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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 💻

Caleb

3,993 subscribers

13,413 次观看 • 5 个月前 •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.

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.

Hatice Ozen

82,049 次观看 • 11 个月前

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 🤗

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 🤗

Vaibhav (VB) Srivastav

45,098 次观看 • 11 个月前

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 & 🧵

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 & 🧵

Rick Lamers

26,321 次观看 • 10 个月前

🤯🤯 That's insane! Hugging Face just shipped Data Studio on dataset pages... Ask a question about any dataset, the agent writes and runs a SQL query... then share the result or download as CSV... check it out! 👀 ⤵️ Wow GG Caleb 👏

🤯🤯 That's insane! Hugging Face just shipped Data Studio on dataset pages... Ask a question about any dataset, the agent writes and runs a SQL query... then share the result or download as CSV... check it out! 👀 ⤵️ Wow GG Caleb 👏

Jeff Boudier 🤗

19,703 次观看 • 1 年前

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.

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.

kwindla

202,128 次观看 • 11 个月前

Interested in seeing how AI at Meta LLama 3.1 70B powered by Groq compares to OpenAI GPT-4o and GPT-4o Mini? We were too, so we decided to have them face off in the StreetFighter LLM Colosseum by Stan Girard and the team at Phospho.

Interested in seeing how AI at Meta LLama 3.1 70B powered by Groq compares to OpenAI GPT-4o and GPT-4o Mini? We were too, so we decided to have them face off in the StreetFighter LLM Colosseum by Stan Girard and the team at Phospho.

Groq Inc

179,931 次观看 • 2 年前

Manual work is dead. Our Cloud agent can now: - download a file - upload the file somewhere else - make it available for you to download after its done Fast and cheap, powered by LLaMA on Groq Inc. Zero manual steps. Just results. Built with Browser Use

Manual work is dead. Our Cloud agent can now: - download a file - upload the file somewhere else - make it available for you to download after its done Fast and cheap, powered by LLaMA on Groq Inc. Zero manual steps. Just results. Built with Browser Use

Larsen Cundric

21,350 次观看 • 1 年前

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:

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:

Alvaro Cintas

665,082 次观看 • 2 年前

BOOOOM! You can now run OpenAI gpt-oss 20B natively in Colaboratory T4 for FREE! 🔥 Powered by Transformers ⚡ The setup takes a bit since everything is bleeding edge, but once done it should work as expected Link to our cookbook in comments 👇

BOOOOM! You can now run OpenAI gpt-oss 20B natively in Colaboratory T4 for FREE! 🔥 Powered by Transformers ⚡ The setup takes a bit since everything is bleeding edge, but once done it should work as expected Link to our cookbook in comments 👇

Vaibhav (VB) Srivastav

37,474 次观看 • 11 个月前

ClawRouter for OpenClaw🦞 reach 2000 stars🌟 within 7d launch. We shipped 5 fixes in the last 24 hrs: • New /v1/responses endpoint for Grok • Fixed nested output parsing • Real usage stats now visible on /stats • Free GPT 120B fallback AlwaysOn • Free GPT 120B with shortcut /model free All live on BlockRunAI. Shipping at inference-speed Peter Steinberger 🦞

ClawRouter for OpenClaw🦞 reach 2000 stars🌟 within 7d launch. We shipped 5 fixes in the last 24 hrs: • New /v1/responses endpoint for Grok • Fixed nested output parsing • Real usage stats now visible on /stats • Free GPT 120B fallback AlwaysOn • Free GPT 120B with shortcut /model free All live on BlockRunAI. Shipping at inference-speed Peter Steinberger 🦞

Vicky

71,988 次观看 • 5 个月前

In Oct. 2025, I created a browser agent extension for Chrome. Here it is beating the crap out of OpenAI Atlas by cheating. It is now OSS. Go forth, and fork/remix/make it your own.

In Oct. 2025, I created a browser agent extension for Chrome. Here it is beating the crap out of OpenAI Atlas by cheating. It is now OSS. Go forth, and fork/remix/make it your own.

Mario Zechner

24,149 次观看 • 4 个月前

We shipped an OSS 'vibe coding platform' (like v0) built with Vercel AI SDK, Gateway and Sandbox. We worked with OpenAI to tune the GPT-5 agent loop. It can write/read files, run commands, install packages, autofix errors… Demo oneshotting a multiplayer Pong in Go ↓

We shipped an OSS 'vibe coding platform' (like v0) built with Vercel AI SDK, Gateway and Sandbox. We worked with OpenAI to tune the GPT-5 agent loop. It can write/read files, run commands, install packages, autofix errors… Demo oneshotting a multiplayer Pong in Go ↓

Guillermo Rauch

794,066 次观看 • 10 个月前

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.

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.

Databricks

10,090 次观看 • 11 个月前

I'm excited to announce the release of the Naijaweb 🇳🇬 dataset. Naijaweb is a 270,000 (230Million GPT2 tokens) document dataset of webpages which Nigerians have shown interest in, it was cleaned with the same techniques done on the Fineweb dataset by Hugging Face. A thread 🧵..

I'm excited to announce the release of the Naijaweb 🇳🇬 dataset. Naijaweb is a 270,000 (230Million GPT2 tokens) document dataset of webpages which Nigerians have shown interest in, it was cleaned with the same techniques done on the Fineweb dataset by Hugging Face. A thread 🧵..

Saheedniyi

188,227 次观看 • 1 年前

Our OSS engineer Clelia Bertelli (🦙/acc) recently built 𝗹𝗶𝘁𝗲𝘀𝗲𝗮𝗿𝗰𝗵, a fully local document ingestion and retrieval CLI/TUI application powered by LiteParse ⚡ litesearch demonstrates how developers can assemble a high-performance, local-first retrieval pipeline using open tools from across the ecosystem: • Parsing: LiteParse, the fast and accurate document parser we recently open sourced • Chunking: Chonkie • Embeddings: A local Nomic model via Hugging Face transformers.js • Vector storage: A local Qdrant edge shard (custom-built in Rust and compiled as a native add-on) • Retrieval: Query stored files with optional path-based filtering and configurable relevance thresholds • Runtime: Bun for speed and versatility 💻 Check out the repository and try it yourself: 📚 LiteParse docs:

Our OSS engineer Clelia Bertelli (🦙/acc) recently built 𝗹𝗶𝘁𝗲𝘀𝗲𝗮𝗿𝗰𝗵, a fully local document ingestion and retrieval CLI/TUI application powered by LiteParse ⚡ litesearch demonstrates how developers can assemble a high-performance, local-first retrieval pipeline using open tools from across the ecosystem: • Parsing: LiteParse, the fast and accurate document parser we recently open sourced • Chunking: Chonkie • Embeddings: A local Nomic model via Hugging Face transformers.js • Vector storage: A local Qdrant edge shard (custom-built in Rust and compiled as a native add-on) • Retrieval: Query stored files with optional path-based filtering and configurable relevance thresholds • Runtime: Bun for speed and versatility 💻 Check out the repository and try it yourself: 📚 LiteParse docs:

LlamaIndex 🦙

14,856 次观看 • 3 个月前

Introducing ChatGPT Work, a new agent in ChatGPT powered by Codex and GPT-5.6. It can take action across your apps and files, stay with a project for hours if needed, and turn a goal into finished work. It’s a whole new way to get work done.

Introducing ChatGPT Work, a new agent in ChatGPT powered by Codex and GPT-5.6. It can take action across your apps and files, stay with a project for hours if needed, and turn a goal into finished work. It’s a whole new way to get work done.

OpenAI

9,490,052 次观看 • 6 天前

Tried generating images with LLMs before? You're usually stuck with one model, one style, one result at a time. ASI:One breaks that.⚡ Now you can call multiple image generation agents from the same prompt, in the same window. Pick the best. Compare styles. Iterate faster. All powered by agents on Agentverse. Agents used: Stability AI based model on Hugging Face: BlackForestLabsAI - Unofficial on Hugging Face: OpenAI Dall-E: Watch now👇

Tried generating images with LLMs before? You're usually stuck with one model, one style, one result at a time. ASI:One breaks that.⚡ Now you can call multiple image generation agents from the same prompt, in the same window. Pick the best. Compare styles. Iterate faster. All powered by agents on Agentverse. Agents used: Stability AI based model on Hugging Face: BlackForestLabsAI - Unofficial on Hugging Face: OpenAI Dall-E: Watch now👇

Fetch.ai

29,075 次观看 • 1 年前

Qwen-2.5 on WebGPU 🏎️ • 42 tok/sec for Qwen2.5-Coder-1.5B on Mac ⚡ • Powered by MLC WebLLM and WebGPU 🔥 Watch Qwen2.5-Coder-1.5B build a website entirely in the browser!

Qwen-2.5 on WebGPU 🏎️ • 42 tok/sec for Qwen2.5-Coder-1.5B on Mac ⚡ • Powered by MLC WebLLM and WebGPU 🔥 Watch Qwen2.5-Coder-1.5B build a website entirely in the browser!

Caleb

41,579 次观看 • 1 年前

Excited to release: Jupyter Agent 2 The agent can load data, execute code, plot results inside Jupyter faster than you can scroll! 🤖 Powered by Qwen3-Coder ⚡️ Running on Cerebras ⚙️ Executed in E2B ↕️ Upload your files All videos are in *real time*!

Excited to release: Jupyter Agent 2 The agent can load data, execute code, plot results inside Jupyter faster than you can scroll! 🤖 Powered by Qwen3-Coder ⚡️ Running on Cerebras ⚙️ Executed in E2B ↕️ Upload your files All videos are in real time!

Leandro von Werra

66,234 次观看 • 11 个月前