AIIAR (TA)

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QwQ-32B-Preview

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Running on Zero

183

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OmniParser

updated 2 Spaces 5 months ago

Runtime error

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Image-Prompter

liked a Space 5 months ago

Running on Zero

2.66k

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Live Portrait

Apply the motion of a video on a portrait

reacted to nroggendorff's post with 👍 6 months ago

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We all agree google/gemma-2-27b-it is trash, right?

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reacted to KingNish's post with 👍 7 months ago

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Decoding GPT-4'o': Its Mechanisms and Creating Similar AI.

𝗥𝗲𝗮𝗱 𝗙𝘂𝗹𝗹 𝐀𝐫𝐭𝐢𝐜𝐥𝐞: https://huggingface.co/blog/KingNish/decoding-gpt-4o

𝐒𝐮𝐦𝐦𝐚𝐫𝐲 𝐨𝐟 𝐀𝐫𝐭𝐢𝐜𝐥𝐞- 📝
# 𝐌𝐞𝐜𝐡𝐚𝐧𝐢𝐜𝐬 𝐨𝐟 𝐆𝐏𝐓-𝟒’𝐨’: GPT-4’o’ operates through three main components 🛠️

𝟏. 𝐒𝐮𝐩𝐞𝐫𝐂𝐡𝐚𝐭: Integrates image generation, QnA (image, document and video) for diverse interactions.
𝟐. 𝐕𝐨𝐢𝐜𝐞 𝐂𝐡𝐚𝐭: Merges TTS and STT for real-time, human-like audio responses, focusing on human interaction.
𝟑. 𝐕𝐢𝐝𝐞𝐨 𝐂𝐡𝐚𝐭: Utilizes Zero Shot Image Classification to enhance user interaction with visual information.

# 𝐌𝐞𝐭𝐡𝐨𝐝𝐬 𝐭𝐨 𝐂𝐫𝐞𝐚𝐭𝐞 𝐒𝐢𝐦𝐢𝐥𝐚𝐫 𝐀𝐈 🧠

𝟏. 𝐌𝐮𝐥𝐭𝐢𝐌𝐨𝐝𝐚𝐥𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧: Combines multiple models for a powerful, multifunctional AI.
𝟐. 𝐃𝐮𝐜𝐭 𝐓𝐚𝐩𝐞 𝐌𝐞𝐭𝐡𝐨𝐝: Uses different models or APIs for specific tasks without additional training.

The article provides an in-depth exploration of GPT-4’o’, its functionalities, and methods to create similar AI models. It emphasizes the model’s language support and its innovative approach to human-AI interaction. 💡🌐

(𝙉𝙊𝙏𝙀: 𝙎𝙪𝙢𝙢𝙖𝙧𝙮 𝙞𝙨 𝘼𝙄 𝙜𝙚𝙣𝙚𝙧𝙖𝙩𝙚𝙙) ✅

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replied to Warlord-K's post 7 months ago

Consistency

liked a Space 8 months ago

Running on Zero

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Parler-TTS

High-fidelity Text-To-Speech

replied to alielfilali01's post 9 months ago

very true all has not yet been done there are still innovations ahead

reacted to alielfilali01's post with 👍 9 months ago

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2184

Honestly i don't understand how come we as the open source community haven't surpassed GPT-4 yet ? Like for me it looks like everything is out there just need to be exploited! Clearly specialized small models outperforms gpt4 on downstream tasks ! So why haven't we just trained a 1B-2B really strong general model and then continue pertained and/or finetuned it on datasets for downstream tasks like math, code...well structured as Textbooks format or other datasets formats that have been proven to be really efficient and good! Ounce you have 100 finetuned model, just wrap them all into a FrankenMoE and Voila ✨
And that's just what a NOOB like myself had in mind, I'm sure there is better, more efficient ways to do it ! So the question again, why we haven't yet ? I feel I'm missing something... Right?

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reacted to akhaliq's post with ❤️😎 9 months ago

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Mora

Enabling Generalist Video Generation via A Multi-Agent Framework

Mora: Enabling Generalist Video Generation via A Multi-Agent Framework (2403.13248)

Sora is the first large-scale generalist video generation model that garnered significant attention across society. Since its launch by OpenAI in February 2024, no other video generation models have paralleled {Sora}'s performance or its capacity to support a broad spectrum of video generation tasks. Additionally, there are only a few fully published video generation models, with the majority being closed-source. To address this gap, this paper proposes a new multi-agent framework Mora, which incorporates several advanced visual AI agents to replicate generalist video generation demonstrated by Sora. In particular, Mora can utilize multiple visual agents and successfully mimic Sora's video generation capabilities in various tasks, such as (1) text-to-video generation, (2) text-conditional image-to-video generation, (3) extend generated videos, (4) video-to-video editing, (5) connect videos and (6) simulate digital worlds. Our extensive experimental results show that Mora achieves performance that is proximate to that of Sora in various tasks. However, there exists an obvious performance gap between our work and Sora when assessed holistically. In summary, we hope this project can guide the future trajectory of video generation through collaborative AI agents.