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Openai launches a Paperbench benchmark to assess the ability to replicate AI’s research.

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Openai introduced Paperbench, a benchmark designed to assess the ability of AI agents to replicate state -of -the -art AI studies as part of the preparation framework of the AI ​​agent.

Openai launches a Paperbench benchmark to assess the ability to replicate AI's research.

The AI ​​Research Organization OpenAI introduced the Benchmark, a benchmark designed to assess the ability of AI agents to replicate state -of -the -art AI research as part of the preparatory framework of AI agent.

The benchmark must start from the beginning, including the agent’s understanding of the paper, the cord base construction, and the execution of experiments, and then replicated 20 papers in the ICML 2024 spotlight and oral session. Openai is developing a Loubrick that classifies each replication into a small sub -task with clear scoring standards to provide objective evaluation. The Paperbench includes a total of 8,316 individual scoring tasks, and the Loubrick is in -joint with the author of each ICML paper to ensure accuracy.

To enable scalable evaluations, OpenAI is creating a large language model (LLM) -based judge that automatically rates automatically attempts to replicate and evaluates the performance of a judge through a separate benchmark. The company tested multiple frontier models using Paperbench, and Claude 3.5 Sonnet (NEW), the highest performance agent with open source scaffolding, achieved an average replica score of 21.0%. Openai also recruited a leading doctorate in machine learning to attempt a sub -set of Paperbench, and found that the current model is still not better than human baseline. Openai also created a Code Open-Source to support additional research on the engineering function of the AI ​​agent.

The mission of Openai is to help artificial information (AGI) help all mankind. The organization has developed a variety of AI models, including the Dall-E series for creating an image in the GPT series and text for natural language processing. This month, Openai secured $ 40 billion in funds, which increased $ 300 billion.

Recently, Openai introduced the first tool set designed to support developers and companies to create reliable and effective agents. These tools are intended to simplify the development process of agent -based applications by providing Application Programming Interfaces (APIs) that integrate essential functions.

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Alisa, a dedicated reporter for MPOST, specializes in the vast areas of Cryptocurrency, Zero-ehnowedge Proofs, Investments and Web3. She provides a comprehensive coverage that captures a new trend and a keen eye on technology, providing and involving readers in a digital financial environment that constantly evolves.

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Alisa Davidson

Alisa, a dedicated reporter for MPOST, specializes in the vast areas of Cryptocurrency, Zero-ehnowedge Proofs, Investments and Web3. She provides a comprehensive coverage that captures a new trend and a keen eye on technology, providing and involving readers in a digital financial environment that constantly evolves.

More