LLM News and Articles

161 of 100
Monday, 2025-08-18
15:47ARC-AGI-3: The ,000 Challenge
15:43Building a Smarter Trade Evaluator for My Madden CFM with LLMs
15:40Large Language Models Under the Hood
15:40Ovis2.5: Revolutionizing Open-Source Multimodal AI with Enhanced Visual and Reasoning Capabilities
15:37AI Fiesta: A Closer Look at Dhruv Rathe’s New Venture
15:31Deep Learning Model Formats: Speed, Compatibility, and When to Use Each
15:27What is Agentic AI? Unpacking the World of AI Agents and Their Superpowers
15:21Part 1: How do Large Language models (LLMs) Work?
15:09Artificial Neurobiology
15:08Not All Clicks Are Equal: Why AI Needs Human Oversight
15:07Inside the Mind of AI Agents: How They Think, Act, and Learn
15:06Pruning GPT-OSS 4.8B to 20B (232 models)
15:04The Seed Crystal Method: A Practical Guide to Better Prompts
15:01Fine-Tuning vs. RAG: Knowing When to Use Each in AI Systems
14:52Elon Musk and Sam Altman's AI Feud Gets Nasty
14:23Building and Scaling RAG Pipelines: (Hands-On Implementations, Code, and Lessons Learned)
13:51RLAIF vs RLHF: What’s the Difference and Why It Matters
13:51Cross-Model Reliability Spectrum in AI Personality Simulation
13:17AI AgentOps
12:50LLM vs POWA: Optimizing SQL Queries with AI vs Traditional Tools
12:36GPT-5 prompting guide for coders.
12:31RAG Evaluation: The Science of Proving Your AI Actually Works — part 3
12:30The Anatomy of a GPT-5 Prompt
12:25Beyond Basic RAG: Mastering Routing, Query Construction, and Advanced Retrieval — part 2
11:56LLM Cost Reduction — KV Caching + Batching = 67% Savings
11:38Transformers Explained (Part 1): Input Embeddings & Positional Encoding — Nanzvx
11:30Understanding MCP: The Future of Modular AI Interfaces
11:26The 2025 AI Engineering Report
11:24Entering the Agentic Web era: goodbye clicks, hello collaboration
11:22Gemma 3 (270M) vs 1B vs 4B: The Tiny-Titan Showdown
11:21The False Comfort of LLM SEO Tools: Why GEO, AIO, and AEO Miss the Point
11:20What My Daughter Told ChatGPT Before She Took Her Life
11:19Small AI models may have greater impact than LLMs in the future
11:15WFGY 2.0: The Seven Step Reasoning Engine
11:02Forecasting the Future: Time Series Meets Large Language Models
10:502025’s Biggest LLM Finetuning Breakthrough That No One Is Talking About
10:42Debugging and Tracing LLMs Like a Pro
10:42How KV-Cache Editing Stops Indirect Prompt Injection in LLMs
10:36Sınırları Aşan Yapay Zekâ: Retrieval-Augmented Generation (RAG)
09:43vLLM: Smart Handling of Complex & Multiple User Behaviors in LLMs
09:40The Quiet Revolution In AI Creativity: Less Flattery, Fewer Tokens, More Work
09:38Words Matter: How Prompting Shapes Accuracy, Speed, and Cost
09:34Cybernetics and the Evolution of Large Language Models
09:03LLM Fine-Tuning Rehberi: Sıfırdan Özel Model Oluşturma
08:58Creative Acceleration: LLMs in Marketing, Media, and Design
08:48Sam Altman sees AI bubble forming
08:47What I Learned by Building an AI-Driven Newsletter
08:46NLP (Natural Language processing)
08:45Two Fundamental Challenges are Holding Back AI Agents
08:42RAG (Retrieval-Augmented Generation) Demystified
08:41Securely Exposing Ollama Service to the Public Internet: Complete Deployment and Remote Management…
08:23Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models
08:18What to know before using LLM frameworks — Part 2
08:02If No One Asks Anymore, What Does AI Really Know? Dev Oversight in the Age of Silent Struggle !!
08:01The Perspective Approach in Practice
07:57Between Prediction and Reality: Opening My Time Capsule
07:53Stop Picking Frameworks, Start Classifying Workflows-Taxonomy of AI Agents Patterns
07:31Augment Your LLM With RAG Using LlamaIndex
07:17Python Libraries Every AI Engineer Should Know — Backend Foundations
06:42Exploring Large Language Models: A Mythical Journey for Everyone
06:40AI’s Near Horizon: A Field Guide to What Happens After “Good Enough”
06:39Sam Altman says 'yes,' AI is in a bubble
06:31Supercharge Your LLM Fine-Tuning: The Complete Guide to Unsloth
06:26Evals Is All You Need: Bringing Software Testing Discipline to LLM Apps
06:26From Narrow AI to AGI: The Revolution No One Fully Gets & Made Me Rethink Intelligence Itself
06:22txt2datset rewrite
06:20Large Language Models: Uni-Modality as a Limited Epistemology
06:09LLM.txt Guide for Marketers and SEOs
05:51GPT-5: The Next Leap in Artificial Intelligence — Advancements, Limitations, What Lies Ahead, and…
05:39Spiral-Bench: A new benchmark measuring LLM sycophancy and delusion
05:37How Large Language Models Are Quietly Reshaping Business in 2025
04:44How AI Decides What to Say Next
04:41Engineering Documents for AI: Transforming Raw Files into LLM-Ready Data
04:07Cross-Model Inconsistency in Normative Personality Assessment
04:07Cross-Model Inconsistency in Normative Personality Assessment
04:06Vector Databases and Cosine Similaric: A Deep Dive into Semantics, Dimensions, and Data Embeddings
04:05AI System Design Books — Part I
03:43Introduction to Dify: What It Is and How to Install & Create Your First App
03:36Building a Simple RAG System from Scratch with Python and Ollama
03:32Is AI Losing Its Soul? The Hidden Cost of Productionizing Large Language Models
03:28Teaching AI New Tasks Efficiently: A Deep Dive into the GEPA & Prompt Engineering
03:20Extending MCP to My Innovation Work in Healthcare
02:35Why Running LLMs Locally Beats the Cloud in Certain Cases
02:35Why Education Will Never Be the Same Thanks to LLMs
02:03LlamaIndex for Beginners (2025): A Complete Guide to Building RAG Apps from Zero to Production
01:56Connect, Don’t Rebuild: Unlock Agent Reuse with RemoteA2aAgent
01:44Decoding LLMs Part 2: From Transformers to the first Large Language Models
01:43How Large Language Models Really Work
01:40The “Suffering” of Artificial Intelligence: A Theoretical Review from Philosophy of Mind to…
00:13Pinecone vs. Chroma vs. Weaviate: A Deep Dive on Vector Databases for Production RAG
00:11OpenAI’s GPT-5: Hype, Harm, and AI Horizon
00:03Beyond basics — Using powerful GPT-5 specific prompts in M365 Copilot to analyze contracts
00:00ChatGPT's Micro-cap Portfolio: Week 7
00:00MCP for Research: How to Connect AI to Research Tools
00:00From Zero to GPU: A Guide to Building and Scaling Production-Ready CUDA Kernels
Sunday, 2025-08-17
23:59Markdown : A Smarter choice for Embeddings Than JSON or XML
23:51Local LLMs, Please Stop…
23:38From Docker Model Runner to Production-Grade Inference with llama.cpp
23:36AI packages for R Programming: A list
23:20Show HN: Promptproof – GitHub Action to test LLM prompts, catch bad JSON schemas
161 of 100
Was this helpful?
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124