Groq

Groq

半导体制造业

Mountain View,California 108,363 位关注者

Groq builds the world’s fastest AI inference technology.

关于我们

Groq is fast AI Inference. The Groq LPU? AI Inference Technology delivers exceptional compute speed, quality, and energy efficiency. Groq, headquartered in Silicon Valley, provides cloud and on-prem inference at scale for AI applications. The LPU and related systems are designed, fabricated, and assembled in North America. Learn more and try Groq speed today at groq.com.

网站
https://groq.com/
所属行业
半导体制造业
规模
51-200 人
总部
Mountain View,California
类型
私人持股
创立
2016
领域
ai、ml、artificial intelligence、machine learning、engineering、hiring、compute、innovation、semiconductor、llm、large language model、gen ai、systems solution、generative ai、inference、LPU和Language Processing Unit

地点

Groq员工

动态

  • 查看Groq的公司主页,图片

    108,363 位关注者

    We were honored that our CEO & Founder, Jonathan Ross, was invited to participate in a panel today about Building Blocks of the AI Stack of Tomorrow at the Morgan Stanley Annual Spark Conference, which included >500 private company CEOs, business leaders & investors.

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  • 查看Groq的公司主页,图片

    108,363 位关注者

    Looking forward to meeting the dev community in Montreal! Come compete for the Best on Groq prize ??

    查看Cerebral Valley的公司主页,图片

    4,506 位关注者

    Canada doesn't have enough AI. Hyped to announce the first Llama Hackathon in MONTREAL with AI at Meta ???? Get big GPUs from Nebius, fastest inference by Groq, and IRL mentorship from Meta researchers ? November 2-3 Mila - Quebec Artificial Intelligence Institute Cash prizes, credits, and more - link below ?? https://lu.ma/qefttgdb

    L’AI pour le Canada : Marathon de programmation Meta Llama à Montréal | AI For Canada: Meta Llama Hackathon Montreal · Luma

    L’AI pour le Canada : Marathon de programmation Meta Llama à Montréal | AI For Canada: Meta Llama Hackathon Montreal · Luma

    lu.ma

  • 查看Groq的公司主页,图片

    108,363 位关注者

    This is great!

    查看Misbah Syed的档案,图片

    AI Builder | Educator

    ?? Launching BrainyRead – Convert YouTube videos into Notion-like pages using AI! Built using: NextJs – Web Framework LangChain – LLM Framework Supabase – Auth & Database Groq – Transcription CursorAI + Anthropic Claude 3.5 – IDE v0 by Vercel – UI Novel (by Steven Tey) + Tiptap – Editor How BrainyRead works: - The video is transcribed using Groq Whisper. - OpenAI GPT-4o-mini vision model analyzes the content and generates the article in the backend. - The article is displayed in a sleek Notion-like interface using Novel and Tiptap. Key Benefits: - Convert videos into SEO-friendly blog posts. - Write articles or book chapters directly from videos. - Watch, read, and interact with video content (code, visuals). - Instructional videos (cooking, DIY, courses, etc.) are converted into easy-to-follow, stepwise written formats. Features: - Ask AI to expand, shorten, explain, or regenerate topics based on video content. - Export or publish generated articles. - Users can fork published articles for personal study. - Extract transcripts, code snippets, and visuals from videos. ?? Check out the app here: https://lnkd.in/gQESJuKZ Feedback is much appreciated!

  • 查看Groq的公司主页,图片

    108,363 位关注者

    Love this!

    ?????????? are the agent's ???????????? ???????????????????? ?? A Custom Tool to make Groq agents sing ?? ?? ----- As I said in previous posts: It's not about complex prompts. It's not about the best LLMs. ???????? ??????????, ????'?? ???????????? ?????????? ???????????? ?????? ?????????? ??????????. ?? In practice, you can build tools for whatever you want (at the end of the day they are just functions the LLM can use), from a tool that let's you access Wikipedia, another to analyse the content of YouTube videos or calculate difficult integrals using Wolfram Alpha. ?? ?? ???????????? ???????? ?????? ???????? ???? Today, I bring you a custom tool for interacting with Suno AI, the application that generates songs using Gen AI models. My idea was to create an application that would allow the user to generate songs about ANY topic (from Elon Musk's latest tweet to the hottest discovery in Geology). As you can imagine, I'd need a way for the LLM to: 1?? ???????????? ?????? ???????????????? to search for relevant and recent content on the subject. 2?? ?????????? ???????????? from the content fetched from the Internet following a specific style. 3?? ?????????????? ?????? ???????????? ???? ???????? ????, so we can generate the music. This step will involve using the custom tool I mentioned before. ----- ?? ???????????? ?????????????? ?????????????????????? I've structured the application into two services (following the Docker Compose terminology): ?? ?????????????? ?? Contains the implementation of the multi-agent system as well as the creation of a custom tool that will allow the agents to "talk" to Suno AI. In addition, it exposes a Streamlit frontend on port 8501. ?? ?????????????? ?? This service exposes the Suno API (an unofficial API by the way) on port 3000. Using this port, the crewAI agents will be able to interact with Suno. ----- Check out the song I made about Elon Musk and Yann LeCun below! Hope you like it ?? (If you want to learn more about the project, see how the tool works, or watch the full YouTube video, I'll drop everything in the comments! ?? ) ?? ???????????? ???? ?????? ???????????????? ?????????????? ???? ???????????????????? ????, ?????????? ?????? ???????????????????? ???? #mlops #machinelearning #datascience #llm

  • 查看Groq的公司主页,图片

    108,363 位关注者

    Future Groqsters ?? Applied to Groq and wondering about next steps? Here’s what it looks like: - We’ll review your resume — it's humans, not AI, doing this so thank you for your patience ?? - If your profile best matches our needs, you’ll hear from a recruiter to kick off the screening and interview process - IMPORTANT: You will only get communications from an official @groq.com email address. Learn more about recruiting scams at groq.link/recruitfraud Haven't applied yet? Explore open positions at groq.com/careers

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融资

Groq 共 6 轮

上一轮

D 轮

US$640,000,000.00

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