Newtuple Technologies

Should you use raw LLM APIs or Agent frameworks? In the real world, AI is ~30% of the work. The other 70% is memory, tool orchestration, retries, observability, and guardrails ⚙️ That’s where frameworks matter - newtuple.com/post/building-…

Wishing you light, joy, and endless new beginnings this Diwali. 📷 #HappyDiwali #FestivalOfLights

If you care about building dependable AI systems, these benchmarks are worth exploring. They turn “agent” from a buzzword into something measurable.

GAIA 2 isn’t alone — AgentBench, Bamboo, and ARE-based forks are appearing too. They’re shifting evaluation from “Can it answer?” → “Can it operate reliably?”

Everyone’s building AI agents. But how do we test if they actually work? Benchmarks like GAIA 2 are the new way to find out — not by asking questions, but by giving agents real jobs. 👇

That’s August in a nutshell; a mix of frontier models, open-weights, voice, image and code. Which one excites you most? Talk to Newtuple to get your AI ambitions off the ground newtuple.com/contactus

And Alibaba’s Qwen team released Qwen-Image weights plus new Qwen-VL snapshots, each supporting 128K context.

August was a busy month in AI. Big players and open-source alike shipped models across text, image, coding and even real-time voice. Let’s run through what happened ⬇️