Emu2 – A Gemini-like open-source 37B Multimodal Model

Hacker News

Hello HN, I'm excited to introduce Emu2, the latest generative multimodal model developed by the Beijing Academy of Artificial Intelligence (BAAI). Emu2 is an open-source initiative that reflects BAAI's commitment to fostering open, secure, and responsible AI research. It's designed to enhance AI's proficiency in handling tasks across various modalities with minimal examples and straightforward instructions. Emu2 has demonstrated superior performance over other large-scale models like Flamingo-80B in few-shot multimodal understanding tasks. It serves as a versatile base model for developers, providing a flexible platform for crafting specialized multimodal applications. Key features of Emu2 include: - A more streamlined modeling framework than its predecessor, Emu. - A decoder capable of reconstructing images from the encoder's semantic space. - An expansion to 37 billion parameters, boosting both capabilities and generalization. BAAI has also released fine-tuned versions, Emu2-Chat for visual understanding and Emu2-Gen for visual generation, which stand as some of the most powerful open-source models available today. Here are the resources for those interested in exploring or contributing to Emu2: - Project: https://baaivision.github.io/emu2/ - Model: https://huggingface.co/BAAI/Emu2 - Code: https://github.com/baaivision/Emu/tree/main/Emu2 - Demo: https://huggingface.co/spaces/BAAI/Emu2 - Paper: https://arxiv.org/abs/2312.13286 We're eager to see how the HN community engages with Emu2 and we welcome your feedback to help us improve. Let's collaborate to push the boundaries of multimodal AI!

Visit product View on Hacker NewsDec 22, 2023

Share card

Actual performance

153points

27comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: model, models, visual · Missing: mac, agents, macos

96%96% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: para, gemini · Missing: supports, reddit linkedin, podcasting

89%89% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: excited, io · Missing: https docs, just released, exist

60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: para · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

10%10% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat, collaborate, introduce · Missing: web3, crypto, cryptocurrency

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Emu2 – A Gemini-like open-source 37B Multimodal Model60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Emu2 – A Gemini-like open-source 37B Multimodal Model

Hacker News3

Open source dcurt.is like Kudos buttons63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Open source dcurt.is like Kudos buttons

Hacker News1

Glitch – open-source Twitch Like Platform55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Glitch – open-source Twitch Like Platform

Hacker News9

Evening hack: open source tool like BuiltWith/Datanyze55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Evening hack: open source tool like BuiltWith/Datanyze

Hacker News20

MSD: A Red Hat-Like Business for Open Source EDA (Verilog, VHDL, etc.)63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

MSD: A Red Hat-Like Business for Open Source EDA (Verilog, VHDL, etc.)

Hacker News3

OpenRDMA-An Open Source FPGA-Based 400G RDMA-Like SmartNIC68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

OpenRDMA-An Open Source FPGA-Based 400G RDMA-Like SmartNIC

Hacker News2

Open-source StackOverflow-like service72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Open-source StackOverflow-like service

Hacker News74

GLM-4.6V93%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Open-source multimodal model with native tool use

Product Hunt+237Open Source

A Open Source Gemini Pro Chat43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Open Source Gemini Pro Chat

Hacker News2

SlideSelection, an Open Source Hooper Selection Implementation47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SlideSelection, an Open Source Hooper Selection Implementation

Hacker News4

Browse all products Analyze your launch