Agent Computers: Pay Once for Cloud-Grade Intelligence
…Qwen 3.6 35B A3B, for example, demonstrates that a local model can deliver highly capable agent behavior in a footprint that makes sense for advanced local systems. Pay once, then run…
Search
All sources
amd.com
7
anthropic.com
7
developer.nvidia.com
5
theverge.com
4
huggingface.co
3
xda-developers.com
3
en.wikipedia.org
3
github.blog
2
cncf.io
2
blog.google
2
semiwiki.com
2
theregister.com
1
People also ask
What techniques are used for agent customization?
Agent customization techniques span from simple prompt changes to advanced techniques like reinforcement learning (RL), each with tradeoffs in cost, complexity, and capability. The best approach depends on whether you need better information, instructions, or fundamentally more reliable behavior. The following sections cover the main approaches.
Mastering Agentic Techniques: AI Agent Customization | NVIDIA Technical BlogWhat is a multistage pipeline for AI agent customization?
In practice, the most effective agent customization combines multiple techniques in sequence. The stages of a representative pipeline are outlined below. Start with system prompts, tool and skill definitions, and retrieval to establish baseline behavior.
Mastering Agentic Techniques: AI Agent Customization | NVIDIA Technical BlogWhy is it necessary to customize an AI agent?
Foundation models come with broad language and reasoning capabilities across use cases and modalities based on the training datasets used. Models understand language and can follow instructions, but specialized workflows often require context that is restricted, specialized, or proprietary. Customizing an agent solves this challenge by shaping how the agent reasons under constraints, which tools it selects, how it structures its outputs, and how reliably it executes domain workflows.
Mastering Agentic Techniques: AI Agent Customization | NVIDIA Technical BlogVideos
More videosBenchmarking AI agent retrieval strategies on Kubernetes bug fixes
…Early experiments showed that without this mandate, hybrid agents would skip RAG entirely when the issue mentioned specific filenames, defeating the whole point of the comparison. The test cases (Benchmark) I used…
Demystifying evals for AI agents
…Evals make problems and behavioral changes visible before they affect users, and their value compounds over the lifecycle of an agent. As we described in Building effective agents , agents operate over many…
AI Agents Plunged the Tech World Into Chaos. Here’s Exactly How That Happened
…In a February paper, 20 AI researchers tested OpenClaw and found that it is, to cite the paper’s title, an agent of chaos. “Observed behaviors include unauthorized compliance with non-owners…
Harness design for long-running application development
…Opus 4.5 largely removed that behavior on its own, so I was able to drop context resets from this harness entirely. The agents were run as one continuous session across the…
Microsoft has spent six months turning Windows Terminal into a rival to Warp, and it's working
…Some of Warp's most noteworthy features center around agentic use and other AI-assists, none of which Microsoft has implemented into Terminal. The only real comparison point here is Terminal Chat…
Introducing Sonnet 4.6
…You can find a full discussion of Sonnet 4.6’s capabilities and its safety-related behaviors in our system card ; a summary and comparison to other recent models is below. In…
Measuring AI agent autonomy in practice
…Because we characterize agents as AI systems that use tools, we can analyze individual tool calls as the building blocks of agent behavior. To understand what agents are doing in the world…
Introducing Android Performance Analyzer : The Next Evolution in Profiling for Android
…Deep-Dive System Analysis With APA, you can analyze the entire system’s behavior in one view. For example, you can easily examine CPU cores - both their frequencies and the work scheduled…
Project Glasswing: what Mythos showed us
…when many agents work on tightly scoped questions and we deduplicate the results afterward, rather than asking one agent to be exhaustive. Each of those observations is about model behavior, and put…