LLM & Language Models 82

• Rnj-1 and Motif-2-12.7B: Why These Open-Source Models Are Reshaping the LLM Landscape Dec 11, 2025
• Writing Blogs with Multi-Agent Systems - A Production Framework for AI-Powered Content Creation Dec 1, 2025
• FARA 7B: Microsoft's Efficient Agentic Model for Computer Use - A Multi-Agent Perspective Nov 24, 2025
• Google DeepMind Introduces Nano Banana Pro: The Gemini 3 Pro Image Model for Text-Accurate and Studio-Grade Visuals Nov 23, 2025
• LLM Council: A Complete Architecture Analysis of Karpathy's Multi-Agent Deliberation System Nov 22, 2025
• Prompt Engineering with Multi-Agent Systems: Gemini API's Agentic Workflows and SI Template Nov 21, 2025
• Cognee: Building Persistent Memory for Multi-Agent Systems - Beyond RAG with Graph-Based Knowledge Nov 20, 2025
• Signal-Decision Architecture: Reshaping Semantic Routing at Scale Nov 19, 2025
• Gemini 3 and Multi-Agent Systems: A Comprehensive Guide to Building with Google's Most Intelligent AI Model Nov 18, 2025
• LLM Response Evaluation with Spring AI: Building LLM-as-a-Judge Using Recursive Advisors Nov 10, 2025
• Agents framework for LLM + AgentGen looks like a nice framework Aug 14, 2024
• Deploy an ML model 🧠 Aug 5, 2024
• 🤖 If you're looking to build agentic GenAI applications Aug 5, 2024
• Federated Learning, One way to solve for AI having difficulty making Aug 5, 2024
• Practical Implementation of Agentic RAG Workflows with Llama-Index and Qdrant Aug 5, 2024
• 🗞 LazyLLM looks like a super simple low-code open-source framework for building multi-agent applications Aug 4, 2024
• 🍎 Post-training in the Apple Intelligence paper Aug 3, 2024
• 🤩 𝐀𝐰𝐞𝐬𝐨𝐦𝐞-𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐋𝐋𝐌 Aug 3, 2024
• Struggling to Optimize Your RAG Setup? 😮 Aug 3, 2024
• 🔍 Unlocking the Power of RLHF in Large Language Models 🌟 Aug 3, 2024
• 💡 Accelerating LLMs by 2x with Graph-structured Speculative Decoding. Aug 3, 2024
• 😮😮 GPT-4, despite being one of the leading LLMs, struggles with long-context bilingual reasoning tasks. Even with text lengths shorter than 2K tokens!! Aug 3, 2024
• An introduction to LangChain and Agents is provided Jul 30, 2024
• Want to build your first 𝗟𝗟𝗠 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 but don't know where to start? Jul 30, 2024
• 𝐋𝐋𝐌2𝐕𝐞𝐜 - 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 𝐋𝐋𝐌𝐬 𝐢𝐧𝐭𝐨 𝐄𝐦𝐛𝐞𝐝𝐝𝐢𝐧𝐠 𝐌𝐨𝐝𝐞𝐥𝐬 Jul 29, 2024
• Introducing Llama 3.1 - the most capable LLMs from Meta, free and arguably open-source! Jul 29, 2024
• 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗗𝗮𝘁𝗮 𝗮𝗻𝗮𝗹𝘆𝘀𝘁, 𝗱𝗿𝗼𝗽 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮 𝗳𝗶𝗹𝗲, 𝗹𝗲𝘁 𝘁𝗵𝗲 𝗟𝗟𝗠 𝗱𝗼 𝘁𝗵𝗲 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀 📊⚙️ Jul 29, 2024
• A Survey on LLM-based Autonomous Agents Jul 29, 2024
• 𝗠𝗮𝗿𝗸 𝗭𝘂𝗰𝗸𝗲𝗿𝗯𝗲𝗿𝗴 𝗷𝘂𝘀𝘁 𝗮𝗻𝗻𝗼𝘂𝗻𝗰𝗲𝗱 𝘁𝗵𝗲 𝗚𝗣𝗧-𝟰 𝗸𝗶𝗹𝗹𝗲𝗿, 𝗟𝗹𝗮𝗺𝗮-𝟯.𝟭 💥 Jul 26, 2024
• Visualize your RAG Data — EDA for Retrieval-Augmented Generation. Jul 22, 2024
• 📚 "A Survey of Prompt Engineering Methods in Large Language Models" - LLM Jul 22, 2024
• The LLM Engineer's Handbook 👷 'Super proud to announce my new book' Jul 20, 2024
• 𝗥𝗼𝘂𝘁𝗲 𝘆𝗼𝘂𝗿 𝗾𝘂𝗲𝗿𝘆 𝘁𝗼 𝗮 𝘀𝗺𝗮𝗹𝗹𝗲𝗿 𝗟𝗟𝗠 𝘄𝗵𝗲𝗻 𝗽𝗼𝘀𝘀𝗶𝗯𝗹𝗲 Jul 20, 2024
• Introducing "ColPali, Efficient Document Retrieval with Vision Language Models" Jul 19, 2024
• 3 common methods for improving the performance of LLM👏 Jul 16, 2024
• 𝐍𝐞𝐰 𝐝𝐞𝐜𝐨𝐝𝐢𝐧𝐠 𝐭𝐞𝐜𝐡𝐧𝐢𝐪𝐮𝐞 𝐢𝐧 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐞𝐫𝐬 𝐬𝐢𝐠𝐧𝐢𝐟𝐢𝐜𝐚𝐧𝐭𝐥𝐲 𝐫𝐞𝐝𝐮𝐜𝐞𝐬 𝐡𝐚𝐥𝐥𝐮𝐜𝐢𝐧𝐚𝐭𝐢𝐨𝐧𝐬 👏 Jul 16, 2024
• Generative AI Application Ecosystem Jul 15, 2024
• 🕹️ NVIDIA introduces RankRAG 8B & 70B Jul 13, 2024
• 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐑𝐀𝐆 ✨ new cookbook Jul 13, 2024
• Alibaba presents FunAudioLLM Jul 12, 2024
• llama.cpp의 내부 구현을 분석하다가 ggml을 이용한 간단한 matmul 샘플을 구현 사례 고찰 Jul 12, 2024
• Choice of Vector Database significantly impacts the LLM application's performance. Jul 11, 2024
• GraphRAG is open source now! Jul 5, 2024
• Forget GPT-4o vs. Llama 3 Jul 4, 2024
• ❏ LLM101n, LLM AI 스토리텔러 구축하기 🛠️ Jun 30, 2024
• 🔊 Create your own LLM RAG application in just 3 days using this hands-on roadmap crafted from the best free resources! Jun 22, 2024
• 💡 CRAG (Comprehensive RAG) is a new RAG benchmark dataset Jun 22, 2024
• Tools for Building LLM Applications Jun 12, 2024
• 5 techniques to fine-tune LLMs, explained visually! Jun 10, 2024
• Microsoft's AgentEval seems like a promising tool to assist with this! Jun 9, 2024
• 🔉 Meta's latest "CoPE" (Contextual Position Encoding) Jun 5, 2024
• RAG or Fine Tuning? Fine-tune Embedding models for Retrieval Augmented Generation (RAG) Jun 5, 2024
• 🙌 Anthropic's latest tool-use course Jun 4, 2024
• The release of NVIDIA NIM on Hugging Face Inference Endpoints Jun 4, 2024
• 🌟 𝐋𝐋𝐌 𝐏𝐫𝐨𝐯𝐢𝐝𝐞𝐫'𝐬 𝐑𝐞𝐥𝐞𝐚𝐬𝐞 (2024 1H) & 📝 2024 𝐋𝐋𝐌 𝐒𝐮𝐫𝐯𝐞𝐲 (on Training / Data / RAG / Serving / Agent) May 30, 2024
• Game Development Course with AI May 30, 2024
• Game Development Course with Unity3D Programming May 29, 2024
• 🤗 NLP Course - Summary of Concept to Transformer from NLP May 29, 2024
• ScrapeGraphAI - LLM and Graph Powered Web Scraping Python Library 📚 May 27, 2024
• Scaling Monosemanticity by Anthropic (블랙박스 이해하기) May 27, 2024
• How can we further mitigate inference bottlenecks in large LLMs May 26, 2024
• What are the next big trends in LLM research? May 26, 2024
• Let's build multi-agent system May 26, 2024
• Is this the architecture of OpenAI GPT-4o? May 25, 2024
• Release Mistral-finetune Opensource May 25, 2024
• Hugging Face x AWS May 25, 2024
• Large Language Model Course May 24, 2024
• Hugging Face x Microsoft May 22, 2024
• Hugging Face x Unsloth May 20, 2024
• VectorEmbeddings are the backbone of AI/ML applications May 18, 2024
• Llama 3 implemented in pure NumPy May 18, 2024
• Llamma Finetune case 와 RLHF 정리 May 16, 2024
• Hugging Face x Langchain May 16, 2024
• GPT4o Release !! May 14, 2024
• LLM Course - Let's start to make Simple LLM! May 13, 2024
• LangChain and LlamaIndex to LLM Frameworks May 12, 2024
• Consistency Large Language Models May 12, 2024
• LLM 용어 꼭 알아 두어야 할 것들..! May 7, 2024
• LLM 사용하는 당근마켓 케이스 확인하기 May 6, 2024
• LLM Quantization May 5, 2024
• LLama Factory is one of the best Open-source tools May 1, 2024
• Little know gem the Open-source Cookbook Apr 17, 2024