Talesh Seeparsan’s Post

Uncover How AI Could Land You in Trouble with Talesh Seeparsan! 🛡️🤖 Join Talesh Seeparsan, CEO of Bit79 and a cybersecurity leadership consultant, as he explores the critical security issues facing teams building with Large Language Models (#LLMs) and #GenerativeAI. With over 12 years of experience and as a core member of the OWASP team working on #AI safety, Talesh brings invaluable insights on how to safeguard AI projects from potential risks. Stay Ahead of AI Security Challenges! - AI Security Expert: Talesh has dedicated his career to helping businesses securely adopt AI and LLMs, establishing best practices for safe, trustworthy AI. - Cutting-Edge Knowledge: As a key contributor to the newly published OWASP Top Ten for LLM Applications, Talesh is at the forefront of AI security. - Trusted by Industry Leaders: The OWASP Top Ten has been endorsed by Microsoft, IBM, and the UK AI Safety Institute, making it the go-to resource for AI security concerns. 👉 What to Expect: - Top Security Concerns: Get up to speed on the OWASP Top Ten for LLMs and Generative AI, addressing the most pressing security risks. - Real-World Examples: Learn how these security vulnerabilities have been exploited and what you can do to protect your systems. - Actionable Insights: Discover practical tools and frameworks to fortify your Generative AI applications and prevent AI-related security breaches. 🎟 See agendas and secure your spot at: vanaisummit.com Don’t miss this opportunity to learn from a leading authority in AI security and protect your AI initiatives from potential pitfalls at the AI Summit Vancouver! A huge thanks to the wonderful team behind this summit: Procheta Nag 🥽, Shubhra Sarker, Igor Korniienko, Vivian L., Kate Samonkraisorakit, RobabehSadat (Fahimeh) Taheri, Termaine Whittick, Nsikak Udoh, Haley K., Nur Martinez, Vinícius Souza, Patty Yu-Lan Liu, Anastasia Zaika, Nicholas Tsang, Spencer Nakamura, Pamela Mollinedo, Elaine C. #AIDangers #LLMSecurity #Cybersecurity #OWASP #TaleshSeeparsan #AITrust #AISafety #AISummitVancouver #Vancouver

Hi LinkedIn friends, I’m exploring new opportunities in software product management, focusing on senior roles in product or operations. With extensive experience across industries like enterprise software development, online retail, and hosting, I've had the pleasure of launching successful platforms, leading cross-functional teams, and building strong partnerships that deliver impactful results. As a chief product officer and co-founder, I led the development of a street food marketplace, and as head of professional services, I championed product solutions that drove revenue and expanded market presence for leading online merchants. Currently, I’m building an app with FlutterFlow and learning Flutter and Dart along the way. It’s been a fun challenge, and I’m enjoying the opportunity to grow my technical skills. I’m open to remote, hybrid, or on-site roles, and would appreciate any leads or connections to opportunities where I can contribute. Feel free to tag, share, or reach out to me directly. Thanks for your support! #OpenToWork #ProductManagement #SoftwareProduct #LearningToCode

🔍 Navigating the Complexities of Multilingual NLP: Are We Truly Ready? 🌐 Natural Language Processing (NLP) has made impressive strides, but when it comes to multilingual contexts, the challenges are far from solved. From dialectal variations to cultural nuances, building NLP models that genuinely understand and generate language across borders is a tough nut to crack. 🧠 One major hurdle is 𝐝𝐚𝐭𝐚 𝐬𝐜𝐚𝐫𝐜𝐢𝐭𝐲. While English boasts vast datasets, many languages lack the high-quality, annotated data needed for robust model training. This gap can lead to biased models that underperform in non-English contexts. Additionally, semantic variances across languages mean that even simple translations can misinterpret meaning, especially with idioms and regional slang. 📉 Then there’s the challenge of 𝐜𝐨𝐧𝐭𝐞𝐱𝐭𝐮𝐚𝐥 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠. Languages like Japanese, Korean, or Arabic have unique structures and context dependencies that NLP models often struggle to grasp. This can severely impact the performance of chatbots, virtual assistants, and other AI-driven applications in these languages. 🗣️ To truly unlock NLP’s potential, we need more inclusive data practices, better cross-lingual transfer learning techniques, and a deeper commitment to understanding linguistic diversity. The future of NLP isn’t just English, it’s every language. 🌎 👉 Let’s discuss: What challenges have you faced with multilingual NLP? How can we make these technologies more inclusive? Comment below! 👇 👍 Loved the content? Smash that like button! ♻️ Enjoyed it? Repost to share with your network! 🌟 Follow Gilbert Harijanto for more AI & Data Science insights! #NLP #MultilingualAI #NaturalLanguageProcessing #AI #MachineLearning #DataScience #ArtificialIntelligence #LanguageDiversity #TechInnovation #DataBias