Today, we are announcing the industry's first Generative AI Engineer learning pathway and certification to help ensure that data and AI practitioners have the resources to be successful with generative AI. At Databricks, we recognize that generative ...
Just completed the 2nd course, Generative AI Engineering with Databricks and it was excellent. There's so much content to explore it's worth going over twice.
Error code: 404 - {'error_code': 'FEATURE_DISABLED', 'message': 'FEATURE_DISABLED: Tool Calling is not enabled for this workspace'}Receiving this error when trying to complete chat using tools. How to enable tool calling feature?I am posting for the ...
Hi @mayank_gupta @rpunuru ,
I could not get more information on the exact cause, but here are a few more pointers to check
- Are you trying from an unsupported region for External models?https://learn.microsoft.com/en-us/azure/databricks/machine-lea...
Error code: 404 - {'error_code': 'FEATURE_DISABLED', 'message': 'FEATURE_DISABLED: Tool Calling is not enabled for this workspace'}Receiving this error when trying to complete chat using tools. How to enable tool calling feature?I am posting for the ...
Hi,
Just a passer-by comment. Not sure if the same question is asked here, linking the two for ease.
I could not get more information on the exact cause, but here are a few more pointers to check
- Are you trying from an unsupported region for Exter...
Hello All,I am trying to follow the dbdemo called 'llm-rag-chatbot' available at the following link. The setup works Ok, and I have imported from the Databricks Marketplace an embedding model that is:bge_large_en_v1_5Running the notebook called: 01-D...
Hi @Kaniz and @cmunteanu , I am having exactly the same problem to create the vector index and it seems that there could be a bug in the demo. What confuses me is that and even when using the Databricks UI, I can not manage to create the vector i...
Hi, I have apparently successfully the deployed the agent-studio RAG DBRX and chatbot example from:https://github.com/rmosleydb/agent-studioHowever, when entering a question in the chatbot box, I get an error message. The error says that it can't ...
Hi All, I understand we are in the evaluation journey where we have 100+ LLMs (Open or Proprietary models ), but please guide us on how we can choose the right LLM model, also considering the cost. Do we have any benchmark to follow considering the u...
Hey! It depends a lot on your application. Different LLMs excel in different functions. Proprietary models will be more expensive then Open Source ones, but they will likely lead you to a faster time to production with your applications.
Also, if yo...
Hi! I am new to databricks. I was trying to run the RAG demo notebooks in databricks (@ Link to the demo: Deploy Your LLM Chatbot With Retrieval Augmented Generation (RAG), Foundation Models and Vector Search | Databricks), in which the 00-init noteb...
Hi @Abhishek_blue, The error message you encountered, “[UC_NOT_ENABLED] Unity Catalog is not enabled on this cluster,” indicates that the Unity Catalog feature is not enabled for your Databricks cluster.
Let’s address your questions:
Is enabling ...
Hello,I'm attempting to use the instructor library for validating the output of a foundation model (DBRX in this case). Here's my code: import instructor
from instructor.client import Instructor
from pydantic import BaseModel
from openai import OpenA...
Reviewing my posted code I should mention that the 'tool_choice' argument I'm passing is a default argument of the OpenAI client object. The code still breaks in the same way if I remove that argument from the function call. I think this is out of my...
The Big Book of Generative AI brings together best practices and know-how for building production-quality GenAI applications. You’ll find technical content and code samples that will help you do everything from deploying your first application to bui...
Hello @pdiegop , seems that the option that we are looking for, which is: Foundation Model APIs (pay-per-token) is only available in certain regions. Check - out the Region availability table in this link. I am in the westeurope region, therefore, I ...
Hey there! We unveiled DBRX last Friday and we are eager to hear your thoughts! Did you catch the announcement? Drop a comment below and let us know what you think! Your feedback means the world to us. #DBRXFeedback
Hello, everyone!I'm currently working on building a Retrieval-Augmented Generation (RAG) system, where the goal is to extract text from various document types (including PDFs, Excel files, HTML pages, text documents, Docs, PPTs, and notably, Keynote ...
Hi @ML2022, Building a Retrieval-Augmented Generation (RAG) system sounds like an exciting project!
Let’s dive into your challenges with extracting text from Keynote files and MP4 video files:
Keynote Files:
Extracting textual content from Keyno...
Join us this March to see how generative AI can drive value. Build your own LLM trained on your data with Databricks’ new MPT model: Mosaic AI. Imagine if you could train and deploy your own LLM — customized with your own data that gives accurate res...
Recently, many AI SQL functions have been added to databricks. They are using the foundation model API and currently Mixtral-8x7B Instruct.Which one is your favourite one? Do you have ideas for another such function?
Hi @Hubert-Dudek, Thank you for sharing this exciting update about the new AI SQL functions added to Databricks, utilizing the foundation model API, particularly the Mixtral-8x7B Instruct model.
It's great to see how Databricks continues to innovate ...
I am currently experimenting with the whisper model for batchwise inference on Databricks and have successfully utilized multiple instances of the model by accessing multiple GPUs available in the driver node. However, I am wondering how I can levera...
Hi @Mathew , Leveraging multiple GPUs for batchwise inference with the Whisper model on Databricks can significantly enhance performance. While the Whisper model typically uses a single GPU, there’s a workaround to utilize multiple GPUs—one for the e...
Today, we are announcing the industry's first Generative AI Engineer learning pathway and certification to help ensure that data and AI practitioners have the resources to be successful with generative AI. At Databricks, we recognize that generative ...
Just completed the 2nd course, Generative AI Engineering with Databricks and it was excellent. There's so much content to explore it's worth going over twice.
