Large Language Models: Application through Production
- Offered byDatabricks
Large Language Models: Application through Production at Databricks Overview
Large Language Models: Application through Production
at Databricks
A comprehensive overview of Large Language Models: Application through Production
Duration | 3 months |
Total fee | ₹8,158 |
Mode of learning | Online |
Difficulty level | Intermediate |
Credential | Certificate |
Large Language Models: Application through Production at Databricks Highlights
Large Language Models: Application through Production
at Databricks
- Earn a certificate after the completion of the course
Large Language Models: Application through Production at Databricks Course details
Large Language Models: Application through Production
at Databricks
What are the course deliverables?
- How to apply LLMs to real-world problems in natural language processing (NLP) using popular libraries, such as Hugging Face and LangChain
- How to add domain knowledge and memory into LLM pipelines using embeddings and vector databases
- Understand the nuances of pre-training, fine-tuning, and prompt engineering, and apply that knowledge to fine-tune a custom chat model
- How to evaluate the efficacy and bias of LLMs using different methods
- How to implement LLMOps and multi-step reasoning best practices for an LLM workflow
More about this course
- This course is aimed at developers, data scientists, and engineers looking to build LLM-centric applications with the latest and most popular frameworks
- By the end of this course, you will have built an end-to-end LLM workflow that is ready for production
Large Language Models: Application through Production at Databricks Curriculum
Large Language Models: Application through Production
at Databricks
Module 1 - Applications with LLMs
Module 2 - Embeddings, Vector Databases and Search
Module 3 - Multi-stage Reasoning
Module 4 - Fine-tuning and Evaluating LLMs
Module 5 - Society and LLMs: Bias and Safety
Module 6 - LLMOps
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