wangtao
/
autogen
Not watched
1
0
Fork 0
Code
Releases 127 Wiki evaluate Activity
Issues 0 Pull Requests 0 Datasets Model Cloudbrain HPC
You can not select more than 25 topics Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.
1663 Commits
199 Branches
282 MB
20 Download
Tree: 2abdbfbbcf
Branches Tags
${ item.name }
Create branch ${ searchTerm }
from '2abdbfbbcf'
${ noResults }
autogen/website/docs/ecosystem/databricks.md

databricks.md 632 B
Raw Normal View History

DBRX (Databricks LLM) example notebook (#2434) * Resolving test failures locally * Resolving test failures locally * Updates to website resources and docs, author * Adding image * Fixes to precommit and doc files for lfd * Fixing ruff exclusion of new notebook * Updates to support notebook rendering * Updates to support notebook rendering * Removing some results to try to fix docs render issue * pre-commit to standardize formatting --------- Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
2 years ago
​
​
​
​
​
​
​
​
fix links and tags from databricks notebook (#2795)
2 years ago
 12345678910 
  1. # Databricks

  2. 

  3. ![Databricks Data Intelligence Platform](img/ecosystem-databricks.png)

  4. 

  5. The [Databricks Data Intelligence Platform ](https://www.databricks.com/product/data-intelligence-platform) allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data.

  6. 

  7. 

  8. This example demonstrates how to use AutoGen alongside Databricks Foundation Model APIs and open-source LLM DBRX.

  9. 

  10. - [Databricks + AutoGen Code Examples](/docs/notebooks/agentchat_databricks_dbrx)

This is a mirror of AutoGen from GitHub. AutoGen is a framework that enables the development of LLM applications using multiple agents that can converse with each other to solve tasks.