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LLMs are getting stronger every day, and building a RAG pipeline has never been easier. Knowing whether it actually works is not. Most teams ship a RAG system, see decent-looking answers, and call it done, until users hit hallucination, missing context, or irrelevant chunks. That’s where evaluation frameworks come in. RAGAS, TruLens, and DeepEval are […]
RAG Evaluation Frameworks Compared: RAGAS vs TruLens vs DeepEval Read More »
For twelve days, the best AI models on the planet existed and almost nobody could touch them. That ends now! GPT-5.6 Sol, Terra, and Luna go public today! The models are accessible by all users (no subscription required) This is the full breakdown of what’s on offer: three models, four prices, one precedent, and a
AI agents are moving from one-time assistants to persistent workers that can repeat tasks, monitor changes, run checks, update workflows, and return with results. Instead of prompting an LLM once and deciding every next step manually, teams can now use AI agents that keep working (on a Loop) until a goal or stop condition is
Loop Engineering for AI Agents: How /loop is Changing AI Workflows Read More »
DeepSeek’s new DSpark module brings speculative decoding to DeepSeek-V4. It might look like a niche inference tweak, but in production it boosted per-user generation speed by 60 to 85 percent with no drop in model quality. What sets DSpark apart is that it tackles two longstanding problems at once, weak draft quality and the waste
DeepSeek DSpark: The Speculative Decoding Trick Behind 400% Faster LLM Read More »
Vision Language Models, or VLMs, are AI models that can understand both visual content and language. While earlier models like CLIP and BLIP connected images with text, modern VLMs can analyze images, read documents, interpret charts, answer visual questions, and support multimodal conversations. Models like GPT-4o, Gemini, Claude Vision, and Qwen-VL are making visual AI
Modern VLMs Explained: How GPT-4o, Gemini, Claude Vision, and Qwen-VL Work Read More »
You tell your AI “Polish my email and send it.” Same sentence, three outcomes. The gap between Large Action Models (LAMs) and agentic LLMs is one of the most practically important distinctions in AI today, and also one of the least clearly explained. In this article, we cut through the confusion through a simple breakdown
Large Action Models (LAMs) vs Agentic LLMs: What’s the Real Difference? Read More »
Anthropic has just released Claude Sonnet 5. Sonnet. Had to say it twice. It is the middle child of the Claude family, and the one most people will actually use. It is quick, capable, cheap to run, and free to start. In this article, we go over the latest iteration of the Claude’s Sonnet family
Three chatbots. Same price of $20 for their subscriptions. The convergence is almost funny considering how different the offerings are. The same price does not mean the same product. I paid for all three and ran the same work through each. They are not interchangeable as you’ll soon find out. Pick wrong and you’ll spend months
The Best $20 AI Plan: ChatGPT Plus vs Claude Pro vs Gemini Pro Read More »
You’ve heard the warnings! Don’t tell ChatGPT your secrets. The robots are reading everything. Your data is the product. And yet here you are: using them as a subscriber. Because AI is genuinely useful! The good news: that distrust is healthy, and you don’t have to choose between using AI and protecting yourself. You can
Most search agents try to handle too many jobs at once. They generate new queries, remember what they have already explored, collect evidence, and decide what is relevant as the search keeps expanding. That can make the whole process messy, expensive, and hard to control. Harness-1 takes a simpler approach. Built with researchers from UIUC,
Harness-1: The 20B Retrieval Subagent That Beats GPT-5.4 at Search Read More »
