Programming Generative AI (training)

Colleagues, the “Programming Generative AI” training provides a hands-on tour of deep generative modeling, taking you from building simple feedforward neural networks in PyTorch all the way to working with large multimodal models capable of simultaneously understanding text and images. Along the way, you will learn how to train your own generative models from scratch to create an infinity of images, generate text with large language models similar to the ones that power applications like ChatGPT, write your own text-to-image pipeline to understand how prompt- based generative models actually work, and personalize large pretrained models like stable diffusion to generate images of novel subjects in unique visual styles. You will learn how to: Train a variational autoencoder with PyTorch to learn a compressed latent space of images. Generate and edit realistic human faces with unconditional diffusion models and SDEdit. Use large language models such as GPT2 to generate text with Hugging Face Transformers. Perform text-based semantic image search using multimodal models such as CLIP. Program your own text-to-image pipeline to understand how prompt-based generative models such as Stable Diffusion actually work. Properly evaluate generative models, both qualitatively and quantitatively. Automatically caption images using pre-trained foundation models Generate images in a specific visual style by efficiently fine-tuning Stable Diffusion with LoRA. Create personalized AI avatars by teaching pretrained diffusion models new subjects and concepts with Dreambooth. Guide the structure and composition of generated images using depth- and edge- conditioned ControlNets. And perform near real-time inference with SDXL Turbo for frame-based video-to-video translation. Skill-based training modules address: 1) The What, Why, and How of Generative AI, 2) PyTorch for the Impatient, 3) Latent Space Rules Everything Around Me, 4) Demystifying Diffusion, 5) Generating and Encoding Text with Transformers, 6) Connecting Text and Images, and 7) Post-Training Procedures for Diffusion Models.

Enroll today (teams & execs welcome): https://tinyurl.com/yck2k9mt 

Download your free AI-ML-DL - Career Transformation Guide.

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) or (Kindle) 

Much career success, Lawrence E. Wilson - AI Academy (share with your team)