正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

We're open sourcing a 9B model that extracts structured data from documents at near-frontier performance. - 90.2% on our bench, vs Gemini 3.5 Flash at 91.3% - Leads extraction models like NuExtract3 (81.5%) - 9.5s p50 timings - Pass JSON schema

Vik Paruchuri

16,260 subscribers

214,820 次观看 • 1 天前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

Google's new fast model 3.5 Flash vs Cerebras

Google's new fast model 3.5 Flash vs Cerebras

Cerebras

144,625 次观看 • 1 个月前

Grok 4.1 Fast outperforms all major frontier models on τ²-Bench Telecom for agentic tool use Beating the newest models from Google (Gemini 3 Pro), Anthropic (Claude Opus 4.5), and OpenAI (GPT 5.2 xhigh)

Grok 4.1 Fast outperforms all major frontier models on τ²-Bench Telecom for agentic tool use Beating the newest models from Google (Gemini 3 Pro), Anthropic (Claude Opus 4.5), and OpenAI (GPT 5.2 xhigh)

X Freeze

40,853 次观看 • 5 个月前

Gemini 3 Flash is now available in MagicPath ⚡ From our earlier testing, it’s surprisingly strong at visual design for its size, and it’s fast! My recommendation: use it as your first-pass model to explore ideas, then switch to a bigger model for editing + refinements.

Gemini 3 Flash is now available in MagicPath ⚡ From our earlier testing, it’s surprisingly strong at visual design for its size, and it’s fast! My recommendation: use it as your first-pass model to explore ideas, then switch to a bigger model for editing + refinements.

Pietro Schirano

11,427 次观看 • 6 个月前

Gemini 3.5 Flash vs Gemini 3.1 Pro Same prompt. Flash is faster and cheaper. Design style is quite different. Which one do you prefer?

Gemini 3.5 Flash vs Gemini 3.1 Pro Same prompt. Flash is faster and cheaper. Design style is quite different. Which one do you prefer?

Mattia

152,835 次观看 • 1 个月前

Llama 4 seems to actually be a poor model for coding. Scout (109B) and Maverick (402B) underperform 4o, Gemini Flash, Grok 3, DeepSeek V3 and Sonnet 3.5/7 on the Kscores benchmark which tests on coding tasks like this. ELO-maxxing on LMarena doesn’t create the best models.

Llama 4 seems to actually be a poor model for coding. Scout (109B) and Maverick (402B) underperform 4o, Gemini Flash, Grok 3, DeepSeek V3 and Sonnet 3.5/7 on the Kscores benchmark which tests on coding tasks like this. ELO-maxxing on LMarena doesn’t create the best models.

Deedy

252,791 次观看 • 1 年前

LM Studio 0.3.4 ships with Apple MLX 🚢🍎 Run on-device LLMs super fast, 100% locally and offline on your Apple Silicon Mac! Includes: > run Llama 3.2 1B at ~250 tok/sec (!) on M3 > enforce structured JSON responses > use via chat UI, or from your own code > run multiple models simultaneously > download any model from Hugging Face Video at 1x speed.

LM Studio 0.3.4 ships with Apple MLX 🚢🍎 Run on-device LLMs super fast, 100% locally and offline on your Apple Silicon Mac! Includes: > run Llama 3.2 1B at ~250 tok/sec (!) on M3 > enforce structured JSON responses > use via chat UI, or from your own code > run multiple models simultaneously > download any model from Hugging Face Video at 1x speed.

LM Studio

171,577 次观看 • 1 年前

Introducing 𝗦𝘂𝗽𝗲𝗿 𝗝𝗦𝗢𝗡 𝗠𝗼𝗱𝗲, a framework for low latency structured output generation from LLMs. Generate JSON up to 𝟮𝟬𝘅 𝗳𝗮𝘀𝘁𝗲𝗿 from OpenAI and open source models. ❌ No need to threaten the model, tip the AI, etc ❌ Built with Alex Derhacobian 🔧 🧵👇

Introducing 𝗦𝘂𝗽𝗲𝗿 𝗝𝗦𝗢𝗡 𝗠𝗼𝗱𝗲, a framework for low latency structured output generation from LLMs. Generate JSON up to 𝟮𝟬𝘅 𝗳𝗮𝘀𝘁𝗲𝗿 from OpenAI and open source models. ❌ No need to threaten the model, tip the AI, etc ❌ Built with Alex Derhacobian 🔧 🧵👇

Varun Shenoy

166,119 次观看 • 2 年前

today we're open-sourcing Krea Realtime. this 14B autoregressive model is 10x larger than any open-source equivalent, and it can generate long-form videos at 11 fps on a single B200. weights and technical report below 👇

today we're open-sourcing Krea Realtime. this 14B autoregressive model is 10x larger than any open-source equivalent, and it can generate long-form videos at 11 fps on a single B200. weights and technical report below 👇

Krea

226,837 次观看 • 8 个月前

Supercomputer excels at motion design. Opus 4.7 vs Gemini 3.5 Flash Both videos were generated with Seedance 2.0. The era of agents crafting prompts for you is here.

Supercomputer excels at motion design. Opus 4.7 vs Gemini 3.5 Flash Both videos were generated with Seedance 2.0. The era of agents crafting prompts for you is here.

Higgsfield AI 🧩

49,389 次观看 • 1 个月前

It's crazy how easy it is to build agentic workflows now. Built a multi-step AI agent with AI SDK for Midday customer enrichment: - ToolLoopAgent with prepareStep for phase control - Gemini 2.5 Flash + URL Context to read websites directly - Google Search grounding for LinkedIn/social discovery - generateObject with Zod schema for structured extraction

It's crazy how easy it is to build agentic workflows now. Built a multi-step AI agent with AI SDK for Midday customer enrichment: - ToolLoopAgent with prepareStep for phase control - Gemini 2.5 Flash + URL Context to read websites directly - Google Search grounding for LinkedIn/social discovery - generateObject with Zod schema for structured extraction

Pontus Abrahamsson — oss/acc

31,774 次观看 • 5 个月前

Introducing Inversion, our family of structured LLMs. Our first generation models excel in structured tasks, offering unmatched speed, latency, reliability, and efficiency, with the most comprehensive typed JSON output support available anywhere.

Introducing Inversion, our family of structured LLMs. Our first generation models excel in structured tasks, offering unmatched speed, latency, reliability, and efficiency, with the most comprehensive typed JSON output support available anywhere.

John

212,951 次观看 • 2 年前

Gemini 3 Pro, Google’s latest model, is now available for all Warp users. Gemini 3 Pro impressed our team right out of the gate. It even performed 15% better than previous models on Terminal-Bench 2.0

Gemini 3 Pro, Google’s latest model, is now available for all Warp users. Gemini 3 Pro impressed our team right out of the gate. It even performed 15% better than previous models on Terminal-Bench 2.0

Warp

17,996 次观看 • 7 个月前

How much better are the internal, unreleased models at frontier labs like Google, OpenAI, and Anthropic? We got a glimpse exactly one year ago today, when Google accidentally leaked the “Kingfall” model "Kingfall" was likely an unreleased Gemini 2.5 Ultra-sized model. It was available in AI Studio for only a few minutes but remained accessible through the API for several days At the time, "Kingfall" appeared to be significantly better than Gemini 2.5 Pro at both code generation and creative writing In a recent interview, Sundar Pichai mentioned that Google could have made a better, Ultra-sized Gemini Omni model, but would have had trouble serving it The infrastructure required to serve Ultra-sized models at scale is likely why Google never publicly released models like “Kingfall”

How much better are the internal, unreleased models at frontier labs like Google, OpenAI, and Anthropic? We got a glimpse exactly one year ago today, when Google accidentally leaked the “Kingfall” model "Kingfall" was likely an unreleased Gemini 2.5 Ultra-sized model. It was available in AI Studio for only a few minutes but remained accessible through the API for several days At the time, "Kingfall" appeared to be significantly better than Gemini 2.5 Pro at both code generation and creative writing In a recent interview, Sundar Pichai mentioned that Google could have made a better, Ultra-sized Gemini Omni model, but would have had trouble serving it The infrastructure required to serve Ultra-sized models at scale is likely why Google never publicly released models like “Kingfall”

AiBattle

11,902 次观看 • 16 天前

Dexter now supports Grok models. Our models now span: 1 • openai 2 • anthropic 3 • gemini 4 • xAI 5 • ollama I love quick adds like this from our open source community.

Dexter now supports Grok models. Our models now span: 1 • openai 2 • anthropic 3 • gemini 4 • xAI 5 • ollama I love quick adds like this from our open source community.

virat

15,948 次观看 • 5 个月前

Introducing Batch URL Enrichment on our playground 🔥 Now you can process multiple URLs at a time in our playground with batch scrape & JSON mode. Upload a CSV, paste in a list, or enter URLs one by one to turn any collection of sites into structured LLM ready data in seconds.

Introducing Batch URL Enrichment on our playground 🔥 Now you can process multiple URLs at a time in our playground with batch scrape & JSON mode. Upload a CSV, paste in a list, or enter URLs one by one to turn any collection of sites into structured LLM ready data in seconds.

Firecrawl

18,215 次观看 • 8 个月前

Introducing o1 web crawler 🕸️ It crawls entire websites with OpenAI’s new o1 reasoning model and . Just state an objective and it will navigate + return the requested data in a JSON schema. Check it out:

Introducing o1 web crawler 🕸️ It crawls entire websites with OpenAI’s new o1 reasoning model and . Just state an objective and it will navigate + return the requested data in a JSON schema. Check it out:

Eric Ciarla (hiring)

397,759 次观看 • 1 年前

Salute to the Qwen team 🫡 We tested Qwen 3.7-Max, Gemini 3.5 Flash, GPT-5.5, and Claude Opus 4.7. The biggest shock came from Qwen. In less than a month (3.6 Max dropped April 20), Qwen went from the worst multimodal output on our sakura tree test, barely keeping up with Gemini, GPT, and Claude , to matching Gemini 3.5 Flash frame for frame on this soccer test, and outperforming GPT-5.5 and Claude Opus 4.7. It rendered a perfectly proportioned soccer player and the most lifelike ball in the entire test. Remarkable spatial reasoning. Also: Gemini 3.5 Flash is now faster than GPT-5.5, which used to be the fastest in our past tests.

Salute to the Qwen team 🫡 We tested Qwen 3.7-Max, Gemini 3.5 Flash, GPT-5.5, and Claude Opus 4.7. The biggest shock came from Qwen. In less than a month (3.6 Max dropped April 20), Qwen went from the worst multimodal output on our sakura tree test, barely keeping up with Gemini, GPT, and Claude , to matching Gemini 3.5 Flash frame for frame on this soccer test, and outperforming GPT-5.5 and Claude Opus 4.7. It rendered a perfectly proportioned soccer player and the most lifelike ball in the entire test. Remarkable spatial reasoning. Also: Gemini 3.5 Flash is now faster than GPT-5.5, which used to be the fastest in our past tests.

GMI Cloud

75,785 次观看 • 1 个月前

Introducing visual-json > JSON editing with human-first ergonomics – Minimalist – Embeddable – Schema-aware – Extensible – Drag and drop – Keyboard navigation – Tree view to drill into deeply nested data

Introducing visual-json > JSON editing with human-first ergonomics – Minimalist – Embeddable – Schema-aware – Extensible – Drag and drop – Keyboard navigation – Tree view to drill into deeply nested data

Chris Tate

168,286 次观看 • 4 个月前

We built a better alternative to json-render & A2UI Up to 3x faster rendering & 67% fewer tokens. Far fewer broken outputs. We've been shipping Generative UI interfaces to 10,000+ developers for the past year. We know where JSON-based rendering breaks in production. So we built a new format - one that works with how models actually generate, not against it. And today we're open sourcing it: openui [dot] com

We built a better alternative to json-render & A2UI Up to 3x faster rendering & 67% fewer tokens. Far fewer broken outputs. We've been shipping Generative UI interfaces to 10,000+ developers for the past year. We know where JSON-based rendering breaks in production. So we built a new format - one that works with how models actually generate, not against it. And today we're open sourcing it: openui [dot] com

Rabi Shanker Guha

129,442 次观看 • 3 个月前

Just launched (another) free SEO tool: insert a keyword and get structured data from pages ranking on Google. Useful to check what schema types your competitors are using with just one click Link below 👇

Just launched (another) free SEO tool: insert a keyword and get structured data from pages ranking on Google. Useful to check what schema types your competitors are using with just one click Link below 👇

Alessio

161,070 次观看 • 3 年前