LLM News and Articles

140 of 100
Tuesday, 2025-05-06
20:32Are We Being Domesticated By AI?
20:208 Super Useful AI Websites You’ll Wish You Knew Sooner!
20:14Reference Architecture for AI Developer Productivity
20:01Build your own AI Companion Platform in a Weekend (Could actually monetize it)
19:34Having MCP, Do We Still Need APIs?
19:31From Documents to Datasets: Mastering Meta’s Synthetic Data Kit
18:54How Prompt Tuning, Prefix Tuning, and Soft Prompts Really Differ
18:22WhatsApp Chat Analyzer: Building a Data Visualization Dashboard with Streamlit
18:19ChatGPT's hallucination problem is getting worse and nobody understands why
18:15Microscopic Turing tests
17:42AI-TLS — The Emotional Safety Protocol That AI Needs Now
17:41Prompt Engineering vs RAG vs Finetuning — Thala Style!
17:362025 LLM App Stack
17:31Context Augmented Generation: Enhancing LLMs with Ollama, Gemma 3, and Open WebUI
17:06Fake News Travels 6X Faster : But This AI Framework Could Stop It in Seconds
16:51How I Fired Copilot and Hired a Local LLM in VS Code (for “Free as in beer” !)
16:42The Hierarchical Small Navigable World Algorithm: Scaling Search in Complex Networks
16:28AI Is Getting Smarter, But Can Anyone Trust It?
16:25Retrieval Augmented Generation (RAG) with Vector Search — A Starting Point for Agentic Applications
16:23Show HN: HalluMix – A Benchmark for Real-World LLM Hallucination Detection
16:16How to Build a Simple MCP Server?
16:16Large Language Models (LLMs) and the Transformer Architecture: A Deep Dive
16:02Implementing RAG from Scratch Using Hugging Face Transformers and FAISS
16:00Top 5 Courses to Learn LangChain and Build AI-Powered Apps in 2025
15:31Comparing LLM Agent Frameworks: LangGraph vs AutoGen vs CREW AI (Part I
15:13Building RAG Applications with Cortex AI
15:02TAI #151: ChatGPT’s Sycophancy Saga & OpenAI’s Nonprofit Reversal
14:59Large Language Models: What Ethics Are Destined to Rule the World?
14:43Parallel LLM Calls from Scratch — Tutorial For Dummies (Using PocketFlow!)
14:35BitReview: AI-Powered Code Reviews That Save Your Bacon.
14:28What if LLMs could think without words?
14:16Supercharge Your LLM Deployments: Quantization, LoRA, and Lightning-Fast Inference
14:13QueryMind: Conversational AI for Data Processing to Dashboards
14:13Day 3: ️ Fine-tuning AI Models — When Prompting Isn’t Enough
14:09Cortex Prompt Template Runner
13:36What is a Transformer Model? Explained in 4 Minutes
13:07BloombergGPT: The First Large Language Model for Finance [2023]
12:51Skewed Pre-training, Skewed Behavior
12:51Large Language Models (LLMs): Why Bigger Isn’t Always Better
12:48The Secret Equation Behind COMET’s Rise: Can Google Compete When Users Want Trust Over Links?
12:42From SPL tokens to LLM tokens: how Crypto led me to AI
12:39The Dark Side of Agentic AI: 6 Threats that Can Derail Your AI Projects
12:20Prompt Design in Vertex AI — My First Step into Generative AI on Google Cloud!
12:18OpenAI reaches agreement to buy Windsurf for around B
12:02Should Banks Build their Own LLMs?
12:02Model Context Protocol (MCP) Explained: From AI Integration Chaos to Seamless Connectivity
11:5125 Types of RAG — Which One Fits Your Project Best?
11:5125 Types of RAG — Which One Fits Your Project Best?
11:41Peeking Inside the AI’s Mind
11:40Why I Ditched ChatGPT Plus for the OpenAI API (ChatGPT VS OpenAI API)
11:37ChatGPT Hyphen Causing Issues?
11:27AI and StackOverflow, The Changing Landscape of Developer Support
11:13Understanding Self-Attention in Transformers: From Basics to Mastery
11:08Next-Level Document Extraction with This Iterative Refinement Trick!
11:01[5 AI Papers] Deception, Reasoning, and Self-Improvement in LLMs
11:01Retrieving information with Azure AI Search
10:53Practical Ways to Use MCP: Booking Flights and Hotels with Claude and Node.js
10:52Hey LLM, can you be faithful ? Thanks
10:43Building an AI-Powered Slackbot for Incident Classification Using Amazon Bedrock (Claude 3)
10:21Model routing with reasoning queries in Arcee Conductor
08:11Local Logic, Global Models: How Banks Are Training LLMs to Respect Country-Specific Regulatory…
07:57Agents & LLMs in a Snap: A Visual Introduction
07:57Agents & LLMs in a Snap: A Visual Introduction
07:56GPT-4o Is a Sycophant
07:55Containerizing AI Models: The Why and How for Scalable Deployments
07:22Your AI Answers Too Quickly. It’s Not Helping You Think.
07:19How does RAG actually work — and where does it add the most value in GenAI applications?
07:16LangChain From Scratch — Part 1: What is LangChain, Why You Need It, and How It Can Supercharge…
07:16How to improve mathematical skills with AutoGen Agents
07:08Gemini 1.5 Pro for Intelligent Flight Disruption Management
07:06Peeling More Layers of LLMs: Evaluation, Benchmarks & Hugging Face
06:58The Future of AI: How MCP Is Changing the Game
05:52Controlling your LLM: Deep dive into Constrained Generation
05:40Mastering the Art of Prompting: The Most In-Demand AI Skill of 2025
05:40Unpacking Meta’s Llama 4: Revolutionary Native Multimodality and Groundbreaking Architecture
05:26Qwen3: The Next Evolution in Open Source Large Language Models
05:11How We Outperformed Modern GPT Models Using GPT-2 Small on Reasoning Tasks
04:50From Neural Networks to Generative AI and LLMs: My 25-Year Journey in Artificial Intelligence
04:48Microsoft Is Key Holdout for OpenAI Restructuring Plan
04:32LLMs vs Human Brain
04:31How I Evaluated LLM Outputs with LangChain (Without Overcomplicating It)
04:13Orchestrating AI: How I Built a Framework to Make AIs Collaborate—and Found My Creative Voice
04:06From Beginner to AI/ML Pro in 2025: The Step-by-Step Roadmap that Gets You Hired
04:03I Built an AI Tool That Turns Any Python Code Into an Emotionally Engaging Blog Post
04:00Highlights from WiDS TLV 2025
03:59Fine-Tuning Qwen3 with Reasoning using Unsloth
03:58Tokens, Not Words: How AI Breaks Down Language
03:56OpenAI agrees to buy Windsurf for about B
03:54Why Business Should Come Before the Bot: Rethinking Agentic AI Design
03:47Why LLMs Need Probability & Information Theory at Their Core
03:24OpenAI Ruby API library
02:59LLM Part-2: Background for LLMs
02:51How to Make Power BI Copilot Smarter: Best Practices for Data Models and Metadata
02:22Neuralese: The Most Spoken Language You’ll Never Speak
02:21Large Language Models (LLMs): Decoding the Technology Behind Creative Artificial Intelligence
01:34Introducing Lexoid — An efficient document to Markdown converter
01:25GPT for Word. 100% Private. Use Granite 3.3 or Phi-4-Reasoning for Math Reasoning.
01:12How Vector Databases Power RAG, Semantic Search, and GenAI (Explained Simply)
00:52FlowDubber: A Deep Dive Into the Future of Natural, Emotionally Aware Movie Dubbing
00:195-Min Knowledge: RAG for LLM
140 of 100
Was this helpful?
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124