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So how good is gpt-oss at function calling for real use cases and how to implement it correctly on Groq? Meet Autosheet: a GroqLabs project to showcase gpt-oss models running on Groq Inc! It's a browser spreadsheet driven by AI with built-in MCP server support. A video & 🧵

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Rick Lamers

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26,321 Aufrufe • vor 1 Jahr •via X (Twitter)

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PSA: OpenAI is putting the Open back in OpenAI and Groq Inc has Day 0 support. 🤗 GPT-OSS 20B and 120B, hybrid-reasoning models with built-in browser search and code execution are now live for instant inference. P.S. We've also launched OpenAI Responses API compatibility.
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PSA: OpenAI is putting the Open back in OpenAI and Groq Inc has Day 0 support. 🤗 GPT-OSS 20B and 120B, hybrid-reasoning models with built-in browser search and code execution are now live for instant inference. P.S. We've also launched OpenAI Responses API compatibility.

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Today’s a big day! We have something really exciting to share with the open-source community. We’re launching two open-weight language models: gpt-oss-120b and gpt-oss-20b. They’re incredible models, built for developers, trained for reasoning, efficiency, and real-world use.🧵
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Today’s a big day! We have something really exciting to share with the open-source community. We’re launching two open-weight language models: gpt-oss-120b and gpt-oss-20b. They’re incredible models, built for developers, trained for reasoning, efficiency, and real-world use.🧵

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We recently shipped a Data Exploration Agent in the Hugging Face Dataset Viewer 💽 • powered by OpenAI gpt-oss-120b 🤖 • served by Groq Inc for super fast inference ⚡ • multi-turn SQL on datasets in the browser 💻
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We recently shipped a Data Exploration Agent in the Hugging Face Dataset Viewer 💽 • powered by OpenAI gpt-oss-120b 🤖 • served by Groq Inc for super fast inference ⚡ • multi-turn SQL on datasets in the browser 💻

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introducing gen an experimental llm as a server that serves freshly generated html for any endpoint its fun to explore and stumbling upon something that never existed before you clicked is kinda amazing uses gpt-oss with groq (thanks groq and sama <3)
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introducing gen an experimental llm as a server that serves freshly generated html for any endpoint its fun to explore and stumbling upon something that never existed before you clicked is kinda amazing uses gpt-oss with groq (thanks groq and sama <3)

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gpt-oss with built-in websearch in ollama running fully locally on my mac with Exa for search shoutout to @DKundel OpenAI Developers for making it so easy :)
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gpt-oss with built-in websearch in ollama running fully locally on my mac with Exa for search shoutout to @DKundel OpenAI Developers for making it so easy :)

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Groq is crazy fast 🤯 I compared both Llama 3 (on Groq) and GPT-4 by asking them to code a snake game in Python, and look at the difference in speed! Link to get the Groq phone app in the comments:
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Groq is crazy fast 🤯 I compared both Llama 3 (on Groq) and GPT-4 by asking them to code a snake game in Python, and look at the difference in speed! Link to get the Groq phone app in the comments:

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A voice agent powered by gpt-oss. Running locally on my macBook. Demo recorded in a Waymo with WiFi turned off. I'm still on my space game voice AI kick, obviously. Code link below. For conversational voice AI, you want to set the gpt-oss reasoning behavior to "low". (The default is "medium".) Notes on how to do that and a jinja template you can use are in the repo. The LLM in the demo video is the big, 120B version of gpt-oss. You can use the smaller, 20B model for this, of course. But OpenAI really did a cool thing here designing the 120B model to run in "just" 80GB of VRAM. And the llama.cpp mlx inference is fast: ~250ms TTFT. Running a big model on-device feels like a time warp into the future of AI.
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A voice agent powered by gpt-oss. Running locally on my macBook. Demo recorded in a Waymo with WiFi turned off. I'm still on my space game voice AI kick, obviously. Code link below. For conversational voice AI, you want to set the gpt-oss reasoning behavior to "low". (The default is "medium".) Notes on how to do that and a jinja template you can use are in the repo. The LLM in the demo video is the big, 120B version of gpt-oss. You can use the smaller, 20B model for this, of course. But OpenAI really did a cool thing here designing the 120B model to run in "just" 80GB of VRAM. And the llama.cpp mlx inference is fast: ~250ms TTFT. Running a big model on-device feels like a time warp into the future of AI.

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We’re excited to partner with OpenAI to launch their new open source models natively on Databricks! gpt-oss sets a new standard of quality for open language models, supporting advanced reasoning with the transparency, flexibility and control enterprises need. Running on Databricks, the gpt-oss models connect securely to your data and scale with built-in governance, and expand what you can build and do with GenAI. Try both the 20B and 120B today in the Mosaic AI Playground.
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We’re excited to partner with OpenAI to launch their new open source models natively on Databricks! gpt-oss sets a new standard of quality for open language models, supporting advanced reasoning with the transparency, flexibility and control enterprises need. Running on Databricks, the gpt-oss models connect securely to your data and scale with built-in governance, and expand what you can build and do with GenAI. Try both the 20B and 120B today in the Mosaic AI Playground.

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Behold... GPT-OSS (20B) running 100% locally in your browser on WebGPU. This shouldn't be possible — but with Transformers.js v4 and ONNX Runtime Web, it is! A new class of AI apps is emerging. Zero-install, infinite distribution. Simply visit a website and run models locally.
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Behold... GPT-OSS (20B) running 100% locally in your browser on WebGPU. This shouldn't be possible — but with Transformers.js v4 and ONNX Runtime Web, it is! A new class of AI apps is emerging. Zero-install, infinite distribution. Simply visit a website and run models locally.

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Exploring Andrej Karpathy Nanochat through a Knowledge Graph Love how this project combines simplicity with power. Want to navigate and understand the entire repo? Check it out here: Plus, you can connect it via MCP to any AI coding assistant and work directly on the repository. Powered by Deep Graph MCP AI at Meta and Groq Inc

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OpenAI gpt-oss 120B orchestrates a full video using Hugging Face spaces! 🤯 All of it, in one SINGLE prompt: create an image of a Labrador and use it to generate a simple video of it 🛠️ Tools used: 1. Flux.1 Krea Dev by Black Forest Labs 2. LTX Fast by Lightricks That's it, gpt-oss 120B is one of the BEST open source models I've used for tool calling so far! Kudos OpenAI 🤗
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OpenAI gpt-oss 120B orchestrates a full video using Hugging Face spaces! 🤯 All of it, in one SINGLE prompt: create an image of a Labrador and use it to generate a simple video of it 🛠️ Tools used: 1. Flux.1 Krea Dev by Black Forest Labs 2. LTX Fast by Lightricks That's it, gpt-oss 120B is one of the BEST open source models I've used for tool calling so far! Kudos OpenAI 🤗

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Sam Altman recently said: “GPT-OSS has strong real-world performance comparable to o4-mini—and you can run it locally on your phone.” Many believed running a 20B-parameter model on mobile devices was still years away. At Nexa AI, we’ve built our foundation on deep on-device AI technology—turning that vision into reality. Today, GPT-OSS is running fully local on mobile devices through our app, Nexa Studio. Real performance on Snapdragon Gen 5: - 17 tokens/sec decoding speed - < 3 seconds Time-to-First-Token Developers can now use NexaSDK to build their own local AI apps powered by GPT-OSS. What this unlocks: - Real reasoning models running locally - The next wave of AI Agent use cases—without cloud limits - True data privacy: your data never leaves your device Appreciation to OpenAI Sam Altman Greg Brockman and the entire leadership team for pushing the boundaries of the open-source AI community. Thanks to Qualcomm for the partnership, and to Manoj Khilnani and Chun-Po (Jerry) Chang for the incredible collaboration.
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Sam Altman recently said: “GPT-OSS has strong real-world performance comparable to o4-mini—and you can run it locally on your phone.” Many believed running a 20B-parameter model on mobile devices was still years away. At Nexa AI, we’ve built our foundation on deep on-device AI technology—turning that vision into reality. Today, GPT-OSS is running fully local on mobile devices through our app, Nexa Studio. Real performance on Snapdragon Gen 5: - 17 tokens/sec decoding speed - < 3 seconds Time-to-First-Token Developers can now use NexaSDK to build their own local AI apps powered by GPT-OSS. What this unlocks: - Real reasoning models running locally - The next wave of AI Agent use cases—without cloud limits - True data privacy: your data never leaves your device Appreciation to OpenAI Sam Altman Greg Brockman and the entire leadership team for pushing the boundaries of the open-source AI community. Thanks to Qualcomm for the partnership, and to Manoj Khilnani and Chun-Po (Jerry) Chang for the incredible collaboration.

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