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Recent posts tagged llms

Level UI • 20 hours • in Articles • 9 min read
An MCP server is not a new API. It is a thin layer over the one you already have
Somewhere in the last year, "do we need an MCP server?" joined the list of questions that arrive in a brief before anyone has said what the thing is for. It is usually framed as MCP vs API, as though the Model Context Protocol were a newer kind of AP...
post-cover-33074
  • ai
  • api
  • webdev
  • security
7 Reactions 7 Comments
nik-13 • 2 days • in Articles • 4 min read
Count your agent's narrow calls before you move any of them to a small model
A team decides its agent costs too much. Someone reads that small models are the future of agent work, picks a 3B model, and points the whole agent at it. Ticket classification holds up. The open-ended replies fall apart within a day, and the team ro...
  • ai-agents
  • small-language-models
  • llms
  • fine-tuning
0 Reactions 1 Comments
Basavaraj-Shepur • Oct 21 • in Articles • 2 min read
Flip One Field: A Fairness Test That Beats Aggregate Parity
Most teams check an LLM-assisted decision system for fairness by comparing approval rates across groups. That check can pass cleanly while the model is still changing its mind on individual cases for reasons nobody would defend out loud. Recent fairn...
post-cover-32004
  • llms
  • python
  • testing
  • futureofai
0 Reactions 0 Comments
Basavaraj-Shepur • Oct 20 • in Articles • 2 min read
Hidden Page Instructions Are a Support Policy Decision, Not a Prompt Hack
The Decision Behind the Markup Your help center is no longer read only by humans. Chatbots, browser agents, and search summarizers scrape it and answer on your behalf - without your support tone, your escalation paths, or your legal review. So produ...
post-cover-31891
  • aiagents
  • promptinjection
  • llms
  • webdev
2 Reactions 2 Comments
Basavaraj-Shepur • Oct 19 • in Articles • 2 min read
Hiding Agent Reasoning Costs You Your Debug Trail
There's a real push toward agents that reason internally - in vectors, not words - and only emit text when they act. It's faster and cheaper. It also quietly removes the thing most teams rely on to figure out why an agent did something strange. That'...
post-cover-31725
  • aiagents
  • observability
  • llms
  • python
2 Reactions 3 Comments
TheCodeStreet • Oct 18 • in Videos • 1 min read
What Is Context Size in Ollama? QWEN 3.8 Context Window Explained for Beginners
Confused about context size in Ollama? Wondering what an AI context window is, why it matters, and how to configure it for Qwen 3.8 27B? In this beginner-friendly tutorial, you'll learn how context size works in local AI models, how to increase the ...
post-cover-31589
  • ollama
  • ai
  • localai
  • llms
2 Reactions 2 Comments
PMAIML • Oct 16 • in Articles • 2 min read
Bridging the Knowledge Gap: Why General LLMs Fail at HEOR and How to Fix it with RAG 🏥🤖
The ambition for AI in European healthcare is sky-high. Policymakers see AI as the key to optimizing health budgets and patient outcomes. However, there is a critical bottleneck: General-purpose LLMs are fundamentally mismatched with the reality of H...
post-cover-31296
  • ai
  • healthcareai
  • pharmaai
  • llms
4 Reactions 2 Comments
Basavaraj-Shepur • Oct 7 • in Articles • 2 min read
The Safety Check That Runs on the Conversation, Not the Turn
Common Sense Media just called OpenAI's teen-oriented ChatGPT an unacceptable risk for young users - months after it launched with guardrails specifically for that group. A product built to be safe can fail review while every individual response look...
  • ai-trust-layer
  • aisafety
  • llms
  • ai
0 Reactions 0 Comments
Steve Fentonverified • Oct 5 • in Articles • 4 min read
Developers are addicted to AI, and managers are making it worse
Radical behaviorism is the worst way to build software AI is addictive, and managers are rewarding those who use it the most even though they are shipping stuff they don’t understand. What a tangled mess. Let’s unpack some of the findings from the A...
post-cover-29862
  • ai
  • agentic-ai
  • llms
  • generative-ai
7 Reactions 3 Comments
amitasharmaa • Sep 22 • in Articles • 4 min read
What Really Happens When AI Makes a Decision?
Today I was reading about Jev, and one idea genuinely stopped me. We usually think about AI inference in a very familiar way: Prompt → generate tokens → get an answer. But what if the model doesn't need to generate an answer at all? What if the o...
post-cover-28247
  • artificial-intelligence
  • techtrends
  • llms
  • automation
2 Reactions 0 Comments
angeo • Sep 20 • in Articles • 12 min read
llms.txt v2: What the Spec Says, and What 137,000 Domains Show
Originally published on angeo.devhttps://angeo.dev/llms-txt-v2-spec-and-evidence/. Checked against llmstxt.org v2, revised 10 August 2026, and against the published request data as of September 2026. We shipped a validator that could certify a brok...
post-cover-27863
  • llms
  • seo
  • ai
  • magento
3 Reactions 2 Comments
Rashmi.N.S • Sep 9 • in Articles • 3 min read
🏰✨ The Magical Mansion of Prompts: Seven Enchanted Rooms That Secretly Explain How LLMs Think
I entered a magical mansion looking for treasure... I walked out understanding Prompt Engineering, LLMs, RAG, AI Agents, and the hidden language behind every AI conversation. > "Every room grants exactly what you ask for... nothing more, nothing le...
  • promptengineering
  • generativeai
  • llms
  • artificialintelligence
4 Reactions 2 Comments
helkyn-coello • Sep 1 • in Articles • 5 min read
The On-Premise LLM Lottery
I lost a full long weekend to OpenClaw once. Friday to Sunday, trying to get it running locally with an on-premise LLM on my personal machine. The machine was reasonably capable, though nothing close to a datacenter. I had watched something like fort...
post-cover-25822
  • llm
  • llms
  • aiinfrastructure
  • sovereign-ai
0 Reactions 0 Comments
nik-13 • Aug 26 • in Articles • 4 min read
Evaluating MCP-connected agents: five pillars and a sampling loop
An MCP-connected agent passes staging and then fails in production. A user sends a query slightly outside the test distribution, the agent picks the wrong tool, passes malformed arguments, chains three unnecessary calls, and returns garbage. The reas...
  • ai-agents
  • ai-evaluations
  • llms
2 Reactions 1 Comments
muhammadali • Aug 23 • in Articles • 13 min read
llms.txt Explained: What It Is, Who Uses It, and How to Add It to Next.js
You've probably seen a stray llms.txt link in someone's site footer, or noticed a new file sitting next to robots.txt and sitemap.xml on a docs site you visited. Maybe you've even been told "you need this or ChatGPT won't recommend your site." Before...
  • llms
  • nextjs
  • seo
  • ai-search
0 Reactions 0 Comments
Basavaraj-Shepur • Aug 21 • in Articles • 2 min read
ChatGPT Search Is Firing site: Queries - Test Yours Today
ChatGPT's search step increasingly issues site:-scoped queries rather than broad open-web searches. This single detail changes what "being findable" means for anyone with a site, docs, or a blog. What a site:-Scoped Search Actually Implies When a m...
post-cover-25070
  • seo
  • rag
  • llms
  • webdev
0 Reactions 0 Comments
Basavaraj-Shepur • Aug 14 • in Articles • 2 min read
Managed Agent Infrastructure: What Changes When the Runtime Is Handled For You
Managed agent frameworks address a specific infrastructure challenge: streams that don't timeout, memory that persists across sessions, and auth that prevents data leakage. Building one that handles all three in production is where most teams stall. ...
post-cover-24657
  • langgraph
  • python
  • llms
  • agenticai
0 Reactions 0 Comments
Basavaraj-Shepur • Aug 14 • in Articles • 2 min read
How to Catch an AI Agent Behaving Badly Before It Ships
AI agents fail in ways that aren't obvious during demos - they hallucinate tool calls, fabricate intermediate results, and sometimes take actions the user never approved. Catching this before users do is now a core part of agent development. The Pro...
post-cover-24656
  • aiagents
  • llms
  • python
  • langchain
1 Reactions 0 Comments
Basavaraj-Shepur • Aug 11 • in Articles • 2 min read
How to Tell When Your LLM's Knowledge Actually Stops
Every AI model has a knowledge cutoff - but the official date rarely captures the whole story. The Hidden Gap Between Training and Knowing Model providers list a knowledge cutoff date, but that figure is deceptive in practice. According to research...
post-cover-24432
  • llms
  • rag
  • python
  • aiagents
3 Reactions 1 Comments
Basavaraj-Shepur • Aug 10 • in Articles • 2 min read
How to Give AI Agents a Safe Sandbox Using Docker
AI agents that can execute code, browse files, or run shell commands are powerful - and risky. Docker sandboxes let you hand an agent real execution capability without letting it touch anything it shouldn't. Disposable Containers as Agent Workspaces...
post-cover-24394
  • docker
  • agenticai
  • python
  • llms
0 Reactions 0 Comments
Hanzla • Aug 10 • in Articles • 13 min read
Beyond the Hype: Unpacking AI Content Detection's Technical Flaws and Future
The rapid ascent of Large Language Models LLMs like GPT-3.5 and GPT-4 has ushered in an era of unprecedented text generation capabilities. From drafting emails to writing entire articles, these models are transforming how we interact with information...
  • ai-detection
  • llms
  • nlp
  • content-moderation
0 Reactions 0 Comments
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