Ada uses GPT-4 to deliver a new customer service standard
Devin is now faster, more accurate with code edits, more reliable at following your instructions, and better at independent decision making. We’ve also improved our support for enterprise security requirements and introduced new ways of working with Devin.
A research project led by Professor Sir Nigel Shadbolt, is to share in £32.4m funding from the first round of UKRI’s new cross research council responsive mode (CRCRM) pilot scheme
Arizona State University embraces ChatGPT campus-wide to personalize learning, advance research, and prepare students for the future
Upwork puts AI to work, uniting team members, operations and product development
Today marks the end of the department’s UNIQ+ Research Internships, where budding computer scientists have been getting a taste of postgraduate study for the past seven weeks
Indeed, whose mission is to help people get jobs, is the world’s #1 job site. Over 350 million unique visitors come to Indeed every month to connect with more than 3.5 million employers and over 32 million jobs. But what’s more is that every three seconds someone gets hired on Indeed.
AI can enrich lives through beauty and creativity, and its artistic potential shines in "Sleeping Beauties: Reawakening Fashion," a collaborative exhibit from The Met's Costume Institute.
We’re releasing a human-validated subset of SWE-bench that more reliably evaluates AI models’ ability to solve real-world software issues.
In this video, we share practical examples of how employees can use ChatGPT Enterprise to efficiently analyze data and uncover insights.
Rakuten Pairs Data with AI to Unlock Customer Insights and Value
Department of Computer Science research project team produces new animated video on the need for inclusive and responsible development of quantum computing
A new study by a research group led by Associate Professor Yarin Gal published in Nature warns of a major roadblock for machine learning models of the future, where errors build over time and ultimately lead to a phenomenon that the researchers term ‘model collapse’
State school students enjoyed a range of activities over three days to prepare them for applying to Computer Science at Oxford and other universities, as part of the annual UNIQ Summer School
We’re testing SearchGPT, a temporary prototype of new search features that give you fast and timely answers with clear and relevant sources.
We’ve developed and applied a new method leveraging Rule-Based Rewards (RBRs) that aligns models to behave safely without extensive human data collection.
A lot of businesses and critical systems were affected by the CrowdStrike outage yesterday, and we wanted to explore how Devin can help.
Oxford Semantic Technologies (OST), a company created by three Department of Computer Science professors has been bought by Samsung Electronics
Compliance API integrations, SCIM, and GPT controls to support compliance programs, data security, and user access at scale
The advances of large foundation models necessitate wide-coverage, low-cost, and zero-contamination benchmarks. Despite continuous exploration of language model evaluations, comprehensive studies on the evaluation of Large Multi-modal Models (LMMs) remain limited. In this work, we introduce LMMS-EVAL, a unified and standardized multimodal benchmark framework with over 50 tasks and more than 10 mod
Discover how prover-verifier games improve the legibility of language model outputs, making AI solutions clearer, easier to verify, and more trustworthy for both humans and machines.
The department is pleased to announce the appointment of Stefano Germano and Ulrik Lyngs as Research Community Coordinators, as they aim to enhance collaboration and inclusivity within our community of researchers
This research project uncovered critical flaws in Bluetooth systems, leading to changes to its core technology and urgent modifications by industry leaders such as Intel, Microsoft, Apple, Cisco, Google, and Huawei
Research led by three professors at the Department of Computer Science has had significant impact on the development and deployment of semantic technology across the world through state-of-the-art reasoning systems
Today’s aviation industry relies on the security of these systems, and this research project revealed a range of security and privacy challenges, resulting in major adjustments across the industry
A research team led by Professor Oege de Moor developed an innovative program analysis solution that allows for automated application to complex problems and code
OpenAI and Los Alamos National Laboratory are working to develop safety evaluations to assess and measure biological capabilities and risks associated with frontier models.
The department is pleased to announce the appointment of five Associate Professors with Tutorial Fellowships (APTFs), aligning with its strategic priority of increasing the capacity and enhancing the world-leading quality of its teaching.
Test set contamination, wherein test data from a benchmark ends up in a newer model's training set, is a well-documented obstacle for fair LLM evaluation and can quickly render benchmarks obsolete. To mitigate this, many recent benchmarks crowdsource new prompts and evaluations from human or LLM judges; however, these can introduce significant biases, and break down when scoring hard questions. In
CriticGPT, a model based on GPT-4, writes critiques of ChatGPT responses to help human trainers spot mistakes during RLHF
We’re partnering with TIME and its 101 years of archival content to enhance responses and provide links to stories on Time.com
Research Associate Ulrik Lyngs has won an MPLS Early-Career Social Impact Award for his ‘Reduce Digital Distraction’ (ReDD) Workshop
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