LLM Application Security and Performance
0While everyone talks about building LLM-based applications, not many discuss the security risks involved.\n\nLike IT security, LLM application security is also important and developers/organizations must be aware of the vulnerabilities\n\nWe will talk about prompt injection, jailbreaking, and various other techniques through which hackers or other users can easily bypass your applications' safety measures and hamper your applications' performance\n\nWe will also discuss what measures should be taken to secure AI applications\n\nWhat will you learn?\nHow LLM applications are vulnerable and how to secure them.\n\nRead more: https://aka.ms/MSCopilotforSecurity\n\nSpeaker Bio: Nikhilesh Tayal \nNikhilesh is a seasoned entrepreneur, educator, and proud alumnus of IIT Kharagpur. He currently runs "AI ML etc.," a specialized AI educational platform designed for senior IT professionals to advance their knowledge in artificial intelligence. In addition to his entrepreneurial ventures, Nikhilesh serves as a guest faculty member in Generative AI at prestigious institutions like IITs, IIMs, and NITs.\n\nWith a wealth of experience, he has successfully trained over 1,600 professionals from leading organizations such as Microsoft, Nvidia, Infosys, Maersk, Sapient, Oracle, TCS, Genpact, and Paytm. His significant contributions to the education sector have been recognized at the highest level, with the Chief Minister of Rajasthan felicitating him for his outstanding efforts.\n\nSocial Handle of the speaker: \nLinkedIn: https://www.linkedin.com/in/nikhileshtayal/
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