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open source contribution and build with AI.pptx
- 7. DifferenCe Between Adding,Staging, Committing •Adding: Selecting changes and placing them in staging area with `git add`. •Staging: Changes are in staging area, ready for commit. •Committing: Saving staged changes as a snapshot using `git commit`
- 8. Real-Life Analogy forStaging Area • Staging Area Analogy: •Imagine packing for a trip: •Unstaged: Items are still in your room (unpacked). • Staged: Items selected and placed on a table (ready to be packed •Committed: Items packed into the suitcase (saved permanently).
- 20. The Impact ofOpen Source and Google Summer of Code
- 21. IntroduCtionto Open SourCe Open Sourcerefers to software that allows users toview,modify,and distributeits source code. This model fosters Collaboration and innovation ,enabling developers to build upon each other's work. Understanding its impact is cruciafol r grasping how it shapesthe tech landscapetoday.
- 22. What is GoogleSummer of Code? Google Summer of Code (GSoC) is an annual program that offers stipends to university students for workingon open sourceprojects during the summer. It aims to introducestudents to the world of open source developmentand helpthem gain real-world experience.
- 23. Benefits of OpenSourCe Open Source promotes transparency,collaboration, and community-driven development. It allows for rapid innovation and reduces costs associated with software development. By leveraging collective knowledge, projects can evolve more dynamically than traditional proprietary software.
- 24. GSoC's Role in OpenSourCe GSoC plays a vital role in sustaining open source projects by providing fresh talent and innovative ideas. It helps organizations find new contributors and encourages students to engage with the open source community , fostering long-term relationships.
- 25. Success Stories from GSoC Manysuccessful projectshave emergedfrom GSoC, including major contributions towell-known software like Mozilla and Linux. Thesesuccess stories highlighthe program's ability to nurture talenatnd drive significant advancements inopen source technology.
- 26. Challenges Faced inOpen Source Despite its benefits, open source faces challenges such as sustainability , maintaining quality , and attracting contributors. Projects often struggle with funding and resource allocation, which can hinder their growth and impact in the tech community.
- 27. The Future of OpenSourCe The future of open source looks promising, with increasing adoption across industries. As more organizations recognize its we can expect a from diverse potential for innovation and cost-efficiency, surge in collaborative projects and contributions communities.
- 28. Getting Involved in GSoC Students canparticipate in GSoC by selecting a project that aligns with their interests and skills. Engaging with the community before applying is crucial for understanding project needs and demonstrating commitment, which increases chances of selection.
- 29. ImpaCt on CareerDevelopment Participating in GSoC can significa ntly enhance a student's career prospects. It provides hands- on experien ce, network ing
- 30. Conclusion: Embracing Innovation Inconclusion,open source and programs like GSoC empowerinnovation by fostering collaborationand providing opportunities forgrowth. Embracing this model can lead to a more inclusive and dynamic technological landscape, benefiting everyone involved.
- 31. Thanks !Do you haveany questions?
- 32. Build With AI An Introductionto Generative AI and Gemini
- 33. What is Generative AI? • Definition: Generative AI is a type of artificial intelligence that can generate new content, such as text, images, audio, or code, based on existing data. Examples: • Text: Writing articles, stories, or poems • Images: Creating artwork, logos, or photorealistic images • Audio: Composing music or generating sound effects • Code: Writing software programs or debugging existing code
- 34. Key features: • Multimodal:Can process and generate content in multiple formats (text, images, audio) • Capable: Can perform a wide range of tasks, from answering questions to writing code • Advanced: Uses state-of-the-art techniques to achieve high levels of performance Google's Advanced AI Model
- 35. Application s: • Natural languageprocessing: Understanding and generating human language • Computer vision: Analyzing and understanding images and videos • Code generation: Writing and debugging software code
- 36. "If you're worriedAI will replace you, it’s not the AI you should fear, but your unwillingness to evolve. A true programmer is always ahead of the machine."