LLM News and Articles
Monday, 2025-04-21 | ||||
22:54 | Como Construir um Data Agent com LLM, RAG, Banco Vetorial e Chunks: Um Guia Completo https://medium.com/@leandro-raposo/como-construir-um-data-agent-com-llm-rag-banco-vetorial-e-chunks-um-guia-completo-47f71fc97484 | |||
22:42 | Building LLMs from Scratch — Part 1: Concepts, Architecture, and Foundations https://aishwarya-chand.medium.com/building-llms-from-scratch-part-1-concepts-architecture-and-foundations-55db4bccfb3f | |||
22:25 | CLustering-based Iterative Data Mixture Bootstrapping: framework for Optimizing Data Mixture to… https://medium.com/@techsachin/clustering-based-iterative-data-mixture-bootstrapping-framework-for-optimizing-data-mixture-to-7daa2a7bd225 | |||
22:16 | Prompt Shaping: Measuring the Impact of Prompt Modifiers on Output Size and Format https://medium.com/@TheWake/prompt-shaping-measuring-the-impact-of-prompt-modifiers-on-output-size-and-format-9a53e06dccd6 | |||
22:08 | CLIMBing to Better Language Models: The Secret Sauce Behind Superior Pre-training Data https://medium.com/devdotcom/climbing-to-better-language-models-the-secret-sauce-behind-superior-pre-training-data-fe38b1934cc5 | |||
22:02 | Building GPT From First Principles: Code and Intuition https://pub.towardsai.net/building-gpt-from-first-principles-code-and-intuition-87b12ee0ec3d | |||
22:01 | From Prompt Chaos to Clarity: Why I Built PromptPilot https://codeglxy.medium.com/from-prompt-chaos-to-clarity-why-i-built-promptpilot-b33eb4ecab77 | |||
21:51 | The Wiring Behind Smart AI: MCP, A2A & Tool‑Calling — A Friendly Guide https://medium.com/@mayanksultania/the-wiring-behind-smart-ai-mcp-a2a-tool-calling-a-friendly-guide-8393603df428 | |||
21:46 | Making System Message Handling Declarative in AutoGen https://songchiyoung.medium.com/making-system-message-handling-declarative-in-autogen-ee2d832633a9 | |||
21:29 | Stop with the “AI agents vs agentic AI” debate https://medium.com/@mcunningham1440/stop-with-the-ai-agents-vs-agentic-ai-debate-39cd680e50ea | |||
21:03 | A brief history of Prompt Engineering https://medium.com/@yzhou1988/a-brief-history-of-prompt-engineering-cb7c7d7cd422 | |||
20:42 | AI-Powered SEO: Secrets to Skyrocketing Your Website https://medium.com/@ferreradaniel/ai-powered-seo-secrets-to-skyrocketing-your-website-a07926ea1a3e | |||
20:34 | What Is an Attention Mechanism? https://medium.com/latinxinai/what-is-an-attention-mechanism-e81cc39a9071 | |||
20:27 | Improving Real-Time UX with a Multi-Agent Architecture: Lessons from Shopper’s Concierge demo https://medium.com/google-cloud/improving-real-time-ux-with-a-multi-agent-architecture-lessons-from-shoppers-concierge-demo-51c466a11662 | |||
20:11 | We used sparse autoencoders to explain LLM moderation flags of violent threats https://www.variance.co/post/training-decision-trees-on-sae-outputs | |||
20:06 | Trust, Security, and the Model Context Protocol (MCP) https://medium.com/@fabiolalli/trust-security-and-the-model-context-protocol-mcp-06fd604684b5 | |||
19:41 | Exposing Hidden Biases in AI: Building BiasShield for Safer Generations https://medium.com/@myakalarajkumar1998/exposing-hidden-biases-in-ai-building-biasshield-for-safer-generations-13e37795160b | |||
19:32 | AI Agents in 2029: What’s coming (and what’s already here) https://medium.com/@luis.f.ortega.t/ai-agents-in-2029-whats-coming-and-what-s-already-here-80fdf47796d9 | |||
19:26 | Leveraging ASTs for LLM assisted source code manipulation https://medium.com/@g.maribsultan/leveraging-asts-for-llm-assisted-source-code-manipulation-f06bd2f58ea1 | |||
19:06 | Prompt Baking: Making Prompts Permanent in Language Models https://medium.com/@linz07m/prompt-baking-making-prompts-permanent-in-language-models-662a96092e90 | |||
19:05 | Ollama: Run Powerful LLMs on Your Own Machine in Minutes https://medium.com/@y.aaryan12/ollama-run-powerful-llms-on-your-own-machine-in-minutes-cd7e869f31e0 | |||
19:00 | A2A: A Better Option Over MCP? A Security Overview. https://medium.com/@amoghlakkanagavi/a2a-a-better-option-over-mcp-a-security-overview-07592fbf035b | |||
18:59 | How to Build a Team of 5 Agents Using Google ADK and Nebius (Llama and Nemotron) https://youtu.be/FYhKah8FpAg | |||
18:54 | A Detailed Comparison of all LLMs in 2025 - GPT vs Gemini vs DeepSeek vs LLaMA vs Claude and more https://medium.com/@aryadav.2810/a-detailed-comparison-of-all-llms-in-2025-gpt-vs-gemini-vs-deepseek-vs-llama-vs-claude-and-more-f54b576c77d4 | |||
18:40 | SpaceX, Palantir, and Anduril Lead Charge on Trump’s Ambitious “Golden Dome” Missile Defense System https://medium.com/@priyansh.singh.csibm26/spacex-palantir-and-anduril-lead-charge-on-trumps-ambitious-golden-dome-missile-defense-system-391d5595f12d | |||
18:13 | DeepSeek-R1: Can Open-Source RL Models Outthink Proprietary Giants? https://christiangrech.medium.com/deepseek-r1-can-open-source-rl-models-outthink-proprietary-giants-85a3d9af95e8 | |||
17:57 | Show HN: Open Codex – OpenAI Codex CLI with open-source LLMs https://github.com/codingmoh/open-codex | |||
17:30 | 5 Common Mistakes AI Engineers Make in Their First RAG. https://levelup.gitconnected.com/5-common-mistakes-ai-engineers-make-in-their-first-rag-b777baec76a9 | |||
16:44 | Search vs Synthesis: The Donut Hole Problem https://a9090z.medium.com/search-vs-synthesis-the-donut-hole-problem-b1f7a6667630 | |||
16:43 | MCP: All You Need to Know https://medium.com/@geoj5official/mcp-all-you-need-to-know-59da2649bd9b | |||
16:42 | A Multi-Stage Pipeline for Developing Specialized AI Reasoning Models https://medium.com/ai-simplified-in-plain-english/a-multi-stage-pipeline-for-developing-specialized-ai-reasoning-models-4a663336a225 | |||
16:42 | Local LLM inference – impressive but too hard to work with https://medium.com/@aazo11/local-llm-inference-897a06cc17a2 | |||
16:41 | Sleep-Time Compute: Beyond Inference Scaling at Test-Time https://arxiv.org/abs/2504.13171 | |||
16:36 | Show HN: Light like the Terminal – Meet GTK LLM Chat Front End https://github.com/icarito/gtk-llm-chat/ | |||
16:34 | Addressing Medical Hallucinations in AI: A Critical Examination https://medium.com/about-ai/addressing-medical-hallucinations-in-ai-a-critical-examination-0a6f90020c5f | |||
16:33 | We Built a Multi-Agent LLM That Makes Annotating Single-Cell Data Less Painful (Part 1) https://medium.com/@xie227/we-built-a-multi-agent-llm-that-makes-annotating-single-cell-data-less-painful-part-1-d39bea91b4c8 | |||
16:28 | Deconstructing “Attention Is All You Need” — A Deep Dive Into Transformers https://medium.com/@pranjalisherje/deconstructing-attention-is-all-you-need-a-deep-dive-into-transformers-c1cf0d748814 | |||
16:25 | Extracting Food prices from Google reviews https://medium.com/@jandegener/extracting-food-prices-from-google-reviews-22597e05366b | |||
16:24 | Mastering Prompt Design with Vertex AI — Core Tech Notes from My Google Skill Badge https://medium.com/@asinsayedali/mastering-prompt-design-with-vertex-ai-core-tech-notes-from-my-google-skill-badge-5f4314de649d | |||
16:23 | Development of Döner Kebap prices in Germany 2016–2025 [EN] https://medium.com/@jandegener/development-of-d%C3%B6ner-kebap-prices-in-germany-2016-2025-en-9ca0a097ee4e | |||
16:23 | Entwicklung der Dönerpreise in Deutschland 2016–2025 [DE] https://medium.com/@jandegener/entwicklung-der-d%C3%B6nerpreise-in-deutschland-2016-2025-de-60327a3815be | |||
16:16 | Are LLMs the new Lingua Franca? https://medium.com/@OriPekelman/are-llms-the-new-lingua-franca-8b0cf8cb6d8b | |||
16:16 | Real-Time Enrichment of Air Quality Data https://medium.com/@tspann/real-time-enrichment-of-air-quality-data-3ce670e4fc5b | |||
16:08 | Transforming Customer Interactions: Evolving IVR Systems for Enhanced Experiences https://medium.com/cvs-health-tech-blog/transforming-customer-interactions-evolving-ivr-systems-for-enhanced-experiences-73b12c7f5aea | |||
16:02 | DeepSeek R1: Pioneering Research and Engineering as a Competitor to Pure Scaling Approaches https://pub.towardsai.net/deepseek-r1-pioneering-research-and-engineering-as-a-competitor-to-pure-scaling-approaches-dba68bf81af2 | |||
15:57 | Why Using AI Without Understanding It Is Like Driving a Car Without Knowing What’s Under the Hood https://medium.com/@rajeshneupane7/why-using-ai-without-understanding-it-is-like-driving-a-car-without-knowing-whats-under-the-hood-cb22318634d0 | |||
15:57 | Camio Wins the 2025 AI Innovation Award for Visual Agents Transforming GRC https://blog.camio.com/camio-wins-the-2025-ai-innovation-award-for-visual-agents-transforming-grc-24af9de085ea | |||
15:49 | From Syntax to Semantics: How AI is Changing the Way We Code https://medium.com/@jainultrivedi55555/from-syntax-to-semantics-how-ai-is-changing-the-way-we-code-3b0abde003b6 | |||
15:49 | Google Succeeds with LLMs While Meta and OpenAI Stumble https://spectrum.ieee.org/large-language-models-2025 | |||
15:47 | Vibe coding https://medium.com/@acnithin/vibe-coding-c5bd19b8f7cd | |||
15:24 | Agent-to-Agent protocols: A story still being written! https://medium.com/mitb-for-all/agent-to-agent-protocols-a-story-still-being-written-e7e1ffbf3e80 | |||
15:22 | Microsoft’s BitNet 1.58B: The first open-source, native 1-bit LLM https://medium.com/@samarrana407/microsofts-bitnet-1-58b-the-first-open-source-native-1-bit-llm-2acd6c62898a | |||
15:06 | Top 15 Pioneering AI Research Institutions Across China and the US : Companies, Labs, and… https://medium.com/@joycebirkins/top-15-pioneering-ai-research-institutions-across-china-and-the-us-companies-labs-and-f07f5a495b63 | |||
15:05 | L’escalade des vulnérabilités : Les LLM dans le viseur des cybercriminels https://medium.com/@thibaut_ftn/lescalade-des-vuln%C3%A9rabilit%C3%A9s-les-llm-dans-le-viseur-des-cybercriminels-03685ce1e264 | |||
15:01 | From Black‑Box to Crystal‑Clear: My Hands‑On Guide to LLM Observability https://pub.towardsai.net/from-black-box-to-crystal-clear-my-hands-on-guide-to-llm-observability-b295e967316f | |||
14:56 | Embedding Explained https://medium.com/@aditya199427/embedding-explained-f6daa6b006a7 | |||
14:56 | Generative vs Agentic AI: From Magic Typewriters to Self-Driving Interns https://saiparvathaneni.medium.com/generative-vs-agentic-ai-from-magic-typewriters-to-self-driving-interns-bb7b8d7ea1b9 | |||
14:49 | LMMO: The Future of Visibility in an AI-Driven World https://vincenthunt.medium.com/lmmo-the-future-of-visibility-in-an-ai-driven-world-7c984135ab37 | |||
14:36 | LLM-powered tools amplify developer capabilities rather than replacing them https://matthewsinclair.com/blog/0178-why-llm-powered-programming-is-more-mech-suit-than-artificial-human | |||
14:08 | Gemini 2.5: The First LLM That Understands PDF Layouts https://www.sergey.fyi/articles/using-gemini-for-precise-citations | |||
12:29 | How We Stopped Fine-Tuning and Started Querying: Real-Time RAG with DeepSeek at Rast Mobile https://mehmetakifalp.medium.com/how-we-stopped-fine-tuning-and-started-querying-real-time-rag-with-deepseek-at-rast-mobile-35228825e65c | |||
12:26 | What Happens When AI Can See and Read? I Tested Gemini to Find Out https://medium.com/@basaltrock3/what-happens-when-ai-can-see-and-read-i-tested-gemini-to-find-out-5990ad88cb85 | |||
12:07 | 1 Bit’lik Devrim: BitNet b1.58 2B4T ile LLM Verimliliğinde Yeni Bir Çağ https://medium.com/@cenghanbayram35/1-bitlik-devrim-bitnet-b1-58-2b4t-ile-llm-verimlili%C4%9Finde-yeni-bir-%C3%A7a%C4%9F-19a1d6fc1ee8 | |||
12:06 | Google ADK: Simplifying the Complex World of Agent-Based AI https://generativeai.pub/google-adk-simplifying-the-complex-world-of-agent-based-ai-65261f46f01e | |||
12:02 | Rule-Based Validations for LLM Bond Portfolio Recommendations https://medium.com/@wmechem/rule-based-validations-for-llm-bond-portfolio-recommendations-ce3dd2a41f4f | |||
12:02 | Human in The Loop https://pub.towardsai.net/human-in-the-loop-024c9b6a4f88 | |||
12:00 | Tandem Transformers — Inference Efficient LLMs https://purav-patel.medium.com/tandem-transformers-inference-efficient-llms-bd3cbfabd19a | |||
11:32 | 100% Accurate AI Step-by-Step (Part One): BSD Neural Networks https://blog.cubed.run/100-accurate-ai-step-by-step-part-one-bsd-neural-networks-509d8b74f6b1 | |||
11:25 | The Negative Impact of LLMs on Software Developers: Erosion of Critical Thinking and… https://medium.com/@sadamkhan_41978/the-negative-impact-of-llms-on-software-developers-erosion-of-critical-thinking-and-b51595ec8b2a | |||
11:23 | GPT for Word. Use Reka Flash 3 for Creative Writing in Microsoft Word Locally (100% Private). https://medium.com/@gptlocalhost/gpt-for-word-use-reka-flash-3-for-creative-writing-in-microsoft-word-locally-100-private-8e6c52d6d1ac | |||
11:14 | DeepSeek Use Cases: The Ultimate AI Assistant https://medium.com/@aideepseekapkz/deepseek-use-cases-the-ultimate-ai-assistant-17f8a661e5e4 | |||
11:03 | Building Effective AI Agents: A Guide from Anthropic https://medium.com/accredian/building-effective-ai-agents-a-guide-from-anthropic-e66b533ff091 | |||
10:33 | How AI improved my Design Thinking https://medium.com/@rajklns1234/how-ai-improved-my-design-thinking-7f0a92d38a6a | |||
10:07 | Evaluate LLM workflows without end user traces https://tech-depth-and-breadth.medium.com/evaluate-llm-workflows-without-end-user-traces-ba095e93b0e8 | |||
10:07 | ️ Supercharging Restaurant Discovery with Gemini 2.5, MCP, and Open ADK https://medium.com/@fbkaba/%EF%B8%8F-supercharging-restaurant-discovery-with-gemini-2-5-mcp-and-open-adk-648b448497d6 | |||
10:05 | Are ChatGPT and co harming human intelligence? https://www.theguardian.com/technology/2025/apr/19/dont-ask-what-ai-can-do-for-us-ask-what-it-is-doing-to-us-are-chatgpt-and-co-harming-human-intelligence | |||
09:54 | L1: Fine-Tuning LLM Thinking Time for Peak Performance and Efficiency https://blog.gopenai.com/l1-fine-tuning-llm-thinking-time-for-peak-performance-and-efficiency-741d4abce609 | |||
09:46 | Basics of prompt engineering. https://consultkora.medium.com/basics-of-prompt-engineering-db683dfbf554 | |||
09:44 | Recursive Contextual Retrieval: A Next-Generation RAG Algorithm https://ai.plainenglish.io/recursive-contextual-retrieval-a-next-generation-rag-algorithm-f42a263ccfd3 | |||
09:34 | Exploring Ollama’s REST API https://medium.com/@gohar.i.shoukat/exploring-ollamas-rest-api-d94e6d41690e | |||
08:48 | Google releases Gemini 2.5 Flash: priced at only 1/10 of o4-mini https://ullyer.medium.com/google-releases-gemini-2-5-flash-priced-at-only-1-10-of-o4-mini-37d43860a08b | |||
08:46 | s1: How Stanford Achieved o1-Level LLM Performance with Just 1K Samples https://christiangrech.medium.com/s1-how-stanford-achieved-o1-level-llm-performance-with-just-1k-samples-dd794d10f109 | |||
08:45 | In previous articles, the author also introduced what MCP is and the advantages of MCP over… https://ullyer.medium.com/in-previous-articles-the-author-also-introduced-what-mcp-is-and-the-advantages-of-mcp-over-85858df0de9d | |||
08:34 | No configuration is needed to convert any FastAPI application to an MCP server! https://ullyer.medium.com/no-configuration-is-needed-to-convert-any-fastapi-application-to-an-mcp-server-4a443c6bb3ae | |||
08:32 | MCP Go:A framework for Go developers to build MCP tools! https://ullyer.medium.com/mcp-go-a-framework-for-go-developers-to-build-mcp-tools-93759b149ef6 | |||
08:30 | Beware! MCP Exposes “Tool Poisoning” Fatal Vulnerability, Your Sensitive Data and Operational… https://ullyer.medium.com/beware-mcp-exposes-tool-poisoning-fatal-vulnerability-your-sensitive-data-and-operational-1aa0a75d0bbd | |||
08:23 | Unlock the Power of Language: A Beginner’s Guide to Prompt Design in Vertex AI https://medium.com/@praks.jain7/unlock-the-power-of-language-a-beginners-guide-to-prompt-design-in-vertex-ai-229efa63fdd8 | |||
08:16 | Prompt Template Agent https://medium.com/@designbynattapong/prompt-template-agent-6b2dcff0e6d4 | |||
08:15 | How to Build Your Own AI Agent ? https://medium.com/@khushbu.shah_661/how-to-build-your-own-ai-agent-d8e04a4f4e7e | |||
08:15 | How to Build Your Own AI Agent ? https://medium.com/projectpro/how-to-build-your-own-ai-agent-d8e04a4f4e7e | |||
08:07 | Turn Claude into a Clinical Trial Search Assistant with BioMCP https://ckhuang2527.medium.com/turn-claude-into-a-clinical-trial-search-assistant-with-biomcp-77739ede99e0 | |||
08:07 | Implementing RAG: Application of OceanBase Database at CUSRI https://medium.com/@wpleonardo0537/implementing-rag-application-of-oceanbase-database-at-cusri-71a48fcd9828 | |||
07:48 | Stop Guessing, Start Optimizing: AutoPDL Unlocks Peak Performance for LLM Agents https://towardsdev.com/stop-guessing-start-optimizing-autopdl-unlocks-peak-performance-for-llm-agents-9068a5c3bf54 | |||
07:21 | From Idea to Image: How AI Turns Imagination Into Reality (And How You Can Too) https://medium.com/@nik.singh1208/from-idea-to-image-how-ai-turns-imagination-into-reality-and-how-you-can-too-48d84959d3ff | |||
07:14 | A Leap Toward Sustainable AI? BitNet b1.58 2B4T Microsoft’s 1-bit LLM https://kunalsuri.medium.com/a-leap-toward-sustainable-ai-bitnet-b1-58-2b4t-microsofts-1-bit-llm-f9979af749dd | |||
07:02 | A2A vs MCP: Understanding the Key AI Protocols Powering the Future of AI Agents https://medium.com/@divyanshbhatiajm19/a2a-vs-mcp-understanding-the-key-ai-protocols-powering-the-future-of-ai-agents-a0ed266ac5d4 | |||
06:54 | Can You Run ChatGPT-like Models on Your Own PC? https://medium.com/@karaaslansonay/can-you-run-chatgpt-like-models-on-your-own-pc-7d66cf5324e4 | |||
06:46 | Neural Networks Intuitions: 20. PaS Precision at Scale — Domain Specific Datasets On-Demand https://medium.com/analytics-vidhya/neural-networks-intuitions-20-pas-precision-at-scale-domain-specific-datasets-on-demand-a092c3b22cea | |||
06:34 | ReTool: A Tool-Augmented Reinforcement Learning Framework for Optimizing LLM Reasoning with Computational Tools https://www.marktechpost.com/2025/04/20/retool-a-tool-augmented-reinforcement-learning-framework-for-optimizing-llm-reasoning-with-computational-tools/ | |||
06:02 | Triton — GPU Programming for Neural Networks https://dhnanjay.medium.com/triton-gpu-programming-for-neural-networks-16271d729f78 |
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227