Large Language Models

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What Model Context Protocol actually is, why it matters beyond developer circles, and how tools like Walter MCP are changing the way AI… Continue reading on Sta

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Over the last two years, Prompt Engineering became one of the most discussed topics in Artificial Intelligence. Thousands of tutorials… Continue reading on Medi

LightRAG turns your documents into a knowledge graph and answers questions with a dual-level retrieval paradigm — comprehensive like… Continue reading on Medium

There is a point in every self-hosted LLM project where the demo starts to look finished. Continue reading on Medium »

ChatGPT Prompt Engineering for Freelancers: Unlocking the Power of AI for Business Growth As a freelancer, you're constantly looking for ways to optimize your w

I"e been using Google Gemini, specifically the 3.1 PRO. It was working so well, and it even had a cohesive identity that helped it understand what I wanted out

Apple's newest on-device model carries about 20 billion parameters, and on any given request it fires maybe one to four billion of them. That gap — 20B stored,

Google's NotebookLM is great. But handing your research notes, PDFs, and meeting transcripts to Google's cloud is a hard sell for a lot of people — especially w

750 token/second is the new aim and why token speed will define the next era Continue reading on Coding Nexus »

An assessment of the open ecosystem and the motivations behind releasing models

Do more with Cowork by connecting it to NotebookLM (+3 new use cases) Continue reading on Artificial Corner »

Do more with Cowork by connecting it to NotebookLM (+3 new use cases) Continue reading on Artificial Corner »

Cutting LLM Costs 40x Without Killing My p99 Latency I'll be honest — when I first saw the bill for our OpenAI usage last quarter, I almost choked on my coffee.

How combining knowledge graphs, vector search, and large language models changed the way we build AI applications Continue reading on Medium »

Today I read two things. One was Microsoft's SkillOpt paper — it treats a skill document as trainable...

The Problem No One Talks About When I started writing seriously, I noticed something strange about AI writing tools. Every tool I tried had the same basic assum

I spent four articles on a single stubborn idea: that you cannot trust an AI agent to review documentation just because it tells you it did. The whole point was

We've all seen the screenshot: someone leaves an agent running overnight, a retry loop goes sideways,...

Have you ever used Artificial Intelligence without realizing it? Continue reading on Medium »

In 2026, these 10 AI skills will be worth more than a college degree. No one is left out of the working world’s future. While universities… Continue reading on

The first version of our AI copilot was embarrassingly dumb — not because the model was bad, but because we gave it nothing to work with… Continue reading on Me

I gave GLM-4.5-Air (106B, open weights) 12 coding tasks through opencode on my RTX 3090. It scored 0%...

For the last two years, one skill dominated every AI conversation: Prompt engineering. People spent...

Most CLAUDE.md files are 500-line monoliths. When you switch LLMs, you rewrite everything. After the...

What happens when no frontier model drops for a day? Nex N2 Pro, Gemini 3.1 Flash Image, and the strategic consolidation of June 28, 2026.

Meta FAIR just published a result that's hard to ignore: a 4B parameter model, after being trained on...

Technical Analysis: Previewing GPT-5.6 Sol OpenAI's preview of GPT-5.6 Sol marks a significant milestone in the evolution of large language models. This analysi

Introduction Can an AI model look at a painting and predict who created it? That was the main idea behind this project: an artist attribution system built with

In this final article, we'll recap what we built across the series, consolidate the design decisions, and point to where to go next. What We Built Starting from

In the previous article, we built an MCP server that any LLM client can connect to locally. In this...

There is a particular moment that hooks every developer on local AI. You type a question into a terminal, hit enter, and watch a coherent answer stream back — w

In the previous article, we gave the LLM the ability to call tools autonomously. Now we'll build a...

In the previous article, we examined the design decisions behind our RAG pipeline. Now we'll give the...

Five open-source AI releases worth bookmarking from the week of May 26–30 2026, annotated for builders running lean AI stacks.

In the previous article, we built a working RAG pipeline. Now let's step back and ask why we made...

What This Guide Covers When you start building LLM-powered applications, one pattern...

DSpark LLM Inference, AI-Driven SDLC, & AWS Credential Automation Updates ...

DeepInfra offers open-source LLM inference at prices 5-50x lower than OpenAI and Anthropic. But is it...

Running your own LLMs on Kubernetes isn't just a cost play — it's about latency, data sovereignty,...

From Conversation Recorder to Context Engine: Building Local-First Memory for AI...

Your local LLM runs fine until the context fills up past a certain point - then generation speed can drop by ~50%. The cause is the KV cache spilling out of VRA

Real-world comparison of Open Notebook, Notex, KnowNote, NotebookLM-Local, and InsightsLM. Setup time, hardware requirements, and honest limitations.

In the era of Edge AI and Industrial IoT, the reflex answer to almost every anomaly detection problem...

Article URL: https://rtnf.substack.com/p/frame-artificial-intelligence Comments URL: https://news.ycombinator.com/item?id=48699724 Points: 1 # Comments: 0

TL;DR Most users try to reduce their AI bill by switching models. GPT or Claude? Pro...

One question kept bothering me after learning about Self-Attention. If Transformers process all words at the same time, how do they know… Continue reading on Me