🤖🧠 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

📌 TDS Newsletter: The Theory and Practice of Using AI Effectively

🗂 Category: THE VARIABLE

🕒 Date: 2025-11-06 | ⏱️ Read time: 3 min read

This newsletter delves into the effective application of emerging AI technologies, specifically focusing on LLM applications. It guides readers beyond the initial excitement of new tech, bridging the gap between theoretical knowledge and practical, impactful implementation. The content emphasizes a strategic approach to adopting and utilizing AI tools, ensuring they are used effectively in real-world scenarios rather than being a passing trend.

#AI #LLMs #AIStrategy #TechAdoption

📌 LLM-Powered Time-Series Analysis

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-11-09 | ⏱️ Read time: 9 min read

Explore the next frontier of time-series analysis by leveraging the power of Large Language Models. This article, the second in a series, delves into practical prompting strategies for advanced model development. Learn how to effectively guide LLMs to build more sophisticated and accurate forecasting and analysis solutions, moving beyond basic applications to unlock new capabilities in this critical data science domain.

#LLMs #TimeSeriesAnalysis #PromptEngineering #DataScience #AI

📌 LLMs Are Randomized Algorithms

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-11-13 | ⏱️ Read time: 18 min read

A surprising link has been drawn between modern Large Language Models and the 50-year-old field of randomized algorithms. This perspective reframes LLMs not just as complex neural networks, but as a practical application of established algorithmic theory. Viewing today's most advanced AI through this lens offers a novel framework for analyzing their probabilistic nature, behavior, and underlying operational principles, bridging the gap between cutting-edge AI and foundational computer science.

#LLMs #AI #RandomizedAlgorithms #ComputerScience #MachineLearning

🤖🧠 How to Run and Fine-Tune Kimi K2 Thinking Locally with Unsloth

🗓️ 11 Dec 2025
📚 AI News & Trends

The demand for efficient and powerful large language models (LLMs) continues to rise as developers and researchers seek new ways to optimize reasoning, coding, and conversational AI performance. One of the most impressive open-source AI systems available today is Kimi K2 Thinking, created by Moonshot AI. Through collaboration with Unsloth, users can now fine-tune and ...

#KimiK2Thinking #Unsloth #LLMs #LargeLanguageModels #AI #FineTuning