Using Foundation and External Models in Databricks and 7 Ways to Use them

Описание: Learn everything you need to know about creating and using AI models in Databricks! This comprehensive tutorial covers all types of AI model serving and integration methods.

What You'll Learn:
Foundation Models (Chat, Vision, Reasoning, Embeddings)
External Model Providers (OpenAI, Anthropic, Cohere, Amazon Bedrock)
Ready-to-use models like GPT OSS 120B, Meta Llama 4, Claude Sonnet 4
7 different ways to interact with models (UI, REST API, SQL, Python SDK & more)
Hands-on practical exercises

Perfect for:
Data scientists and ML engineers
Developers working with AI/ML pipelines
Anyone looking to leverage AI models

By the end of this video, you'll be able to deploy and interact with AI models in Databricks using multiple methods, from simple UI interactions to programmatic access via Python and SQL.

Time Stamps
0:00 Overview of AI Models in Databricks
3:20 Ways to Interact with AI Models in Databricks
5:40 Serving Endpoints in Databricks
5:59 Using Foundation Model in Databricks
7:10 Configuring OpenAI Model in Databricks
9:54 Interact with AI Models using SQL in Databricks
11:24 Interacting with Foundation AI Models Programmatically using Python API
16:49 Interacting with FoundationAI Models Programmatically using OpenAI SDK
20:03 Interacting with External AI Models Programmatically using OpenAI SDK

#Databricks #AIModels #MachineLearning #DataScience #Python #SQL #Tutorial #openai

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