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Ravit Jain's Linkedin Analytics

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Founder & Host of "The Ravit Show". I love to interview Data/AI Leaders on The Ravit Show. Hosted 500+ Data Science/AI leaders on The Ravit Show. Ravit Jain is well known for -- - Hosting live events - Data Community Building - Community Evangelism - Product Marketer - Share free resources with Community - Helping Data Science/AI Community As the Founder & Host of The Ravit Show, my mission is to illuminate the intersection of media and technology by engaging with Data and AI leaders. With a focus on new business development and compelling communication, I've established a platform that resonates with industry professionals and enthusiasts alike. I leverage my expertise in B2B influence to foster thought leadership and community building. Our team is dedicated to sharing knowledge, driving conversations, and creating meaningful connections within the tech community, with a special emphasis on the burgeoning fields of Data and AI. You can reach out to me at Ravitjain0909@gmail.com for The Ravit Show queries :)

Check out Ravit Jain's verified LinkedIn stats (last 30 days)

Followers
155,508
Posts
1
Engagements
341
Likes
267

Ravit Jain's Best Posts (last 30 days)

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Most people want to use Generative AI. Fewer know how to build it. Even fewer know how to build it right. That’s where a roadmap like this becomes essential. I just went through this detailed Generative AI Roadmap, and it lays out a learning path from fundamentals all the way to deploying AI agents and real-world apps. If you're serious about building GenAI skills, here’s what’s included: - Start with core concepts: supervised vs. unsupervised learning, overfitting, basic Python, matrix ops, probability - Move into generative modeling: RNNs, autoencoders, latent space, backprop, VAEs - Deep dive into GANs & diffusion models: StyleGAN, CycleGAN, Stable Diffusion, U-Nets - Explore LLMs for text generation: transformers, attention, prompt engineering, few-shot learning - Go beyond text: music, audio, synthetic data, 3D generation - Learn fine-tuning techniques: LoRA, PEFT, instruction tuning - Then get hands-on with deployment: containerization, quantization, APIs, scaling - And finally, build AI agents with LangChain, CrewAI, and n8n—tying perception, reasoning, and action into workflows This roadmap is perfect for developers, ML engineers, and even product teams looking to understand what it really takes to go from an idea to a working GenAI app. -- Join our Newsletter with 137K Subscribers — www.theravitshow.com


267

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