open source contribution and build with AI.pptx

open source and build with AI

1. 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 `

2. Rea l - Life Analogy for Staging 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 ) .

3. The Impa c t of Open Sour c e an d Googl e Summe r o f Code

4. IntroduCtio n t o Ope n SourCe Open Source refers to software that allows users toview,modify,and distributeits sourc e code . Thi s mode l foster s Collaboration an d innovation , enablin g developer s to build upon each other's work. Understanding its impact is cruciafol r grasping how it shape s th e tec h landscap e today.

5. What is Google Summer of Code? Google Summer of Code (GSoC) is an annual program that offers stipends to university students for workingon open source projects during the summer. It aims to introducestudents to the world of open source development and helpthem gain real-world experience.

6. Benefits of Open SourCe 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 proprietar y software.

7. GSoC ' s Role in Open SourCe 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.

8. Su cc es s Storie s fro m GSoC Man y successfu l project s hav e emerge d fro m GSo C , including major contributions towell-known software like Mozilla and Linux . Thesesuccess stories highlighthe program's ability to nurture talenatnd drive significant advancement s i n ope n sourc e technolog y .

9. Challenge s Fa c e d i n Ope n Sour c e Despite its benefits, open source faces challenges such as sustainability , maintaining quality , and attracting contributors. Projects often struggle with fundin g an d resourc e allocation , whic h ca n hinde r their growth and impact in the tech community.

10. The Future of Open SourCe The future of open source looks promising, with increasing adoptio n acros s industries . A s mor e organization s recogniz e its we can expect a from diverse potential for innovation and cost-efficiency, surge in collaborative projects and contributions communities.

11. Getting Involved in GSoC Students can participate 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.

12. ImpaCt on Career Development Participatin g in GSoC can significa ntly enhance a student's career prospect s. It provides hands- on experien ce, network ing

13. Con c lusion: Embra c ing Innovation In conclusion, 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.

14. T h a n k s ! D o yo u hav e an y questions?

15. Build With AI An Introduction to Generative AI and Gemini

16. 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

17. 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 Googl e ' s Advanced AI Model

18. Applications: Natural language processing: Understanding and generating human language Computer vision: Analyzing and understanding images and videos Code generation: Writing and debugging software code

19. "If you're worried AI 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."