hands-on
6 stories filed under hands-on on Beyond Market Intelligence. The newest of them: “Seven Decision Models Put to the Test Against a Generative LLM”, “Discover the Interactive Roundtables Shaping Disrupt 2026”, and “Unlock Continuous Workflows by Exploring OpenAI Dot's Autonomous Agent”. A head-to-head test of seven open decision models against a generative LLM reveals a clear winner on routing accuracy, latency, and output reliability. The full roundtable agenda for Disrupt 2026 is here, and it reads like a map of where intelligent software actually lives. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every hands-on story on Beyond Market Intelligence, newest first.
Seven Decision Models Put to the Test Against a Generative LLM
A head-to-head test of seven open decision models against a generative LLM reveals a clear winner on routing accuracy, latency, and output reliability. The results are both practical and telling. For teams wrestling with model selection, this hands-on Jev repo comparison offers concrete data instead of speculation. We also published "Two Paths to a Smarter Decision Model" if you want to explore how different approaches can match on accuracy while diverging sharply on cost. The future of data decisions starts with honest benchmarks like these.
Discover the Interactive Roundtables Shaping Disrupt 2026
The full roundtable agenda for Disrupt 2026 is here, and it reads like a map of where intelligent software actually lives. Nvidia, Chime, Obvious Ventures, and Anthropic will sit down to wrestle with the practical realities of AI-native tools. This is the conversation users need before the next wave of gadgets, like the ones our coverage on trust suggests, arrives. Register now to save up to $100 and bring a colleague for half off.
Unlock Continuous Workflows by Exploring OpenAI Dot's Autonomous Agent
OpenAI Dot runs as a 24/7 autonomous agent that consumes no usage quota. That alone makes it worth a closer look. Dot walks through what it actually does, how to access it, and a live analytics exercise that puts the agent to work. If you're exploring agentic workflows, Claude Sonnet 5.5 Delivers Faster Coding Smarter Agentic Workflows and Practical Cost Controls offers a complementary perspective on how different tools approach automation.
Fine-Tune Large Language Models for Real-World Results
Fine-tuning an LLM often feels like stepping into a black box, but this guide opens it up. It walks you through the entire process, from preparing data to deployment, with a clear focus on practical, real-world application. We appreciate how it cuts through the complexity, giving you a path to follow rather than abstract theory. If you are curious about the broader challenges of training these models, our related piece on distributed algorithms is a useful next step.
Explore hands-on courses to master generative AI and LLM tools.
Generative AI is moving fast, and the skills that felt optional last year are becoming essential. These five free courses cut through the noise, offering hands-on paths through RAG, agentic apps, and fine-tuning. You will build real proficiency, not just collect concepts. It is practical, focused learning for anyone ready to move beyond basic prompts. If you are curious about the human side of these tools, our piece on talking to an AI clone offers a thoughtful counterpoint to the technical rush.
Empower Your Workflow with an AI Agent That Writes and Executes Code
Watching an AI agent write code and execute it live is one thing, but building that workflow yourself is where the real insight lands. This walkthrough with the OpenAI Agents SDK and Docker shows exactly how to set up a system that moves from prompt to running code, and it does so with practical clarity. If you are ready to move beyond static outputs, this one is worth your time.