Businesses with large proprietary data stores increasingly find a need to develop their own “private” large language models (LLMs). At the same time, threats against data privacy increase along with LLM and datasets sizes. Hence, Blattner Technologies is planning to address privacy preservation in LLMs via the use of applying federated machine learning (FML), differential privacy, and/or privacy detection algorithms.
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1.2\tDesired Outcomes
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Prototype capabilities demonstrating benefits and/or highlighting challenges in creating privacy-aware LLMs. This will focus on backend code but may also include UX capabilities.
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Presentation to broader company highlighting approach, challenges, solutions, and significant insights stemming from the effort.
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1.3\tCore Skills Required
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Required skills:
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Fundamental LLM knowledge (e.g., prompt engineering, fine-tuning, training)
Depending on progress, work my extend to part time during the Fall semester (e.g., 10 hours/week)
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1.5\tAdditional Information
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This is a remote internship opportunity, working with summer mentors and reporting to the Chief Product Officer of BOSS AI. The group has a deep focus on implementing LLMs “as a service” (LLMaaS) and team members have a range of skills from enterprise software engineering, NLP, ML, and UX. You can expect to gain valuable experience in operationalizing LLMs and addressing critical security needs for all language models.
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\n Should be {http://www.linkedin.com/pub/[member-name/]x/y/z}\n or {http://www.linkedin.com/in/string}\n
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\n\n\n","datePosted":"2023-11-17T04:56:40.164Z","validThrough":"2023-11-22","employmentType":[],"hiringOrganization":{"@type":"Organization","name":"superwise.ai","description":"Superwise.ai enables business and operational teams to take ownership of the health of their AI environments. Its AI Assurance platform includes AI performance management, bias detection, explainability and AI analytics capabilities.","numberOfEmployees":25,"address":[{"address":{"@type":"PostalAddress","addressLocality":"Tel Aviv-Yafo, Israel"}},{"address":{"@type":"PostalAddress","addressLocality":"Ezor Tel Aviv, Israel"}}],"sameAs":"https://superwise.ai","url":"https://superwise.ai","logo":"https://cdn.getro.com/companies/28c168ee-a510-5b0f-a4b8-8cdb741824e9","memberOf":{"@type":"Organization","name":"F2 Venture Capital","description":"F2 Capital is a seed stage VC fund backing Israeli frontier technology companies at the cross section of Big Data, AI and Connectivity.","logo":"https://cdn.filepicker.io/api/file/Gjtedx94SkqiqI9XCGmG","url":"careers.f2vc.com"},"keywords":"Data and Analytics, DeepTech, Information Technology, Software"},"jobLocationType":"TELECOMMUTE","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"applicantLocationRequirements":{"@type":"Country","name":"Earth"}}
Student Initiative - Privacy preservation for LLMs
Student Initiative - Privacy preservation for LLMs
Nashville, TN
Category: Interns
Type: Intern
Min. Experience: Intern
Businesses with large proprietary data stores increasingly find a need to develop their own “private” large language models (LLMs). At the same time, threats against data privacy increase along with LLM and datasets sizes. Hence, Blattner Technologies is planning to address privacy preservation in LLMs via the use of applying federated machine learning (FML), differential privacy, and/or privacy detection algorithms.
1.2Desired Outcomes
Prototype capabilities demonstrating benefits and/or highlighting challenges in creating privacy-aware LLMs. This will focus on backend code but may also include UX capabilities.
Presentation to broader company highlighting approach, challenges, solutions, and significant insights stemming from the effort.
1.3Core Skills Required
Required skills:
Fundamental LLM knowledge (e.g., prompt engineering, fine-tuning, training)
Depending on progress, work my extend to part time during the Fall semester (e.g., 10 hours/week)
1.5Additional Information
This is a remote internship opportunity, working with summer mentors and reporting to the Chief Product Officer of BOSS AI. The group has a deep focus on implementing LLMs “as a service” (LLMaaS) and team members have a range of skills from enterprise software engineering, NLP, ML, and UX. You can expect to gain valuable experience in operationalizing LLMs and addressing critical security needs for all language models.
Should be {http://www.linkedin.com/pub/[member-name/]x/y/z}
or {http://www.linkedin.com/in/string}