Recap of February 2022: AlphaCode explores competitive programming
DeepMind introduced AlphaCode, investigating code generation in competitive programming tasks.
Read moreEmpowering Brands, Redefining Possibilities
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DeepMind introduced AlphaCode, investigating code generation in competitive programming tasks.
Read moreOpenAI described InstructGPT, emphasising human feedback and instruction following rather than scale alone.
Read moreDeepMind published research on Gopher and retrieval-enhanced language modelling, examining scale, capabilities and access to external information.
Read moreUNESCO adopted its Recommendation on the Ethics of Artificial Intelligence, setting out principles for responsible development and use.
Read moreMicrosoft and NVIDIA described Megatron-Turing NLG, highlighting the infrastructure behind very large language models.
Read moreStanford's foundation-model research helped frame how general-purpose models could be adapted to many downstream tasks. The underlying report appeared in August.
Read moreOpenAI introduced Codex, a model capable of translating natural-language instructions into code.
Read moreDeepMind and EMBL-EBI launched the AlphaFold Protein Structure Database, widening access to predicted structures.
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