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Introducing Multimodal Llama 3.2
Short Course

Introducing Multimodal Llama 3.2

Try out the features of the new Llama 3.2 models to build AI applications with multimodality.

AgentsChatbotsComputer VisionFine-TuningGenAI ApplicationsGenerative ModelsMultiModalPrompt Engineering
  • Meta
Meta
Prompt Engineering for Vision Models
Short Course

Prompt Engineering for Vision Models

Learn prompt engineering for vision models using Stable Diffusion, and advanced techniques like object detection and in-painting.

Computer VisionDiffusion ModelsFine-TuningGenerative ModelsPrompt Engineering
  • Comet
Comet
Efficiently Serving LLMs
Short Course

Efficiently Serving LLMs

Understand how LLMs predict the next token and how techniques like KV caching can speed up text generation. Write code to serve LLM applications efficiently to multiple users.

Fine-TuningGenerative ModelsLLMOpsLLM ServingTransformers
  • Predibase
Predibase
Reinforcement Learning From Human Feedback
Short Course

Reinforcement Learning From Human Feedback

Get an introduction to tuning and evaluating LLMs using Reinforcement Learning from Human Feedback (RLHF) and fine-tune the Llama 2 model.

Fine-TuningGenerative ModelsLLMOpsTransformers
  • Google Cloud
Google Cloud
Evaluating and Debugging Generative AI
Short Course

Evaluating and Debugging Generative AI

Learn MLOps tools for managing, versioning, debugging, and experimenting in your ML workflow.

Evaluation and MonitoringFine-TuningGenerative ModelsLLMOpsMLOpsMultiModalPrompt Engineering
  • Weights & Biases
Weights & Biases