Google DeepMindChallenges in Detoxifying Language Models
Challenges in Detoxifying Language Models: This blogpost discusses the challenges in mitigating toxic language generation in language models and highlights the unintended consequences of detoxification.
Google DeepMindChallenges in Detoxifying Language Models
Exploring methods to mitigate toxicity in language models and evaluating their effectiveness and limitations using classifier-based automatic toxicity evaluation.
OpenAITruthfulQA: Measuring how models mimic human falsehoods
Exploring model accuracy in replicating human misconceptions through TruthfulQA
OpenAIHelen Toner joins OpenAI’s board of directors
Announcement of Helen Toner's inclusion in OpenAI's board of directors.
Ink and SwitchBackchannel: A relationship-based digital identity system
An alternative approach to digital identity that replaces user profiles with trusted digital relationships.
Jane StreetGoodbye Core_kernel
Restructuring standard libraries to eliminate difference between Core_kernel and Core at Jane Street with open source release anticipated by end of year
SoundCloudService Architecture at SoundCloud — Part 2: Value-Added Services
Examining the evolution of service architecture at SoundCloud with a focus on value-added services.
EleutherAIDownstream Evaluations of Rotary Position Embeddings
Comparing Rotary Position Embeddings with GPT-style learned position embeddings in downstream evaluations.
OpenAIOpenAI Codex
Exploring the capabilities of OpenAI Codex in automation and natural language processing
Jane StreetWhat the interns have wrought, 2021 edition
Internship season at Jane Street in 2021, including in-person interactions and insights into the company's operations.
Google DeepMindBuilding architectures that can handle the world’s data
Building a general-purpose architecture, Perceiver IO, that can handle diverse inputs and produce a wide variety of outputs, enabling the processing of various types of data.
Google DeepMindBuilding architectures that can handle the world’s data
Exploring a general and versatile architecture that can handle different types of data to solve complex problems in AI systems.