🤖🧠 Build a Large Language Model From Scratch: A Step-by-Step Guide to Understanding and Creating LLMs

🗓️ 08 Oct 2025
📚 AI News & Trends

In recent years, Large Language Models (LLMs) have revolutionized the world of Artificial Intelligence (AI). From ChatGPT and Claude to Llama and Mistral, these models power the conversational systems, copilots, and generative tools that dominate today’s AI landscape. However, for most developers and learners, the inner workings of these systems remain a mystery until now. ...

#LargeLanguageModels #LLM #ArtificialIntelligence #DeepLearning #MachineLearning #AIGuides

🤖🧠 Ling-1T by inclusionAI: The Future of Smarter, Faster and More Efficient AI Models

🗓️ 09 Oct 2025
📚 AI News & Trends

Artificial Intelligence is evolving at lightning speed and inclusionAI’s Ling-1T is one of the most exciting innovations leading the charge. Built on the advanced Ling 2.0 architecture, Ling-1T is a trillion-parameter model designed to combine incredible reasoning power, speed and scalability in one open-source system. Image Source : Hugging Face Unlike many AI models that ...

#Ling1T #inclusionAI #ArtificialIntelligence #OpenSourceAI #LargeLanguageModels #AIArchitecture

🤖🧠 LLaMAX2 by Nanjing University, HKU, CMU & Shanghai AI Lab: A Breakthrough in Translation-Enhanced Reasoning Models

🗓️ 14 Oct 2025
📚 AI News & Trends

The world of large language models (LLMs) has evolved rapidly, producing advanced systems capable of reasoning, problem-solving, and creative text generation. However, a persistent challenge has been balancing translation quality with reasoning ability. Most translation-enhanced models excel in linguistic diversity but falter in logical reasoning or coding tasks. Addressing this crucial gap, the research paper ...

#LLaMAX2 #TranslationEnhanced #ReasoningModels #LargeLanguageModels #NanjingUniversity #HKU

🤖🧠 NanoChat: The Best ChatGPT That $100 Can Buy

🗓️ 20 Oct 2025
📚 AI News & Trends

In a world dominated by billion-dollar AI models like GPT-4 and Claude 3, it’s refreshing to see a minimalist, open-source alternative that puts the power of Large Language Models (LLMs) back into the hands of hackers, researchers and enthusiasts. Enter NanoChat – an end-to-end, full-stack implementation of a ChatGPT-style AI chatbot developed by Andrej Karpathy, ...

#NanoChat #ChatGPT #AI #LargeLanguageModels #OpenSource #AndrejKarpathy

🤖🧠 Mastering Large Language Models: Top #1 Complete Guide to Maxime Labonne’s LLM Course

🗓️ 22 Oct 2025
📚 AI News & Trends

In the rapidly evolving landscape of artificial intelligence, large language models (LLMs) have become the foundation of modern AI innovation powering tools like ChatGPT, Claude, Gemini and countless enterprise AI applications. However, building, fine-tuning and deploying these models require deep technical understanding and hands-on expertise. To bridge this knowledge gap, Maxime Labonne, a leading AI ...

#LLM #ArtificialIntelligence #MachineLearning #DeepLearning #AIEngineering #LargeLanguageModels

🤖🧠 Unlocking Creativity with Awesome ChatGPT Prompts: The Ultimate Guide for AI Enthusiasts

🗓️ 22 Oct 2025
📚 AI News & Trends

Artificial Intelligence has transformed how we create, communicate, and innovate and at the heart of this revolution lies prompt engineering. One of the most powerful tools in this domain is the “Awesome ChatGPT Prompts” repository – a growing collection of creative, technical and professional prompts designed for ChatGPT and other large language models like Claude, ...

#ChatGPT #PromptEngineering #AIEnthusiasts #ArtificialIntelligence #LargeLanguageModels #AICreativity

🤖🧠 Reinforcement Learning for Large Language Models: A Complete Guide from Foundations to Frontiers Arun Shankar, AI Engineer at Google

🗓️ 27 Oct 2025
📚 AI News & Trends

Artificial Intelligence is evolving rapidly and at the center of this evolution is Reinforcement Learning (RL), the science of teaching machines to make better decisions through experience and feedback. In “Reinforcement Learning for Large Language Models: A Complete Guide from Foundations to Frontiers”, Arun Shankar, an Applied AI Engineer at Google presents one of the ...

#ReinforcementLearning #LargeLanguageModels #ArtificialIntelligence #MachineLearning #AIEngineer #Google

🤖🧠 Kimi Linear: The Future of Efficient Attention in Large Language Models

🗓️ 08 Nov 2025
📚 AI News & Trends

The rapid evolution of large language models (LLMs) has unlocked new capabilities in natural language understanding, reasoning, coding and multimodal tasks. However, as models grow more advanced, one major challenge persists: computational efficiency. Traditional full-attention architectures struggle to scale efficiently, especially when handling long context windows and real-time inference workloads. The increasing demand for agent-like ...

#KimiLinear #EfficientAttention #LargeLanguageModels #LLM #ComputationalEfficiency #AIInnovation

🤖🧠 LMCache: Accelerating LLM Inference With Next-Generation KV Cache Technology

🗓️ 08 Nov 2025
📚 AI News & Trends

As large language models (LLMs) continue to scale in size and complexity, organizations face an increasingly critical challenge: serving models efficiently in real-world applications. While LLM capabilities are rapidly evolving, the bottleneck of inference performance remains a major limitation especially when dealing with long-context workloads or high-traffic enterprise environments. This is where LMCache steps in. ...

#LMCache #LLMInference #KVCache #LargeLanguageModels #AIAcceleration #NextGenTechnology

🤖🧠 Dify: A Powerful #1 Production-Ready Platform for Building Advanced LLM Applications

🗓️ 08 Nov 2025
📚 AI News & Trends

The rapid growth of AI has made large language models (LLMs) an essential component for automation, content creation, data intelligence and workflow optimization. But moving AI concepts from prototype to production has traditionally required significant engineering effort, infrastructure planning and model-orchestration expertise. Dify changes that entirely. Dify is an open-source platform designed to help developers, ...

#Dify #LLMApplications #ProductionReady #AIPower #LargeLanguageModels #OpenSourcePlatform

🤖🧠 vLLM Semantic Router: The Next Frontier in Intelligent Model Routing for LLMs

🗓️ 11 Nov 2025
📚 AI News & Trends

As large language models (LLMs) continue to evolve, organizations face new challenges in optimizing performance, accuracy and cost across various AI workloads. Running multiple models efficiently – each specialized for specific tasks has become essential for scalable AI deployment. Enter vLLM Semantic Router, an open-source innovation that introduces a new layer of intelligence to the ...

#vLLMSemanticRouter #LargeLanguageModels #AIScaling #ModelRouting #OpenSourceAI #LLMOptimization

🤖🧠 OpenAI Evals: The Framework Transforming LLM Evaluation and Benchmarking

🗓️ 16 Nov 2025
📚 AI News & Trends

As large language models (LLMs) continue to reshape industries from education and healthcare to marketing and software development – the need for reliable evaluation methods has never been greater. With new models constantly emerging, developers and researchers require a standardized system to test, compare and understand model performance across real-world scenarios. This is where OpenAI ...

#OpenAIEvals #LLMEvaluation #Benchmarking #LargeLanguageModels #AIResearch #ModelEvaluation

✨Unveiling Intrinsic Dimension of Texts: from Academic Abstract to Creative Story

📝 Summary:
Unveiling Intrinsic Dimension of Texts: from Academic Abstract to Creative Story
This study explores intrinsic dimension ID in large language models, revealing its independence from entropy and genre-specific stratification. Scientific texts show low ID, while creative/opinion writing exhibits hi...

🔹 Publication Date: Published on Nov 19

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.15210
• PDF: https://arxiv.org/pdf/2511.15210

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#IntrinsicDimension #LargeLanguageModels #NLP #TextAnalytics #DataScience

✨SR-GRPO: Stable Rank as an Intrinsic Geometric Reward for Large Language Model Alignment

📝 Summary:
This paper proposes stable rank, an intrinsic quality signal from LLM representations, to improve alignment without external supervision. Stable rank measures effective dimensionality and is used as a reward in SR-GRPO, boosting LLM performance on reasoning tasks.

🔹 Publication Date: Published on Dec 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.02807
• PDF: https://arxiv.org/pdf/2512.02807

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#StableRank #LLMAlignment #LargeLanguageModels #AIResearch #DeepLearning

✨Nex-N1: Agentic Models Trained via a Unified Ecosystem for Large-Scale Environment Construction

📝 Summary:
Training autonomous LLM agents requires scalable, high-quality interactive environments. The Nex ecosystem provides NexAU for complexity, NexA4A for diversity, and NexGAP for fidelity in environment construction. Nex-N1, trained using this infrastructure, outperforms SOTA models on agentic tasks.

🔹 Publication Date: Published on Dec 4

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.04987
• PDF: https://arxiv.org/pdf/2512.04987
• Github: https://github.com/nex-agi/Nex-N1

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#LLMAgents #LargeLanguageModels #AI #AISimulation #AIResearch

🤖🧠 Supervised Reinforcement Learning: A New Era of Step-Wise Reasoning in AI

🗓️ 23 Nov 2025
📚 AI News & Trends

In the evolving landscape of artificial intelligence, large language models (LLMs) like GPT, Claude and Qwen have demonstrated remarkable abilities from generating human-like text to solving complex problems in mathematics, coding, and logic. Yet, despite their success, these models often struggle with multi-step reasoning, especially when each step depends critically on the previous one. Traditional ...

#SupervisedReinforcementLearning #StepWiseReasoning #ArtificialIntelligence #LargeLanguageModels #MultiStepReasoning #AIBreakthrough

🤖🧠 CALM: Revolutionizing Large Language Models with Continuous Autoregressive Learning

🗓️ 23 Nov 2025
📚 AI News & Trends

Large Language Models (LLMs) such as GPT, Claude and Gemini have dramatically transformed artificial intelligence. From generating natural text to assisting in code and research, these models rely on one fundamental process: autoregressive generation predicting text one token at a time. However, this sequential nature poses a critical efficiency bottleneck. Generating text token by token ...

#CALM #ContinuousAutoregressiveLearning #LargeLanguageModels #AutoregressiveGeneration #AIEfficiency #AIInnovation

🤖🧠 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

✨Nemotron-Math: Efficient Long-Context Distillation of Mathematical Reasoning from Multi-Mode Supervision

📝 Summary:
Nemotron-Math is a new large mathematical reasoning dataset with diverse styles and Python tool integration, generated from gpt-oss-120b. It combines competition problems with real-world queries, achieving state-of-the-art performance and accelerating long-context training.

🔹 Publication Date: Published on Dec 17

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.15489
• PDF: https://arxiv.org/pdf/2512.15489

✨ Datasets citing this paper:
• https://huggingface.co/datasets/nvidia/Nemotron-Math-v2
• https://huggingface.co/datasets/nvidia/Nemotron-Math-Proofs-v1

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#NemotronMath #MathematicalReasoning #LargeLanguageModels #AIDataset #DeepLearning

✨When Reasoning Meets Its Laws

📝 Summary:
The Laws of Reasoning LoRe framework defines desired reasoning for Large Reasoning Models, focusing on compute and accuracy. A benchmark, LoRe-Bench, reveals models often lack compositionality, which a finetuning method improves for better performance.

🔹 Publication Date: Published on Dec 19

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.17901
• PDF: https://arxiv.org/pdf/2512.17901
• Project Page: https://lore-project.github.io/
• Github: https://github.com/ASTRAL-Group/LoRe

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#AI #LargeLanguageModels #Reasoning #MachineLearning #NLP