Gemini AI Ft. Dr. Mithun Patil Sir GDSC Faculty
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Gemini AI is an artificial intelligence platform developed by OpenAI that provides natural language understanding and generation capabilities. It offers features like natural language processing, text generation, language translation, sentiment analysis, content summarization, and question answering. Gemini AI can be applied in various industries like content creation, customer support, language translation, research, and personal assistants. Using Gemini AI provides benefits such as increased efficiency, improved accuracy, cost savings through automation, and enhanced user experiences with intelligent applications.
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Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentationsRecently uploaded (20)
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Gemini AI Ft. Dr. Mithun Patil Sir GDSC Faculty
- 1. Gemini AI Speaker - Prof M. B. Patil
- 6. What is Gemini AI? Gemini AI is an artificial intelligence platform developed by OpenAI, designed to provide advanced natural language understanding and generation capabilities.
- 7. Features of Gemini AI • Gemini AI offers several key features, including: • - Natural language processing (NLP) • - Text generation and completion • - Language translation • - Sentiment analysis • - Content summarization • - Question answering
- 8. Applications of Gemini AI •Gemini AI can be applied in various fields and industries, such as: •- Content creation and automation •- Customer support and chatbots •- Language translation services •- Research and data analysis •- Personal assistants and productivity tools
- 9. Benefits of Gemini AI • Using Gemini AI offers several advantages, including: • - Increased efficiency and productivity • - Improved accuracy in language processing tasks • - Cost savings through automation • - Enhanced user experience with intelligent applications • - Access to advanced language capabilities without extensive development
- 10. Future Prospects of Gemini AI Gemini AI is expected to continue evolving and finding new applications in various domains. As AI technology advances, Gemini AI will likely play a significant role in shaping the future of human-computer interaction and language understanding.
- 12. Tome AI Website : https://tome.app/
- 15. 3 Useful AI Tools For LinkedIn Websites : 1. Coude 2. Kickresume 3. Piktochart
- 18. Feedback Form