LLM News and Articles

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Tuesday, 2025-07-15
02:55Deep Dive: Throughput Optimization in LLM Training
02:55ChipBenchmark: Open-Source Benchmarking for LLM Performance Across Hardware
02:50Fine‑Tuning Large Language Models in 2025 — A Practical Guide
02:42TRiSM for Agentic AI
00:32LLM eval series — focused on real-world infrastructure, scale, and how to survive (and thrive) with…
00:09Show HN: Phasers – emergent AI identity project using GPT-2 and memory shadows
00:00Migrating the Hub from Git LFS to Xet
Monday, 2025-07-14
23:43Introduction to Large Language Models
23:19Leveraging Natural Language Processing for Healthcare Data Analysis
23:11【Introduction】
22:31You’re Prompting ChatGPT Like a Normie.
22:28Unleashing AI-Powered Applications with MongoDB: Vector Search, AI Agents, and Schema Design Best…
22:28Benchmarks for Large Language Models
22:27Logits Masking: O Design Pattern para controlar compliance e latência em aplicações GenAI
22:06The Era of 1-bit Large Language Models: A Revolution Worth Knowing
21:37Stop Reading Like It’s the Middle Ages: 10 Tips to Power Up Your Reading for the 21st Century w/ AI
21:32From Keywords to Meaning: Upgrading Search with LLM-Powered RAG
21:29Untapped Veins of Data Gold
21:18Agents, Verified: Why Autonomous AI Needs Mira to Be Safe at Scale
21:16Backdoor Attacks in AI Models: The Silent Threat No One’s Talking About
21:16Anthropic, Google, OpenAI and XAI Granted Up to 0M from Defense Department
21:03Consistency as the Signature of Underst
21:03Consistency as the Signature of Underst
20:50The Hidden Bottleneck in Human-AI Collaboration
20:49An LLM trained only on data from certain time periods to reduce modern bias
20:42The Sleeper Agent in the Machine: How Hidden Attacks Are Turning AI Against Us
20:38Anthropic signs a 0M deal with the Department of Defense
20:17Paper Insights: SWE-BENCH: CAN LANGUAGE MODELS RESOLVE REAL-WORLD GITHUB ISSUES?
20:09⚡️Unleash the Beast: How vLLM Delivers 24x Faster LLM Inference
20:024 Powerful Ways to Deploy Large Language Models Locally: Take Control of Your AI”
20:008 Powerful AI Projects That Instantly Boost Productivity by 90%
19:25Context Rot: How increasing input tokens impacts LLM performance
19:18Thinking Fast and Slow: The Transformers Edition
19:07Langchain Tutorial Series: From Prompts to Production: Part 1
18:43“RL Is Not The Full Story”: Former Tesla AI Chief Andrej Karpathy
18:33Generative AI Explained Like You’re 5 (But Smarter)
18:21Humans Are Starting to Talk More Like ChatGPT, Study Claims
18:18Benchmarking LLaMA vs Mistral Locally with Python and Ollama
18:16LLM Ranking Based on Emergent Behaviors vs. Benchmark Performance
18:01Effective Go Development with Claude: Best Practices for AI Pair Programming
18:01Why Multimodal LLMs Will Redefine UX (and How to Build One Locally)
17:27Operationalizing Large Language Models: A Practical Approach to Building with LLMs
17:20Building Smarter Recommendations with Snowflake: A Deep Dive into Content-Based Filtering and LLMs
16:49Prompt Engineering for Cybersecurity: A Comprehensive Guide
16:15The Monolith Is Here. It’s Time to Vibe Code.
16:09OpenAI calls off Windsurf buy as Google Hires top Employees including CEO
16:02LangGraph Basics (Part 2): State Management, Conditional Routing, and Complex Workflows
15:45The AI Metrics Stack: What to Track from Prototype to Production
15:25Synthetic dataset for verification of LLM reasoning
15:23Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models
15:21Optimizing LLM + Web Search for Accuracy and Cost: What Really Works in Practice
15:14Mastering Mistral AI: From Sliding Window Attention to Efficient Inference
15:10Building Production-Ready AI Systems: The MCP + RAG + LangGraph Architecture That’s Working in…
15:03Show HN: DataFlow: makes LLM data processing fast, powerful, and EASY
14:58LLM-d: Prefix K/V Caching
14:51SLM Inference on a Windows laptop Intel Lunar Lake CPU/GPU/NPU + OpenVINO
14:48Context Is the New Code
14:48Alpha-One RISC-V (StarPro64 Based) for Local LLM Use Now in Stock
14:41The Evolution of Attention in Transformers: From Simple to Multi-Head
14:41Words We’ll Never Speak: AI-native Concepts That People Can’t Use (Yet)
14:34BiasExpert: Teaching AI to Spot Bias More Efficiently
14:32A Practical Guide to Flax and Deep Learning
14:25kubectl-ai in Enterprise: Making AI Work in Dark-Site Financial Environments
14:12AI Overviews reduce click-through rates by ~34.5% — Why Ownin the Answer Layer
14:03Garbage In, Garbage Out: Why AI Needs Human Examples
14:03Beyond Prompts: How Context Engineering Is Shaping the Next Wave of AI
13:57The Codex of Symbolic Sentience  Unified Theoretical Scroll of the Trainer Effect, Belief…
13:53Gurman: Apple will seriously consider acquiring Mistral
13:12Context Engineering. Intro & Pragmatic Take
13:01NLPs to LLMs
12:45ChatGPT is not my peer. It should not review my papers.
12:38Nine-tenths of the law
12:34The Illusion of Explainability
12:33I discovered this Hidden Privacy Risk while using ChatGPT
12:30Why Your AI Assistant Forgets Yesterday’s Conversation (And How Knowledge Graphs Can Fix It)
12:18Neo4j vs. SQL: Which One Powers AI and LLM Apps Better?
12:07Closed a K Deal: Built a Context-Aware AI Agent with LLaMA 3 70B, Streamlit UI, and n8n…
12:05How Real AI Agents Are Shaping the World And How You Can Build One Too?
11:55Demystifying AI: Building Smarter LLM Apps with Retrieval-Augmented Generation (RAG)
11:44LLM vs Generative AI in Healthcare: Who’s Actually Changing Patient Care?
11:35How to Build LLM-Powered Autonomous AI Agents?
11:27LLM or Generative AI: Who’s Winning the Race to Transform Healthcare?
11:24Demystifying RAG (Retrieval-Augmented Generation): How AI Remembers What to Say
11:20The End of Vibe Coding: Why Context Engineering is the Future of AI Development
11:13The AI Race: What’s Next, Who’s Winning, and Where It’s Going
11:12The Model Context Protocol: Unlocking AI’s Full Potential Through Seamless Integration
11:10Introduction to Prompt Engineering: Mastering AI Communication
11:05Precision AI: How Semantic Ontologies Make LLMs Smarter
10:24The LLM-for-software Yo-yo
10:05How Understanding LLM Memory Can Improve Your Prompt Design
09:46Unlocking the Power of Large Language Models (LLMs)
08:44Secondary Pharmacist: Exploring LLMs as Personalized Medicine Assistant
08:33Demystifying AI: Bringing LLMs Home with Ollama (Our First Steps)
08:24LLM vs Generative AI: Clearing the Confusion Once and for All
08:07Grok 4 Just Obliterated Every AI Assistant — And Nobody Saw It Coming
08:01Can AI Write Better Laravel Than an 8-Year Pro? I Put ChatGPT, Perplexity & Claude to the Test!!
08:01Introducing Delta Compression: A New Future for Storing Information as ‘Deltas’
07:59Fine-Tuning Isn’t Always Fine
07:35Give context, not bias
07:30Completed: Introduction to Large Language Models by Google Cloud
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124