Wulab @wulab

Paris, France Joined October 2009

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Microsoft Research @MSFTResearch

2 years ago

Microsoft researchers are introducing AutoGen, a framework for simplifying the orchestration, optimization, and automation of workflows for large language model (LLM) applications—potentially transforming and extending what LLMs can do. Learn more: bit.ly/466e8NY

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Yann LeCun @ylecun

2 years ago

This is huge: Llama-v2 is open source, with a license that authorizes commercial use! This is going to change the landscape of the LLM market. Llama-v2 is available on Microsoft Azure and will be available on AWS, Hugging Face and other providers Pretrained and fine-tuned…

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Andrej Karpathy @karpathy

2 years ago

Code Interpreter Beta (rolling out to ChatGPT Plus) is quite powerful. It's your personal data analyst: can read uploaded files, execute code, generate diagrams, statistical analysis, much more. I expect it will take the community some time to fully chart its potential. To turn…

Ethan Mollick @emollick

2 years ago

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Lu Jiang @roadjiang

2 years ago

Fascinating research by Google reveals the power of Language Models (LLMs) like PaLM or GPT in tackling visual tasks using in-context learning. This novel method enables LLMs to perform image generation tasks without requiring any parameter updates. #palm #GPT4 #LLMs

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Wulab @wulab

2 years ago

Verifying my account on nostr My Public Key: "npub1fhqzqm2nwm39r2mtcdgumruzcmk55kp5djq74kuagf767csq4j5qeprvss" Find others at nostr.directory @NostrDirectory #nostr

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Shishir Patil @shishirpatil_

2 years ago

📢 Excited to release Gorilla🦍 Gorilla picks from 1000s of APIs to complete user tasks, surpassing even GPT-4! LLMs need to interact with the world through APIs, and Gorilla teaches LLMs APIs. Presenting Gorilla-Spotlight demo🤩 Webpage: gorilla.cs.berkeley.edu

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Philipp Schmid @_philschmid

2 years ago

New Open-source LLMs! 🤯 The Falcon has landed! 🦅 TII just released two new open-source LLMs called Falcon, which comes into size 7B trained on 1.5T tokens and 40B trained on 1T Tokens. 🚀🔥 7B: huggingface.co/tiiuae/falcon-… 40B: huggingface.co/tiiuae/falcon-…

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Alex Volkov (Thursd/AI) @altryne

2 years ago

Watching @karpathy presentation from today and taking twitter notes, come along for the ride: If you're like only the practical tips, skip to #32 @karpathy starts with stages: 1 - Pre-training - months x thousands of GPUs 2, 3, 4 - Finetuning stages that take hours or days 1/

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Hugging Face @huggingface

2 years ago

We just released Transformers' boldest feature: Transformers Agents. This removes the barrier of entry to machine learning Control 100,000+ HF models by talking to Transformers and Diffusers Fully multimodal agent: text, images, video, audio, docs...🌎 huggingface.co/docs/transform…

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Yann LeCun @ylecun

2 years ago

IMAGEBIND: One Embedding Space To Bind Them All. Learns a joint embedding across six different modalities - images, text, audio, depth, thermal, and IMU data. An open source project by Meta-FAIR. Paper: dl.fbaipublicfiles.com/imagebind/imag… Demo: imagebind.metademolab.com Code:…

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Haotian Liu @imhaotian

2 years ago

🚀Introducing LLaVA Lightning: Train a lite, multimodal GPT-4 with just $40 in 3 hours! With our newly introduced datasets and the efficient design of LLaVA, you can now turbocharge your language model with image reasoning capabilities, in an incredibly affordable way.🧵

Chunyuan Li @ChunyuanLi

3 years ago

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Databricks Mosaic Research @DbrxMosaicAI

2 years ago

📢 Introducing MPT: a new family of open-source commercially usable LLMs from @MosaicML. Trained on 1T tokens of text+code, MPT models match and - in many ways - surpass LLaMa-7B. This release includes 4 models: MPT-Base, Instruct, Chat, & StoryWriter (🧵) mosaicml.com/blog/mpt-7b

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Modular @Modular

2 years ago

Mojo🔥 combines the usability of Python with the performance of C, unlocking unparalleled programmability of AI hardware and extensibility of AI models. Also, it's up to 35000x faster than Python 🤯 and … deploys 🏎

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Aakash Kumar Nain @A_K_Nain

3 years ago

The code example for Denoising Diffusion Probabilistic Models in Keras is live on the site! 🥳🥳 What's in the code example, and why should you go through it? A thread 👇 keras.io/examples/gener…

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Nathan Lambert @natolambert

3 years ago

Very excited to share an introduction to reinforcement learning from human feedback! In collaboration with @lvwerra and @lcastricato + @Dahoas1 from @carperai. We take you on the journey I went on this week, from 0 to PhD. huggingface.co/blog/rlhf

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Wulab @wulab

3 years ago

ChatGPT: Optimizing Language Models for Dialogue openai.com/blog/chatgpt/

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Frank Hutter @FrankRHutter

3 years ago

This may revolutionize data science: we introduce TabPFN, a new tabular data classification method that takes 1 second & yields SOTA performance (better than hyperparameter-optimized gradient boosting in 1h). Current limits: up to 1k data points, 100 features, 10 classes. 🧵1/6