搜索“Agent”

ilable to run using Ollama. 1B and 3B models are text-only models are optimized to run locally on a mobile or edge device. They can be used to build highly personalized, on-device agents. For example, a person could ask it to summarize the last ten messages they received on WhatsApp, or to summarize their schedule for the next month. The prompts and responses should feel instantaneous, and with Ollama, processing is done locally, maintaining privacy by not sending data such as messages and other

匹配字段正文

has highest throughput on ShareGPT and Decode-heavy dataset (though the throughput is only marginally higher than TensorRT-LLM), but the throughput of vLLM is lower on Prefill-heavy dataset. Related Posts DeepSeek-V4.1-Flash on vLLM: 5x Agentic Throughput Since Day 0 Within three weeks of release, vLLM made DeepSeek-V4.1-Flash 1.9x faster at low concurrency and lifted its throughput 5x on SemiAnalysis AgentX, with SWA bounded replay, CUDA graphs, DeepSeek's new kernels, and vLLM kernel fusions.

匹配字段正文

nique and look forward to building on it for the third part of our masterplan soon: to collaboratively train and contribute to open AI models in high-impact domains like language, agents, code, and science for collective ownership of AI models. Join Us in Building the Open Future of AI The power to shape the future of AI should not be concentrated in the hands of a few, but open to anyone with the ability to contribute. We invite you to join us in building a more distributed and impactful future

匹配字段正文

ute. Train models. Democratize Intelligence. AI compute needs to be accessible to all, accelerating progress and ensuring democratized access! We invite everyone to join us on this journey: Sign up to find instant compute H100s starting at 1.65.A100sat1.65. A100s at 1.65.A100sat0.87. 4090s at $0.3 Let's accelerate progress by making compute and machine intelligence more open and accessible for all. ‍ Feel free to upvote us on producthunt ‍ Rewriting Prime Agent in Rust On the Nature of the Swarm

匹配字段正文

lama: Next, run the app: Finally, open the example app in your browser at http://localhost:3000: Autogen Autogen is a popular open-source framework by Microsoft for building multi-agent applications. For this, example we’ll use the Code Llama model: Install Autogen: Then create a Python script example.py to use Ollama with Autogen: Lastly, run the example to have the assistant write the code to plot a chart: More to come This is initial experimental support for the OpenAI API. Future improvement

匹配字段正文

ire team — Siyuan Zhuang, Ying Sheng, Lianmin Zheng (UC Berkeley), Cody Yu (Independent Researcher), Joey Gonzalez (UC Berkeley), Hao Zhang (UC Berkeley & UCSD), and Ion Stoica (UC Berkeley). Related Posts DeepSeek-V4.1-Flash on vLLM: 5x Agentic Throughput Since Day 0 Within three weeks of release, vLLM made DeepSeek-V4.1-Flash 1.9x faster at low concurrency and lifted its throughput 5x on SemiAnalysis AgentX, with SWA bounded replay, CUDA graphs, DeepSeek's new kernels, and vLLM kernel fusions.

匹配字段正文

w in your editor). Ghostwriter is like Multiplayer in that you collaborate in real-time with someone else. However, in this case, you're not coding with a person; instead, it's an agent representing the entire programming knowledge of the human race. We believe Ghostwriter will leapfrog traditional IDE features. Ghostwriter is the next major evolution of our platform. We think this will radically change how people write code on Replit — and in the process, will change software writ large. Foreve

匹配字段正文