- 16842 Views
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Databricks Announces the Industry’s First Generative AI Engineer Learning Pathway and Certification
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 ...
- 16842 Views
- 13 replies
- 20 kudos
- 818 Views
- 0 replies
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Dbrx name in chat api call
Love dbrx. Full OpenAI compatibility would be great!!
- 818 Views
- 0 replies
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- 871 Views
- 2 replies
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Here at the Summit
Hit me up if you like to talk about ML, DE topics.
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- 2 replies
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- 1264 Views
- 0 replies
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Data Engineering
Hello I am a new user and it is a great place to meet data folks.
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- 1606 Views
- 1 replies
- 1 kudos
Gen AI Fundamentals Badge
I'm trying to take the quiz and get the badge for Gen AI Fundamentals, but unfortunately unable to do so as the login credentials aren't letting me in. Please advice where to find the link to take the quiz here.
- 1606 Views
- 1 replies
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Thank you @Retired_mod i have logged the ticket. Your request #00482921 has been received.
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- 6289 Views
- 2 replies
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Resolved! Dbdemo: LLM Chatbot With Retrieval Augmented Generation (RAG)
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...
- 6289 Views
- 2 replies
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Hi @Retired_mod 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 ve...
- 1 kudos
- 2707 Views
- 1 replies
- 1 kudos
can't run the agent-studio RAG DBRX chatbot example
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 ...
- 2707 Views
- 1 replies
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Hi @Retired_mod , thank you for the hints. I will give a closer look to the input schema and the Vector Search endpoint.
- 1 kudos
- 1311 Views
- 1 replies
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How we can choose the right LLM model, also considering the cost.
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...
- 1311 Views
- 1 replies
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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...
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- 1712 Views
- 0 replies
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Is enabling Unity catalog Mandatory to run the LLM Chatbot With RAG, DBRX demo?
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...
- 1712 Views
- 0 replies
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- 2942 Views
- 1 replies
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Trouble Using Foundation Models API with Instructor
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...
- 2942 Views
- 1 replies
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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...
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- 5373 Views
- 1 replies
- 5 kudos
How to successfully build GenAI applications
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...
- 5373 Views
- 1 replies
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Thanks for sharing!
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- 4667 Views
- 5 replies
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Databricks Foundation Model APIs not present in the interface
The Foundation Model are not displayed in the Serving Endpoint pageAm I missing something?Thanks
- 4667 Views
- 5 replies
- 1 kudos
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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 ...
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- 911 Views
- 0 replies
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Share Your Thoughts on DBRX: We Want to Hear from You!
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
- 911 Views
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- 13135 Views
- 2 replies
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Drive Value With Generative AI
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...
- 13135 Views
- 2 replies
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Hi @Sujitha, thank you for the great initiative. Will the recording of the event be available afterwards?
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- 27510 Views
- 2 replies
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SQL AI functions
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?
- 27510 Views
- 2 replies
- 4 kudos
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As far as I know, Databricks has introduced AI functions, which are built-in SQL functions that allow you to access and serve large language models (LLMs) directly from SQL. One of the LLMs that you can use with AI functions is Mixtral-8x7B Instruct,...
- 4 kudos
- 4013 Views
- 0 replies
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Seeking Advice: Extracting Text from Keynote and MP4 Files for RAG Implementation
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 ...
- 4013 Views
- 0 replies
- 1 kudos
