning #LLMs #AIResearch #Meta #UTAustin #HarvardUniversity

🤖🧠 The Art of Scaling Reinforcement Learning Compute for LLMs: Top Insights from Meta, UT Austin and Harvard University

🗓️ 21 Oct 2025
📚 AI News & Trends

As Large Language Models (LLMs) continue to redefine artificial intelligence, a new research breakthrough has emerged from Meta, The University of Texas at Austin, University College London, UC Berkeley, Harvard University and Periodic Labs. Their paper, titled “The Art of Scaling Reinforcement Learning Compute for LLMs,” introduces a transformative framework for understanding how reinforcement learning ...

#ReinforcementLearning #LLMs #AIResearch #Meta #UTAustin #HarvardUniversity

🤖🧠 AgentFly: The Future of Reinforcement Learning for Intelligent Language Model Agents

🗓️ 22 Oct 2025
📚 AI News & Trends

AgentFly is a cutting-edge framework developed by researchers at the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) to revolutionize how large language models (LLMs) learn and act. It combines the power of reinforcement learning (RL) with language model agents enabling them to go beyond static prompt responses and learn through real-time feedback and experience. ...

#ReinforcementLearning #LLMs #LanguageModelAgents #ArtificialIntelligence #AgentFly #AIFramework