This ChatGPT Skill will earn you $10B (also, AI reads your mind!) | ML News

Yannic Kilcher · Beginner ·🧠 Large Language Models ·3y ago
#mlnews #chatgpt #llama ChatGPT goes around the world and is finally available via API. Stunning mind-reading performed using fMRI and Stable Diffusion. LLaMA weights leak and hilarity ensues. GTC23 is around the corner! ERRATA: It's a 4090, not a 4090 ti 🙃 OUTLINE: 0:00 - Introduction 0:20 - GTC 23 on March 20 1:55 - ChatGPT API is out! 4:50 - OpenAI becomes more business-friendly 7:15 - OpenAI plans for AGI 10:00 - ChatGPT influencers 12:15 - Open-Source Prompting Course 12:35 - Flan UL2 20B 13:30 - LLaMA weights leaked 15:50 - Mind-Reading from fMRI 20:10 - Random News / Helpful Things 25:30 - Interview with Bryan Catanzaro Participate in the GTC Raffle: https://ykilcher.com/gtc References: GTC 23 on March 20 https://www.nvidia.com/gtc/ https://ykilcher.com/gtc ChatGPT API is out! https://twitter.com/gdb/status/1630991925984755714 https://openai.com/blog/introducing-chatgpt-and-whisper-apis https://twitter.com/greggyb/status/1631121912679002112 https://www.haihai.ai/chatgpt-api/ OpenAI becomes more business-friendly https://twitter.com/sama/status/1631002519311888385 https://techcrunch.com/2023/02/21/openai-foundry-will-let-customers-buy-dedicated-capacity-to-run-its-ai-models/?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAAFL1O8s22qBsEtytYZWR7O2VlTa9nAGhdZPFfeQfZCDWjkNBIac7WlDikRNLEH1tqSszUN02ouqRyyCsShDa1kQyUbiApD1IUPfgmHXZxgIMFxr8bwr8BuBa7sK55dYqMRFFbE7YILuBn_rmj7aJI1tp7GAXubODfCUaKvOkoOYj https://www.bain.com/vector-digital/partnerships-alliance-ecosystem/openai-alliance/ OpenAI plans for AGI https://openai.com/blog/planning-for-agi-and-beyond ChatGPT influencers https://www.youtube.com/watch?v=4kp7oVTu9Ck https://www.youtube.com/watch?v=k13v8jp8H5o https://www.linkedin.com/posts/eniascailliau_create-an-online-course-100-ai-ugcPost-7036969935796891648-H_uj/ https://www.linkedin.com/posts/linasbeliunas_must-know-ai-tools-ugcPost-7035700089947836416-Qri4/ https://twitter.com/LinusEkenstam/status/1629879567514238976 h
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1 Imagination-Augmented Agents for Deep Reinforcement Learning
Imagination-Augmented Agents for Deep Reinforcement Learning
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 2 Learning model-based planning from scratch
Learning model-based planning from scratch
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 3 Reinforcement Learning with Unsupervised Auxiliary Tasks
Reinforcement Learning with Unsupervised Auxiliary Tasks
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 4 Attention Is All You Need
Attention Is All You Need
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 5 git for research basics: fundamentals, commits, branches, merging
git for research basics: fundamentals, commits, branches, merging
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 6 Curiosity-driven Exploration by Self-supervised Prediction
Curiosity-driven Exploration by Self-supervised Prediction
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 7 World Models
World Models
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 8 Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
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 9 Stochastic RNNs without Teacher-Forcing
Stochastic RNNs without Teacher-Forcing
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 10 What’s in a name? The need to nip NIPS
What’s in a name? The need to nip NIPS
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 11 BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
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 12 Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
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 13 GPT-2: Language Models are Unsupervised Multitask Learners
GPT-2: Language Models are Unsupervised Multitask Learners
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 14 Neural Ordinary Differential Equations
Neural Ordinary Differential Equations
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 15 The Odds are Odd: A Statistical Test for Detecting Adversarial Examples
The Odds are Odd: A Statistical Test for Detecting Adversarial Examples
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 16 Discriminating Systems - Gender, Race, and Power in AI
Discriminating Systems - Gender, Race, and Power in AI
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 17 Blockwise Parallel Decoding for Deep Autoregressive Models
Blockwise Parallel Decoding for Deep Autoregressive Models
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 18 S.H.E. - Search. Human. Equalizer.
S.H.E. - Search. Human. Equalizer.
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 19 Reinforcement Learning, Fast and Slow
Reinforcement Learning, Fast and Slow
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 20 Adversarial Examples Are Not Bugs, They Are Features
Adversarial Examples Are Not Bugs, They Are Features
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 21 I'm at ICML19 :)
I'm at ICML19 :)
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 22 Population-Based Search and Open-Ended Algorithms
Population-Based Search and Open-Ended Algorithms
Yannic Kilcher
 23 XLNet: Generalized Autoregressive Pretraining for Language Understanding
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Yannic Kilcher
 24 Conversation about Population-Based Methods (Re-upload)
Conversation about Population-Based Methods (Re-upload)
Yannic Kilcher
 25 Reconciling modern machine learning and the bias-variance trade-off
Reconciling modern machine learning and the bias-variance trade-off
Yannic Kilcher
 26 Learning World Graphs to Accelerate Hierarchical Reinforcement Learning
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning
Yannic Kilcher
 27 Manifold Mixup: Better Representations by Interpolating Hidden States
Manifold Mixup: Better Representations by Interpolating Hidden States
Yannic Kilcher
 28 Processing Megapixel Images with Deep Attention-Sampling Models
Processing Megapixel Images with Deep Attention-Sampling Models
Yannic Kilcher
 29 Gauge Equivariant Convolutional Networks and the Icosahedral CNN
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
Yannic Kilcher
 30 Auditing Radicalization Pathways on YouTube
Auditing Radicalization Pathways on YouTube
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 31 RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
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 32 Dynamic Routing Between Capsules
Dynamic Routing Between Capsules
Yannic Kilcher
 33 DEEP LEARNING MEME REVIEW - Episode 1
DEEP LEARNING MEME REVIEW - Episode 1
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 34 Accelerating Deep Learning by Focusing on the Biggest Losers
Accelerating Deep Learning by Focusing on the Biggest Losers
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 35 [News] The Siraj Raval Controversy
[News] The Siraj Raval Controversy
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 36 LeDeepChef 👨‍🍳 Deep Reinforcement Learning Agent for Families of Text-Based Games
LeDeepChef 👨‍🍳 Deep Reinforcement Learning Agent for Families of Text-Based Games
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 37 The Visual Task Adaptation Benchmark
The Visual Task Adaptation Benchmark
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 38 IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
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 39 AlphaStar: Grandmaster level in StarCraft II using multi-agent reinforcement learning
AlphaStar: Grandmaster level in StarCraft II using multi-agent reinforcement learning
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 40 SinGAN: Learning a Generative Model from a Single Natural Image
SinGAN: Learning a Generative Model from a Single Natural Image
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 41 A neurally plausible model learns successor representations in partially observable environments
A neurally plausible model learns successor representations in partially observable environments
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 42 MuZero: Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
MuZero: Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
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 43 Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map Them to Actions
Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map Them to Actions
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 44 NeurIPS 19 Poster Session
NeurIPS 19 Poster Session
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 45 Go-Explore: a New Approach for Hard-Exploration Problems
Go-Explore: a New Approach for Hard-Exploration Problems
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 46 Reformer: The Efficient Transformer
Reformer: The Efficient Transformer
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 47 [Interview] Mark Ledwich - Algorithmic Extremism: Examining YouTube's Rabbit Hole of Radicalization
[Interview] Mark Ledwich - Algorithmic Extremism: Examining YouTube's Rabbit Hole of Radicalization
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 48 Turing-NLG, DeepSpeed and the ZeRO optimizer
Turing-NLG, DeepSpeed and the ZeRO optimizer
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 49 Growing Neural Cellular Automata
Growing Neural Cellular Automata
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 50 NeurIPS 2020 Changes to Paper Submission Process
NeurIPS 2020 Changes to Paper Submission Process
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 51 Deep Learning for Symbolic Mathematics
Deep Learning for Symbolic Mathematics
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 52 Online Education - How I Make My Videos
Online Education - How I Make My Videos
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 53 [Rant] coronavirus
[Rant] coronavirus
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 54 Axial Attention & MetNet: A Neural Weather Model for Precipitation Forecasting
Axial Attention & MetNet: A Neural Weather Model for Precipitation Forecasting
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 55 Agent57: Outperforming the Atari Human Benchmark
Agent57: Outperforming the Atari Human Benchmark
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 56 State-of-Art-Reviewing: A Radical Proposal to Improve Scientific Publication
State-of-Art-Reviewing: A Radical Proposal to Improve Scientific Publication
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 57 Dream to Control: Learning Behaviors by Latent Imagination
Dream to Control: Learning Behaviors by Latent Imagination
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 58 POET: Endlessly Generating Increasingly Complex and Diverse Learning Environments and Solutions
POET: Endlessly Generating Increasingly Complex and Diverse Learning Environments and Solutions
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 59 Evaluating NLP Models via Contrast Sets
Evaluating NLP Models via Contrast Sets
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 60 [Drama] Who invented Contrast Sets?
[Drama] Who invented Contrast Sets?
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Chapters (12)

Introduction
0:20 GTC 23 on March 20
1:55 ChatGPT API is out!
4:50 OpenAI becomes more business-friendly
7:15 OpenAI plans for AGI
10:00 ChatGPT influencers
12:15 Open-Source Prompting Course
12:35 Flan UL2 20B
13:30 LLaMA weights leaked
15:50 Mind-Reading from fMRI
20:10 Random News / Helpful Things
25:30 Interview with Bryan Catanzaro
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