Category
Openai IA
Toute l’actualité IA d’Openai
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Forecasting potential misuses of language models for disinformation campaigns and how to reduce risk
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Delivering nuanced insights from customer feedback
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Fine-tuning GPT-3 to scale video creation
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Creating next-gen characters
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The power of continuous learning
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Point-E: A system for generating 3D point clouds from complex prompts
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New and improved embedding model
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Discovering the minutiae of backend systems
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Introducing ChatGPT
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DALL·E API now available in public beta
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Scaling laws for reward model overoptimization
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DALL·E now available without waitlist
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Introducing Whisper
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DALL·E: Introducing outpainting
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Our approach to alignment research
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New and improved content moderation tooling
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Efficient training of language models to fill in the middle
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A hazard analysis framework for code synthesis large language models
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DALL·E now available in beta
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Reducing bias and improving safety in DALL·E 2
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DALL·E 2: Extending creativity
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DALL·E 2 pre-training mitigations
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Learning to play Minecraft with Video PreTraining
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Evolution through large models
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AI-written critiques help humans notice flaws
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Techniques for training large neural networks
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Best practices for deploying language models
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Teaching models to express their uncertainty in words
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Powering next generation applications with OpenAI Codex
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DALL·E 2 research preview update
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OpenAI leadership team update
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Measuring Goodhart’s law
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Hierarchical text-conditional image generation with CLIP latents
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New GPT-3 capabilities: Edit & insert
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Economic impacts research at OpenAI
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Lessons learned on language model safety and misuse
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A research agenda for assessing the economic impacts of code generation models
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Solving (some) formal math olympiad problems
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Aligning language models to follow instructions
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Introducing text and code embeddings
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Text and code embeddings by contrastive pre-training
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WebGPT: Improving the factual accuracy of language models through web browsing
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Customizing GPT-3 for your application
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OpenAI Residency
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OpenAI’s API now available with no waitlist
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Solving math word problems
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Summarizing books with human feedback
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Helen Toner joins OpenAI’s board of directors
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TruthfulQA: Measuring how models mimic human falsehoods
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OpenAI Codex
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Introducing Triton: Open-source GPU programming for neural networks
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Evaluating large language models trained on code
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Improving language model behavior by training on a curated dataset
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OpenAI Scholars 2021: Final projects
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Will Hurd joins OpenAI’s board of directors
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GPT-3 powers the next generation of apps
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Multimodal neurons in artificial neural networks
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Understanding the capabilities, limitations, and societal impact of large language models
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Scaling Kubernetes to 7,500 nodes
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DALL·E: Creating images from text
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CLIP: Connecting text and images
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Organizational update from OpenAI
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OpenAI licenses GPT-3 technology to Microsoft
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Generative language modeling for automated theorem proving
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Learning to summarize with human feedback
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OpenAI Scholars 2020: Final projects
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Procgen and MineRL Competitions
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Image GPT
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OpenAI API
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Language models are few-shot learners
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AI and efficiency
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Jukebox
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Improving verifiability in AI development
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OpenAI Microscope
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OpenAI standardizes on PyTorch
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Scaling laws for neural language models
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Dota 2 with large scale deep reinforcement learning
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Deep double descent
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Procgen Benchmark
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Safety Gym
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Benchmarking safe exploration in deep reinforcement learning
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GPT-2: 1.5B release
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Solving Rubik’s Cube with a robot hand
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OpenAI Scholars 2020: Applications open
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Fine-tuning GPT-2 from human preferences
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Emergent tool use from multi-agent interaction
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Testing robustness against unforeseen adversaries
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GPT-2: 6-month follow-up
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Learning Day
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Microsoft invests in and partners with OpenAI to support us building beneficial AGI
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Why responsible AI development needs cooperation on safety
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OpenAI Robotics Symposium 2019
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OpenAI Scholars 2019: Final projects
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OpenAI Fellows Fall 2018: Final projects
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Transfer of adversarial robustness between perturbation types
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MuseNet
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Generative modeling with sparse transformers
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OpenAI Five defeats Dota 2 world champions
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OpenAI Five Finals
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Implicit generation and generalization methods for energy-based models