At a Glance
- Tasks: Develop methods to enhance LLM reliability and mitigate hallucinations in AI-generated content.
- Company: Join AstraZeneca, a leader in innovative healthcare solutions.
- Benefits: Gain hands-on experience, build your network, and receive a competitive salary.
- Other info: 10-12 week summer internship with opportunities for career growth.
- Why this job: Make a real impact on AI technology that influences patient safety and medical decisions.
- Qualifications: Must be 18+, pursuing a degree, and have a passion for AI and data analysis.
The predicted salary is between 20000 - 30000 £ per year.
10–12-week development experience running through the summer months each year. Internships are meant to be a catalyst in helping students gain hands-on learning and exposure to the career they’re pursuing. Internships benefit students by supporting them to:
- Build their professional network.
- Gain relevant experience for post-graduation opportunities.
- Expose them to AstraZeneca as a possible future employer.
Intern Eligibility Requirements:
- Students must be 18 years or older at time of hire; and not require sponsorship to work in the UK.
- Students pursuing undergraduate, masters or doctoral degree.
A salary will be paid.
Large Language Models (LLMs) such as GPT have gained significant attention for their remarkable ability to generate human-like text, making them indispensable tools for various natural language applications. Multiple teams within AZ are already involved in utilizing these powerful LLMs for various applications including content/report generation, summarization, chat assistant, multi-modal biomarkers, information extraction from unstructured documents, etc. However, the presence of hallucinations in LLM generated content can pose significant risk to medical decision making, patient safety and data integrity. Hence it is critical to investigate and develop methods to improve the reliability of these powerful LLMs across AZ.
This work delves into the critical importance of mitigating hallucinations in LLMs and thereby improving the interpretability of LLM responses by estimating well-calibrated confidence scores for LLM predictions. The key objectives of this project are:
- Develop a method to utilize a combination of expert models to provide confidence bounds at an output-level and mitigate hallucination in LLMs primarily for information extraction from unstructured and semi-structured data sources.
- Develop confidence estimation techniques that provide a clear understanding of the reliability of AI-generated responses across AZ applications.
- Conduct extensive experiments, collect, and analyse data (internal dataset available), and publish the research findings to further increase the impact.
Mitigating Hallucinations and Enhancing Confidence Estimation in LLMs for reliable Information [...] in Cambridge employer: AstraZeneca Pharmaceuticals Inc
AstraZeneca is an exceptional employer that fosters a dynamic and inclusive work culture, providing interns with invaluable hands-on experience in cutting-edge research on Large Language Models. With a strong emphasis on professional development, interns are encouraged to build their networks and gain insights into potential career paths within the company, all while contributing to meaningful projects that enhance patient safety and data integrity. Located in the UK, AstraZeneca offers a supportive environment where innovation thrives, making it an ideal place for aspiring professionals to launch their careers.
Contact Details:
AstraZeneca Pharmaceuticals Inc Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Mitigating Hallucinations and Enhancing Confidence Estimation in LLMs for reliable Information [...] in Cambridge
✨Tip Number 1
Network like a pro! Reach out to professionals in the field, attend relevant events, and connect with people on LinkedIn. We can’t stress enough how important it is to build relationships that could lead to job opportunities.
✨Tip Number 2
Prepare for interviews by researching the company and the role. Understand AstraZeneca's work with LLMs and think about how your skills can contribute. We want you to shine when you get that chance to impress!
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms. We believe that the more comfortable you are speaking about your experiences and skills, the better you'll perform in real interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. We’re here to help you land that internship and kickstart your career in this exciting field!
We think you need these skills to ace Mitigating Hallucinations and Enhancing Confidence Estimation in LLMs for reliable Information [...] in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the internship role. Highlight any relevant experience or skills that align with mitigating hallucinations in LLMs and confidence estimation. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this project and how your background makes you a great fit. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Projects:If you've worked on any projects related to AI, LLMs, or data analysis, make sure to mention them. We’re keen to see your hands-on experience and how it relates to the work we do at StudySmarter.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at AstraZeneca Pharmaceuticals Inc
✨Know Your Stuff
Make sure you understand the basics of Large Language Models (LLMs) and their applications. Brush up on how hallucinations can affect decision-making in medical contexts, as this will show your genuine interest in the role and the company.
✨Showcase Your Skills
Prepare to discuss any relevant projects or coursework that relate to confidence estimation techniques or data analysis. Be ready to explain your thought process and how you approached problem-solving in those situations.
✨Ask Smart Questions
Come prepared with insightful questions about the internship and the team you'll be working with. This not only shows your enthusiasm but also helps you gauge if the role aligns with your career goals.
✨Practice Makes Perfect
Conduct mock interviews with friends or mentors to get comfortable with common interview questions. Focus on articulating your thoughts clearly, especially when discussing technical concepts related to LLMs and their reliability.
