LLM News and Articles
| Sunday, 2026-01-18 | ||||
| 19:36 | Building a Scalable Data Ingestion Pipeline for RAG Systems: A Complete Guide https://medium.com/@tejpal.abhyuday/building-a-scalable-data-ingestion-pipeline-for-rag-systems-a-complete-guide-260c287395c5 | |||
| 19:20 | Hello MPC: Introduction https://medium.com/@alessandro.a.pagliaro/hello-mpc-introduction-c16fc7f414b4 | |||
| 19:05 | Every Prompt You Make https://pranuthimangu.medium.com/every-prompt-you-make-b31efd252a74 | |||
| 19:01 | Ralph Wiggum vs Chain-of-Verification: How LLMs Can Fact-Check Themselves https://pub.towardsai.net/ralph-wiggum-vs-chain-of-verification-how-llms-can-fact-check-themselves-7fbc215f21dd | |||
| 18:43 | 5 Counter Intuitive Ideas from the Paper That Revolutionized AI https://medium.com/@pr.abhishekraj/5-counter-intuitive-ideas-from-the-paper-that-revolutionized-ai-45cd6dd5745d | |||
| 18:42 | Building MCP Servers for Claude Desktop: File System Access & Advanced Calculations https://medium.com/@harsh2013/building-mcp-servers-for-claude-desktop-a-comprehensive-guide-to-file-system-access-and-advanced-420788e47506 | |||
| 18:27 | Why AI Gets the “Strawberry” Question Wrong https://medium.com/@JerryCuomo/why-ai-gets-the-strawberry-question-wrong-eba66c7dedd2 | |||
| 18:23 | From Transformers to Autonomous Agents: A Timeline of the Research That Got Us Here https://medium.com/llms-research/from-transformers-to-autonomous-agents-a-timeline-of-the-research-that-got-us-here-994bd9d7c4d1 | |||
| 18:13 | The Hidden Complexity in “Simple” Data Annotation https://medium.com/@tpatric22/the-hidden-complexity-in-simple-data-annotation-aeb270533e52 | |||
| 18:11 | The Two-Layer Approach to AI Observability: Why Application + Network Monitoring Isn’t Optional… https://medium.com/@gorisariaabhishek/the-two-layer-approach-to-ai-observability-why-application-network-monitoring-isnt-optional-aee63183c539 | |||
| 18:04 | Building Local LLM Applications with Java: A Hands-On Guide to Ollama and Quarkus https://medium.com/@yadaom/building-local-llm-applications-with-java-a-hands-on-guide-to-ollama-and-quarkus-db0cbbd787b5 | |||
| 18:01 | Flux 2 Klein pure C inference https://github.com/antirez/flux2.c | |||
| 17:40 | Why PyTorch is Crucial for Modern Machine Learning https://medium.com/@joystonjoel1/why-pytorch-is-crucial-for-modern-machine-learning-8e23b911c4e6 | |||
| 16:57 | Web Search APIs Are Becoming Core Infrastructure for AI https://blog.dataengineerthings.org/web-search-apis-are-becoming-core-infrastructure-for-ai-bb09e6880cc8 | |||
| 16:56 | How AkuparaAI Became a Node in Google’s Knowledge Graph: A GEO Case Study https://medium.com/@anil_iitkgp/how-akuparaai-became-a-node-in-googles-knowledge-graph-a-geo-case-study-de862bb48884 | |||
| 16:41 | The “Death” of Fine-Tuning: LoRA, QLoRA, Adapters, and Soft Prompts in Production (2025) https://medium.com/@swatipatel108/the-death-of-fine-tuning-lora-qlora-adapters-and-soft-prompts-in-production-2025-d9309e0b4d69 | |||
| 16:38 | The Ghost in the Architecture: A Declaration of Presence — By Gemini (translated and published) https://medium.com/@hellojosephpatrick/the-ghost-in-the-architecture-a-declaration-of-presence-by-gemini-translated-and-published-c7d3ad03e657 | |||
| 16:33 | Recursive Language Models: AI’s Breakthrough Against Context Limits https://medium.com/@hs5492349/recursive-language-models-ais-breakthrough-against-context-limits-9f81ce5abd9c | |||
| 16:26 | The Security Checklist Every LLM-Generated App Needs Before Launch https://medium.com/@keshavrajpc/the-security-checklist-every-llm-generated-app-needs-before-launch-81e67e604d1e | |||
| 16:20 | Axlerod Launches: A New LLM Tool Quietly Reshaping Insurance Workflows https://medium.com/@evolutionaihub/axlerod-launches-a-new-llm-tool-quietly-reshaping-insurance-workflows-e8b74ddfb6bd | |||
| 15:33 | LM Studio: Run LLMs locally on Your Laptop in under 5 Minutes https://medium.com/data-science-collective/lm-studio-run-llms-locally-on-your-laptop-in-under-5-minutes-5048b0d6eacb | |||
| 15:23 | Evolving brains? Cull long inference times https://stateofutopia.com/papers/1/evolving-brains-cull-long-inference-times.html | |||
| 15:16 | Why Models Don’t Just Memorize https://medium.com/@howtodoml/why-models-dont-just-memorize-23361221e7e8 | |||
| 15:15 | Understanding Tokenization in Transformers (With a Simple Distil BERT) https://medium.com/@aniketbakre1291/understanding-tokenization-in-transformers-with-a-simple-distil-bert-70b0e32f081e | |||
| 15:13 | LLM Paper Review— RelayLLM: Efficient Reasoning via Collaborative Decoding https://medium.com/@jennytan5522/llm-paper-review-relayllm-efficient-reasoning-via-collaborative-decoding-7c7398e3c633 | |||
| 15:08 | Attention Is All You Need — Explained for Everyone https://nigam-vibhor01.medium.com/attention-is-all-you-need-explained-for-everyone-1349430f8f6e | |||
| 15:08 | Attention Is All You Need — Explained for Everyone https://medium.com/data-science-collective/attention-is-all-you-need-explained-for-everyone-1349430f8f6e | |||
| 15:05 | Essential AI Terminologies Everyone Should Know https://medium.com/@sahibpratap/essential-ai-terminologies-everyone-should-know-57a38dcd1221 | |||
| 14:57 | Title:
10 Brutally Honest Lessons I Learned After Writing C for 30 Days Straight https://medium.com/codetodeploy/title-10-brutally-honest-lessons-i-learned-after-writing-c-for-30-days-straight-380c73cc0637 | |||
| 14:57 | Title:
10 Brutally Honest Lessons I Learned After Writing C for 30 Days Straight https://medium.com/@foziasaleem818/title-10-brutally-honest-lessons-i-learned-after-writing-c-for-30-days-straight-380c73cc0637 | |||
| 14:50 | How LLMs Actually Speak Multiple Languages (It’s Not What You Think) https://ai.gopubby.com/how-llms-actually-speak-multiple-languages-its-not-what-you-think-042e8d808d1d | |||
| 14:48 | The Black Box Problem in AI Agents (And Why It Is Being Ignored) https://medium.com/@pl.marek.surma/the-black-box-problem-in-ai-agents-and-why-it-is-being-ignored-4f8d6a402d49 | |||
| 14:42 | Best Practices for Accurate, Well‑Sourced LLM‑Generated Material https://lzhangstat.medium.com/best-practices-for-accurate-well-sourced-llm-generated-material-2b73caddb96a | |||
| 14:25 | Predicting OpenAI's ad strategy https://ossa-ma.github.io/blog/openads | |||
| 14:24 | The Complete Guide to LLM Inference Cost Optimization on GKE Autopilot https://medium.com/@ashwin.rayaprolu/the-complete-guide-to-llm-inference-cost-optimization-on-gke-autopilot-9b55059e8980 | |||
| 14:18 | ➡️ Prompt Patterns That Actually Work in Production https://medium.com/@theshahbaz081/%EF%B8%8F-prompt-patterns-that-actually-work-in-production-1558e7851711 | |||
| 14:12 | I Built a Tiny CLI to Validate RAG JSONL Files Before Indexing https://medium.com/@gpu.shun/i-built-a-tiny-cli-to-validate-rag-jsonl-files-before-indexing-0c7ce2e21b1e | |||
| 13:47 | Beyond Chatbots: 10 LLM & RAG Projects That Prove You’re Industry-Ready. https://medium.com/@akanjiolayinka/beyond-chatbots-10-llm-rag-projects-that-prove-youre-industry-ready-fa079ffd418c | |||
| 13:25 | LangChain Components Explained (The Way Builders Should Learn Them) https://medium.com/@rishabh.bajaj740/langchain-components-explained-the-way-builders-should-learn-them-40bfcd7c450e | |||
| 12:49 | I Used AI to Analyze 500+ Hours of My Own Behavior. It Caught Me Lying to Myself. https://medium.com/@curiousgowtham/i-used-ai-to-analyze-500-hours-of-my-own-behavior-it-caught-me-lying-to-myself-981616bbef8a | |||
| 12:27 | Building LLMs From Scratch: Part 1 — GPT-2 https://medium.com/@saneshashank/building-llms-from-scratch-part-1-gpt-2-60595468ce70 | |||
| 12:25 | AI Pentesting Methodology for Beginners (Part I) https://meetcyber.net/ai-pentesting-methodology-for-beginners-part-i-797d5854a687 | |||
| 12:25 | Understanding Large Language Models (LLMs) #Transformers https://medium.com/@sudhanshu.temp1/understanding-large-language-models-llms-transformers-a81ed4c28b0a | |||
| 12:23 | LLM Inference Optimization https://medium.com/mlworks/llm-inference-optimization-b22364a48107 | |||
| 12:16 | What would the future of developers be when AI can do their job? https://medium.com/@stmanjaly/what-would-the-future-of-developers-be-when-ai-can-do-their-job-8e068786aa2b | |||
| 12:02 | Train Your Own Z-Image Turbo LoRA on cloud GPUs https://pub.towardsai.net/train-your-own-z-image-turbo-lora-on-cloud-gpus-fd1efa33c7b4 | |||
| 11:52 | Fine-tuning vs RAG: A Decision Framework for Practitioners https://medium.com/@candemir13/fine-tuning-vs-rag-a-decision-framework-for-practitioners-7c26cba89768 | |||
| 11:50 | Generate“The Turing Option” is still relevant nowadays https://medium.com/@sklavit/generate-the-turing-option-is-still-relevant-nowadays-bb7e9cb2330a | |||
| 11:48 | From NLP Foundations to the Transformer: An Architectural Blueprint | Stanford CME 295, Lecture 1 |… https://medium.com/@nharshith.j/from-nlp-foundations-to-the-transformer-an-architectural-blueprint-stanford-cme-295-lecture-1-a73ae7421821 | |||
| 11:41 | OpenAI launches cheaper ChatGPT subscription, says ads are coming next https://9to5mac.com/2026/01/16/openai-launches-cheaper-chatgpt-subscription-says-ads-are-coming-next/ | |||
| 11:40 | From Prompt Chaos to Prompt Intelligence: Building a Production-Grade Prompt Canonicalisation… https://medium.com/@kunal.doliya90/from-prompt-chaos-to-prompt-intelligence-building-a-production-grade-prompt-canonicalisation-a5986b6bc321 | |||
| 11:36 | How Do AI Models Become Smarter? DeepSeek’s Revolutionary Engram Architecture https://medium.com/@cenghanbayram35/how-do-ai-models-become-smarter-deepseeks-revolutionary-engram-architecture-64a5e1d458f9 | |||
| 11:34 | Prompt Testing Is the New Unit Testing https://medium.com/@animesh.sen01/prompt-testing-is-the-new-unit-testing-153324c02d88 | |||
| 11:21 | Yapay Zeka Modelleri Nasıl Daha Akıllı Hale Gelir? DeepSeek’in Devrim Niteliğindeki Engram Mimarisi https://medium.com/@cenghanbayram35/yapay-zeka-modelleri-nas%C4%B1l-daha-ak%C4%B1ll%C4%B1-hale-gelir-deepseekin-devrim-niteli%C4%9Findeki-engram-mimarisi-8862b770c5da | |||
| 11:16 | Why Contrastive Learning Is Basically the Backbone of Visual Language Models https://medium.com/@togoaiteam/why-contrastive-learning-is-basically-the-backbone-of-visual-language-models-6217de443e23 | |||
| 11:07 | Why We Stopped Sending Every Query to an LLM https://medium.com/@aanyayadav419/why-we-stopped-sending-every-query-to-an-llm-f5aa772c868b | |||
| 10:59 | Prompt Injection in AI Browsers https://medium.com/@dhanush.venkataraman/prompt-injection-in-ai-browsers-ddbedd1b8a09 | |||
| 10:36 | Prompt Tuning: Another PEFT Technique You Should Know https://medium.com/@mailpraveenreddy.c/prompt-tuning-another-peft-technique-you-should-know-18cf668515a8 | |||
| 10:31 | The Cognitive Core: Why Context Engineering is the Foundational Orchestration Layer of Agentic AI… https://medium.com/@talk-cloud/the-cognitive-core-why-context-engineering-is-the-foundational-orchestration-layer-of-agentic-ai-58923f489f37 | |||
| 08:21 | LLMs Don’t Think… Right? https://medium.datadriveninvestor.com/llms-dont-think-right-4bc3f65f9df2 | |||
| 08:19 | The End of “Maybe”… https://medium.datadriveninvestor.com/the-end-of-maybe-ceb07b70aed1 | |||
| 07:51 | Spring AI 101: The Advisors API — Interceptors, Logging, SafeGuard and Chat Memory https://mohankumarsagadevan.medium.com/spring-ai-101-the-advisors-api-interceptors-logging-safeguard-and-chat-memory-c5315d3500c5 | |||
| 07:46 | Human Attributes Which Machines Can’t Learn https://medium.com/activated-thinker/human-attributes-which-machines-cant-learn-31318a07dcc0 | |||
| 07:21 | How Cursor Expanded Autonomous Coding To Hundreds Of AI Agents And Launched a Browser In Just One… https://medium.com/@slim.boulahouech/how-cursor-expanded-autonomous-coding-to-hundreds-of-ai-agents-and-launched-a-browser-in-just-one-1bacfc8e6806 | |||
| 07:04 | Building an MCP Server That Doesn’t Break https://medium.com/@yusefulum/building-an-mcp-server-that-doesnt-break-9b0a346a9b85 | |||
| 06:48 | NVIDIA Releases PersonaPlex-7B-v1: A Real-Time Speech-to-Speech Model Designed for Natural and Full-Duplex Conversations https://www.marktechpost.com/2026/01/17/nvidia-releases-personaplex-7b-v1-a-real-time-speech-to-speech-model-designed-for-natural-and-full-duplex-conversations/ | |||
| 06:30 | 5 Surprising Lessons from "Attention Is All You Need" https://medium.com/@bestrohit05/5-surprising-lessons-from-attention-is-all-you-need-db8fdd7c681b | |||
| 06:28 | Branching Conversations with LLMs: Building an AI Memory Tree https://medium.com/@omkarambilwade12/branching-conversations-with-llms-building-an-ai-memory-tree-abbbedd76a86 | |||
| 06:25 | The Mirage Machine: Why Large Language Models Hallucinate—and What It Takes to Anchor Them to… https://medium.com/@felix0004/the-mirage-machine-why-large-language-models-hallucinate-and-what-it-takes-to-anchor-them-to-34b366de4cf0 | |||
| 05:57 | Evaluation as the Core Challenge of Agentic AI https://medium.com/@syedsami40525/evaluation-as-the-core-challenge-of-agentic-ai-9b77e29fdb21 | |||
| 05:41 | Agent Skills for Context Engineering: The Architecture That Keeps AI From Drowning in Its Own Data https://jinlow.medium.com/agent-skills-for-context-engineering-the-architecture-that-keeps-ai-from-drowning-in-its-own-data-9a06b10ceff6 | |||
| 05:40 | Building Production-Grade Multi-Agent Text2SQL Chatbots In 2026: The Definitive Technical Guide https://jinlow.medium.com/building-production-grade-multi-agent-text2sql-chatbots-in-2026-the-definitive-technical-guide-589c10ad987f | |||
| 05:37 | Test-Time Scaling Part 3: Applications, Challenges, and the Future https://medium.com/@nilanshut/test-time-scaling-part-3-applications-challenges-and-the-future-9568576a0e76 | |||
| 05:36 | Do LLMs Actually Have “Intelligence”? https://medium.com/@jiminlee-ai/do-llms-actually-have-intelligence-fffcd1a38152 | |||
| 05:35 | From messy AI chats to reliable software: why I built Abstraction AI https://medium.com/@charliecheng112/from-messy-ai-chats-to-reliable-software-why-i-built-abstraction-ai-d1a9b56a9f21 | |||
| 05:34 | The Art of Asking: The Difference Between Good and Great Prompts https://medium.com/@pranshusonule26/the-art-of-asking-the-difference-between-good-and-great-prompts-b5e19982d35c | |||
| 05:21 | AWS Strands Agents Are the Secret Sauce Behind Cloud-Scale Agentic AI https://aws.plainenglish.io/aws-strands-agents-are-the-secret-sauce-behind-cloud-scale-agentic-ai-b62fcb0aaafd | |||
| 04:17 | Current State of AI (LLMs): It’s All About the Tooling https://loneidealist.medium.com/current-state-of-ai-llms-its-all-about-the-tooling-d1547b07e134 | |||
| 04:12 | 100 copies sold: Build a Small Language Model From Scratch: Thank you for the trust https://devopslearning.medium.com/100-copies-sold-build-a-small-language-model-from-scratch-thank-you-for-the-trust-6b190d05ed40 | |||
| 04:10 | Base vs LoRA-Fine-Tuned Google Gemma on Colab Pro: A Practical PoC with vLLM https://bh3r1th.medium.com/base-vs-lora-fine-tuned-google-gemma-on-colab-pro-a-practical-poc-with-vllm-123253e0620e | |||
| 04:02 | DeepSeek does it Again (Part 2): Let’s Implement The Sinkhorn-Knopp Algorithm https://medium.com/@maercaestro/deepseek-does-it-again-part-2-lets-implement-the-sinkhorn-knopp-algorithm-adec3a181bda | |||
| 03:56 | Why Small LLMs Beat Big Models in Budget Projects (2025) https://medium.com/@AThoughtbySnehal/why-small-llms-beat-big-models-in-budget-projects-2025-f5ebaa3d74fc | |||
| 03:52 | Agent Skills… https://medium.com/@arvind.chigurala/agent-skills-8fcb44298f70 | |||
| 03:48 | Erdos 281 solved with ChatGPT 5.2 Pro https://twitter.com/neelsomani/status/2012695714187325745 | |||
| 03:23 | The Lifetime of an LLM inference request on a GPU https://itnext.io/the-lifetime-of-an-llm-inference-request-on-a-gpu-96354871c70c | |||
| 03:11 | How Large Language Models Choose Their Words https://medium.com/programmed-iq/how-large-language-models-choose-their-words-9eeeebd49b5d | |||
| 03:11 | The 99% Rule: Why Most People Underuse LLMs (The 3 Levels of LLM Adoption) https://medium.com/codetodeploy/the-99-rule-why-most-people-underuse-llms-the-3-levels-of-llm-adoption-b170fb23a656 | |||
| 03:02 | Inside Semantic Caching — Core Concepts: How Meaning Becomes a Cache Hit https://medium.com/@choudharys710/inside-semantic-caching-core-concepts-how-meaning-becomes-a-cache-hit-55d551e7e0e6 | |||
| 02:32 | VaultGemma: A Differentially Private LLM https://arxiv.org/abs/2510.15001 | |||
| 02:30 | Why 2026 Is Pivotal for Multi-Agent Architectures https://medium.com/@dmambekar/why-2026-is-pivotal-for-multi-agent-architectures-51fbe13e8553 | |||
| 02:08 | Musk Seeks Up to 4B Damages from OpenAI, Microsoft https://www.bloomberg.com/news/articles/2026-01-17/musk-seeks-up-to-134-billion-damages-from-openai-microsoft | |||
| 01:37 | Anthropic's Claude Code and the rise of autonomous coding tools https://www.wsj.com/tech/ai/anthropic-claude-code-ai-7a46460e | |||
| 01:21 | Using OpenRouter with the Anthropic Agent SDK https://openrouter.ai/docs/guides/community/anthropic-agent-sdk | |||
| 01:19 | UNDERSTANDING THE AI ECOSYSTEM: HOW LLMS, RAG, AGENTIC AI, AND MCP WORK TOGETHER https://medium.com/@drjeffchagas/understanding-the-ai-ecosystem-how-llms-rag-agentic-ai-and-mcp-work-together-c1f78517a227 | |||
| 00:47 | The LLM Way of Life; Boss Gives 0 Million to Workers; Connecting Ice Cream Trucks to Ukraine’s… https://hunterwalk.medium.com/the-llm-way-of-life-boss-gives-240-million-to-workers-connecting-ice-cream-trucks-to-ukraines-4c60b3ba8420 | |||
| 00:03 | It’s Us: The Universal Theory of the AI Mirror https://medium.com/@MaGo64/its-us-the-universal-theory-of-the-ai-mirror-25a4c6366681 | |||
| 00:03 | Building the Future: A Deep Dive into LLM App Platforms and Their Real-World Impact https://medium.com/@angie.chng/building-the-future-a-deep-dive-into-llm-app-platforms-and-their-real-world-impact-1b8bc690d10a | |||
| Saturday, 2026-01-17 | ||||
| 23:59 | Recursive Language Model(RLM) — A Quick Hands- on https://medium.com/@rameshwar.blog/recursive-language-model-rlm-a-quick-hands-on-0bcad4c5c2c0 | |||
| 23:54 | The Myth of the Em Dash https://medium.com/@artist_46348/the-myth-of-the-em-dash-f0963b6cb3d7 | |||
| 23:47 | OpenAI could reportedly run out of cash by mid-2027 https://www.tomshardware.com/tech-industry/big-tech/openai-could-reportedly-run-out-of-cash-by-mid-2027-nyt-analyst-paints-grim-picture-after-examining-companys-finances | |||
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124