LLM News and Articles

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Monday, 2025-08-11
06:16India’s AI leadership: Potential to Leadership
06:11A ChatGPT Pro subscription costs 38.6 months of income in low-income countries
05:21Introducing GPT-5 — a technical deep dive
05:07Using LoRA and PEFT for Lightweight Adaptations in Generative AI: A Beginner-Friendly Guide
05:03How I vibecoded a 3D Domino's Pizza Maker
04:41From Chaos to Structure: How LangExtract Transforms Unstructured Text into Gold
04:35Why agentic architecture is finally achievable in 2025
04:18The GPT-5 Revolution: Inside OpenAI’s Smartest, Most Honest AI Yet
03:57Building a Multimodal Agentic Application with Kimi K2: Step-by-Step Guide[1/3]
03:42Security Researchers Cracked GPT-5
03:30Accelerating LLM Response Times: Complete Guide with Proven Techniques, Case Examples & Further…
03:24Setting Up a Tinkering Space for LangChain.js
03:21Training AI Agents to Write and Self-correct SQL with Reinforcement Learning
03:17Show HN: UwU – Generate CLI commands inline with GPT-5
02:50Topic 6: Bias in, Bias Out: The Strategic Security Implications of Unfair LLM Outputs
02:33Building MarketPulse: My First Step Towards an AI-Powered Stock Insights Tool
01:35From Google Docs to Genius: Why Gemini Deserves Your Attention
01:08Here’s my thoughts about the release dates of GPT 5 and Opus 4.1
01:00Talk to your Data with LLMs and Azure
00:41YC RFS 2025: What’s Changing and How to Play It
00:13The day Chat GPT-5 launched, I subscribed to Claude
Sunday, 2025-08-10
23:39I Asked Zhipu AI Why It Should Even Exist
23:39I Asked Zhipu AI Why It Should Even Exist
23:35MCP — Model Context Protocol
23:15How to Train Your LLM
22:37Prompting for Self-Consistency
22:33The Progress of LLM Architecture’s
22:21From Portal to VS Code: Setting Up Azure AI Foundry for Local Development
22:18Nove vezes feliz Dia dos Pais.
22:07CognitoEDA
21:40Why Generative AI Hallucinates: It Predicts What Sounds Right, Not What’s True
21:08Generate Once, Train Many: Implementing GRPO’s Efficient Sampling from Scratch
21:06Will LangExtract Redefine How We Extract Data, or Fall Short of the Hype?
20:51Writing Prompts That Don’t Hallucinate in 2025
20:48Intro to LLMs
20:45AI Weekend Projects That Slash Repetitive Work
20:40Why Vibe Coding Isn’t the AI Utopia You Think It Is
20:39The Three Pillars of AI Agents: Context, Cognition, and Action
20:38LLM Decoding Strategies
20:12PipeRAG Explained: How Adaptive Pipeline Parallelism Makes RAG 2.6× Faster
20:02Brilliance in the Dark: Decoding the Secrets of AI’s Black Box
20:01GPT-5 Pushes Vibe Coding Beyond My Wildest Dreams
19:45Understanding reinforcement learning for model training from scratch
19:45Understanding reinforcement learning for model training from scratch
19:43Key Insights from the GPT-5 System Card
19:31Top 10 LangChain Components You’re Not Using
19:29GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models
18:37All Data and AI Weekly #202 11-Aug-2025
18:33Agentic Retrieval-Augmented Generation: Moving Beyond Simple RAG Pipelines
18:31LLMs and Files: Balancing Technical Limits with Real-World Risks
18:21How GPT-5 compares to o3, o4-mini and o4-mini-high
18:20Turn Your Local LLM into ChatGPT with Open WebUI
18:18Your Frontend Career in the AI Era: A Strategic Roadmap for Success
18:00I tried to write a novel with AI. It didn’t go well.
17:57AI Needs to Be More Psychologically Responsible
17:08AI Agents of the Week: Papers You Should Know About
16:53OpenAI brings GPT-4o back online after users melt down over the new model
16:45Chaining AI Models with LangChain: The Workflow That Blew My Mind
16:35Vocabulary Parallelism for More Efficient LLMs
16:35VsCode Continue, Claude and Github Copiolot MCP Document Server
16:33Asimovian Alignment
16:30Mastering Sequential Agents in ADK: Building Step-by-Step Workflows with Sub-Agent…
16:25Why Chat GPT-5 Felt ‘Dumber’: Model Routing, Explained — and Why Every AI User and Enterprise…
16:23GPT-5: It just does stuff
16:16Show HN: Llmswap – Python package to reduce LLM API costs by 50-90% with caching
16:01LLMs
15:59Decoding LLMs Part 1: Building Blocks, Attention and Transformers
15:58How I’m Learning Machine Learning and AI
15:49About Salesforce’s Agentforce
15:47Processing Unstructured Data (PDFs, Images, etc.) in Snowflake Using LLMs
15:31LLM-Powered Auth: I Used GPT to Explain, Validate, and Log My API Access Rules
15:20Why Prompt Injection Still Works
15:16Deploying OpenAI’s GPT-OSS model on Kubernetes with Ollama
15:14The Mind-Bending Truth About How AI Actually “Thinks” (And Why It’s Nothing Like You’d Expect)
15:14Epistemic Humility and Metacognition
15:13Applying Reinforcement Learning (RL) to two private-domain NLP tasks
15:10How to Give Your RTX GPU Nearly Infinite Memory for LLM Inference
15:07Automatically Reduce Incorrect Responses in Any LLM Agent
15:06GPT-OSS vs. Qwen3 and a detailed look how things evolved since GPT-2
15:02Why Context Engineering matters more than Prompting alone
14:58Stop Reading, Start Experimenting: RAG Experimentation Tool
14:37Generative AI and Large Language Models: A Beginner’s Complete Guide
13:33RAG pipeline from documents to retrieved context and model answer.
12:43Korelasyonu Anlamak Kovaryanstan Geçer
12:42Ollama vs vLLM: Quick Guide for QA Engineers
12:33GPT for Word. Offline and Private. Use OpenAI’s gpt-oss-20b in Microsoft Word.
12:31Last week in AI was crazy / GPT-5
12:28Retrieval-Augmented Generation (RAG): How AI Grounds Itself in Fact
12:28Open-Source AI and Developer Innovation: Democratizing the Future of AI Development
12:08The Rise of Semantic Entity Resolution
12:05OpenAI GPT-OSS models use MXFP4 to cut inference costs
12:01OpenAI finally releases new open-source LLMs
11:52Achieving 10,000x training data reduction with high-fidelity labels
11:50Mixture-of-Agents (MoA): Improving LLM Quality through Multi-Agent Collaboration
11:45When LLM Meets Reality: 8 Hard Truths About LLMs in Production
11:25Invisible Eyes: How AI Secretly Tracks You Without Ever Seeing Your Face
11:25️ Building a Weather Agent with LangGraph, Chainlit & MCP: Your First Modular AI Tool
11:25The Hidden Engineering Choices Behind GPT-OSS’s “Overnight” Success
11:23The LLM Lie: Why Large Language Models CAN’T Solve Time Series.
11:18From Rummikub to AI tools: the magic of making pieces fit
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124