Efficient Reinforcement Learning: IRIS used reinforcement learning to master Atari games with little gameplay.
Transformer

Efficient Reinforcement Learning: IRIS used reinforcement learning to master Atari games with little gameplay.

Both transformers and reinforcement learning models are notoriously data-hungry. They may be less so when they work together. Vincent Micheli and colleagues at the University of Geneva trained a transformer-based system to simulate Atari games using a small amount of gameplay.

March 29, 20232 min read
Efficient Reinforcement Learning: IRIS used reinforcement learning to master Atari games with little gameplay.
Transformer

Efficient Reinforcement Learning: IRIS used reinforcement learning to master Atari games with little gameplay.

Both transformers and reinforcement learning models are notoriously data-hungry. They may be less so when they work together. Vincent Micheli and colleagues at the University of Geneva trained a transformer-based system to simulate Atari games using a small amount of gameplay.

March 29, 20232 min read
Vision and Language Tightly Bound: Training on a single loss function improves multimiodal AI.
Transformer

Vision and Language Tightly Bound: Training on a single loss function improves multimiodal AI.

Recent multimodal models process both text and images as sequences of tokens, but they learn to represent these distinct data types using separate loss functions. Recent work unifies the loss function as well.

March 15, 20232 min read
Vision and Language Tightly Bound: Training on a single loss function improves multimiodal AI.
Transformer

Vision and Language Tightly Bound: Training on a single loss function improves multimiodal AI.

Recent multimodal models process both text and images as sequences of tokens, but they learn to represent these distinct data types using separate loss functions. Recent work unifies the loss function as well.

March 15, 20232 min read
Runaway LLaMA: How Meta's LLaMA NLP model leaked
Transformer

Runaway LLaMA: How Meta's LLaMA NLP model leaked

Meta’s effort to make a large language model available to researchers ended with its escape into the wild. Soon after Meta started accepting applications for developer access to LLaMA, a family of trained large language models...

March 15, 20232 min read
Runaway LLaMA: How Meta's LLaMA NLP model leaked
Transformer

Runaway LLaMA: How Meta's LLaMA NLP model leaked

Meta’s effort to make a large language model available to researchers ended with its escape into the wild. Soon after Meta started accepting applications for developer access to LLaMA, a family of trained large language models...

March 15, 20232 min read
GPT-4 Has Landed: Everything you need to know about GPT-4.
Transformer

GPT-4 Has Landed: Everything you need to know about GPT-4.

Get ready for the next wave of language-model mania. OpenAI introduced the latest in its GPT series of large language models to widespread excitement. The company showed statistics and examples designed to demonstrate...

March 15, 20233 min read
GPT-4 Has Landed: Everything you need to know about GPT-4.
Transformer

GPT-4 Has Landed: Everything you need to know about GPT-4.

Get ready for the next wave of language-model mania. OpenAI introduced the latest in its GPT series of large language models to widespread excitement. The company showed statistics and examples designed to demonstrate...

March 15, 20233 min read
He Who Types the Prompt Calls the Tune: Google introduces an AI that generates music from text.
Transformer

He Who Types the Prompt Calls the Tune: Google introduces an AI that generates music from text.

As AI-generated text and images capture the world’s attention, music is catching up. Andrea Agostinelli, Timo I. Denk, and colleagues at Google and Sorbonne Université introduced MusicLM, a system that generates music from text descriptions.

February 8, 20233 min read
He Who Types the Prompt Calls the Tune: Google introduces an AI that generates music from text.
Transformer

He Who Types the Prompt Calls the Tune: Google introduces an AI that generates music from text.

As AI-generated text and images capture the world’s attention, music is catching up. Andrea Agostinelli, Timo I. Denk, and colleagues at Google and Sorbonne Université introduced MusicLM, a system that generates music from text descriptions.

February 8, 20233 min read
Language Models Defy Logic: Large NLP models struggle with logical reasoning.
Transformer

Language Models Defy Logic: Large NLP models struggle with logical reasoning.

Who would disagree that, if all people are mortal and Socrates is a person, Socrates must be mortal? GPT-3, for one. Recent work shows that bigger language models are not necessarily better when it comes to logical reasoning.

February 1, 20232 min read
Language Models Defy Logic: Large NLP models struggle with logical reasoning.
Transformer

Language Models Defy Logic: Large NLP models struggle with logical reasoning.

Who would disagree that, if all people are mortal and Socrates is a person, Socrates must be mortal? GPT-3, for one. Recent work shows that bigger language models are not necessarily better when it comes to logical reasoning.

February 1, 20232 min read
Google’s Rule-Respecting Chatbot: Research helps AI chatbots be more truthful and less hateful.
Transformer

Google’s Rule-Respecting Chatbot: Research helps AI chatbots be more truthful and less hateful.

Amid speculation about the threat posed by OpenAI’s ChatGPT chatbot to Google’s search business, a paper shows how the search giant might address the tendency of such models to produce offensive, incoherent, or untruthful dialog.

January 26, 20233 min read
Google’s Rule-Respecting Chatbot: Research helps AI chatbots be more truthful and less hateful.
Transformer

Google’s Rule-Respecting Chatbot: Research helps AI chatbots be more truthful and less hateful.

Amid speculation about the threat posed by OpenAI’s ChatGPT chatbot to Google’s search business, a paper shows how the search giant might address the tendency of such models to produce offensive, incoherent, or untruthful dialog.

January 26, 20233 min read
Segmented Images, No Labeled Data: Improved unsupervised learning for semantic segmentation
Transformer

Segmented Images, No Labeled Data: Improved unsupervised learning for semantic segmentation

Training a model to separate the objects in a picture typically requires labeled images for best results. Recent work upped the ante for training without labels.

January 11, 20232 min read

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