🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

🥁 Did you know that Weights & Biases has an in-built audio player + waveform visualizer 😱 🎸 Generate your own music using MusicGen (from @MetaAI ) + WandB on Colab → wandb.me/musicgen-colab 📣 Shoutout to Atanu Sarkar for building the spectrogram visualization!

Competition launch alert! Stanford Ribonanza RNA Folding competition hosted by @rdaslab, Eterna, Stanford Medicine, Shujun.He. , HHMI 🎯 Create a model that predicts the structures of any RNA molecule 💰: $100K ⏰: 11/30/2023 (entry deadline) 🤯: dataset is ~100x larger than

🎨 I created a prototype for a Weights & Biases integration with Fooocus, that allows you to effortlessly manage all your experiments, along with the generated images, prompts, and all the associated configs. 👉 Pull Request → github.com/lllyasviel/Foo… (1/6)🧵👇

Let's look at different tokenizers in action -- explaining so much of how a LLM "sees" text. New Video! (link in response) We have carefully crafted a piece of text that reveals so much about how a LLM parses its input. We pass it to BERT, GPT4, GPT2, Galactica, Starcoder,

The new Professional Machine Learning Engineer beta exam is now 🟢 open 🟢 Review the beta exam guide to get started today → goo.gle/46tDghF

Why should LLMs have all the fun from RL for better alignment? 🤨 Today, we're releasing a post on "RL ❤️ diffusion" covering: 1️⃣ what is DDPO 2️⃣ how it differs from RLHF 3️⃣ how to use 🤗 TRL for SD fine-tuning on aesthetics Check it out here ⬇️ huggingface.co/blog/trl-ddpo

Hello, community! Publishing my new research on BLIP-based Medical Visual Question Answering at Kaggle link - bit.ly/3tl4SXH Hugging Face #DataScience #DataAnalytics #MachineLearning #GenAI #LLMs #kaggle #Medical #Medicare #AI #hugginface

LLMs can hallucinate and lie. They can be jailbroken by weird suffixes. They memorize training data and exhibit biases. 🧠 We shed light on all of these phenomena with a new approach to AI transparency. 🧵 Website: ai-transparency.org Paper: arxiv.org/abs/2310.01405

Mastering Customer Segmentation with LLM towardsdatascience.com/mastering-cust…

LLMs are Interpretable timkellogg.me/blog/2023/10/0…

The Kaggle AI Report is finally here! 🙏 It covers an extremely diverse range of themes. For anyone interested, the report contains some of the best technical essays on a wide ensemble of topics Kaggle truly is the home of Data Science, all ideas and knowledge from the

Labeling bio images just got 10x faster 🏎️ Watch our best AI model yet in action, released today as AI Detect on Biodock AI. You prompt one object, it finds the rest. Try it for free now!

ChatGPT-4/V is being challenged by LLaVA v1.5/V. It's open-source and totally free. A comparison of the LLaVA v1.5/V with ChatGPT-4/V:

The definitive guide to RAG in production! 🙏 Goku Mohandas walks us through implementing RAG from scratch, building a scalable app It now has updated discussion on embedding fine-tuning, re-ranking and effectively routing requests I think this is easily the most complete

Do you remember when you joined X? I do! #MyXAnniversary

Google can now generate high-quality AI images. And it's completely FREE to use! Here's a step-by-step guide on how to use it:

THEY RENAMED IT. WE WON

RIP image annotation companies Fully automated image labeling with GroundingDINO + SAM + OpenAI Vision API code: github.com/roboflow/aweso…

The most valuable AI skill you can learn today: Learn how to build Retrieval Augmented Generation (RAG) applications using Large Language Models. So far, RAG applications are the most helpful outcome of the AI revolution. Everyone is using Large Language Models. We'll see an