💥 𝗚𝗼𝗼𝗴𝗹𝗲 𝗿𝗲𝗹𝗲𝗮𝘀𝗲𝘀 𝗚𝗲𝗺𝗶𝗻𝗶 𝟮.𝟬, 𝘀𝘁𝗮𝗿𝘁𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗮 𝗙𝗹𝗮𝘀𝗵 𝗺𝗼𝗱𝗲𝗹 𝘁𝗵𝗮𝘁 𝘀𝘁𝗲𝗮𝗺𝗿𝗼𝗹𝗹𝘀 𝗚𝗣𝗧-𝟰𝗼 𝗮𝗻𝗱 𝗖𝗹𝗮𝘂𝗱𝗲-𝟯.𝟲 𝗦𝗼𝗻𝗻𝗲𝘁! And they start a huge effort on agentic capabilities.

🚀 The performance improvements are crazy for such a fast model:
‣ Gemini 2.0 Flash outperforms the previous 1.5 Pro model at twice the speed
‣ Now supports both input AND output of images, video, audio and text
‣ Can natively use tools like Google Search and execute code

➡️ If the price is on par with previous Flash iteration ($0.30 / M tokens, to compare with GPT-4o's $1.25) the competition will have a big problem with this 4x cheaper model that gets better benchmarks 🤯

🤖 What about the agentic capabilities?

‣ Project Astra: A universal AI assistant that can use Google Search, Lens and Maps
‣ Project Mariner: A Chrome extension that can complete complex web tasks (83.5% success rate on WebVoyager benchmark, this is really impressive!)
‣ Jules: An AI coding agent that integrates with GitHub workflows

I'll be eagerly awaiting further news from Google!

Read their blogpost here 👉 https://blog.google/technology/google-deepmind/google-gemini-ai-update-december-2024/

liked 2 models 2 months ago

Qwen/Qwen2.5-7B-Instruct

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Qwen/Qwen2.5-72B-Instruct

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liked a model 5 months ago

apple/mistral-coreml

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liked a model 6 months ago

stabilityai/stable-diffusion-3-medium

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liked 3 models 7 months ago

updated a dataset 11 months ago

iarata/PHCR-DB25

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reacted to akhaliq's post with ❤️ 11 months ago

Post

Here is my selection of papers for today (12 Jan)

https://huggingface.co/papers

PALP: Prompt Aligned Personalization of Text-to-Image Models

Object-Centric Diffusion for Efficient Video Editing

TRIPS: Trilinear Point Splatting for Real-Time Radiance Field Rendering

Diffusion Priors for Dynamic View Synthesis from Monocular Videos

Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to-Image Generation

TOFU: A Task of Fictitious Unlearning for LLMs

Patchscope: A Unifying Framework for Inspecting Hidden Representations of Language Models

Secrets of RLHF in Large Language Models Part II: Reward Modeling

LEGO:Language Enhanced Multi-modal Grounding Model

DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Tuning LLMs with Contrastive Alignment Instructions for Machine Translation in Unseen, Low-resource Languages

A Shocking Amount of the Web is Machine Translated: Insights from Multi-Way Parallelism

Towards Conversational Diagnostic AI

Transformers are Multi-State RNNs

Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training

Distilling Vision-Language Models on Millions of Videos

Efficient LLM inference solution on Intel GPU

TrustLLM: Trustworthiness in Large Language Models

liked 2 models about 1 year ago

latent-consistency/lcm-lora-sdxl

Text-to-Image • Updated Nov 24, 2023 • 109k • 740

microsoft/Orca-2-13b

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