- Видео 10
- Просмотров 13 881
Learn with Girish
Индия
Добавлен 30 сен 2011
Learn all about Kubernetes, DevOps, GitOps, Cloud, MultiCloud, Service Mesh, Azure DevOps, GitHub, Automation, CI/CD, System Design, Scripting, Powershell, Azure, AWS, Google, Networking, Kafka, API Management, Infrastructure as code, Security, Terraform, Vault, Consul, Databricks, MLOps, Data Engineering, Certifications, fluxcd, argocd, Generative AI, Large language models, Langchain, Azure OpenAI , mlflow, LLMOps, Azure Machine learning and much more
First look at unity catalog in azure databricks | unified data and ai governance | access control
what is unity catalog and how to set up unity catalog in azure databricks
object model in azure databricks
metastore
catalog
schema
table view volume function model
databricks account in azure
account console in databricks
data lineage in databricks
roles in unity catalog
unified data and ai governance in databricks
azure databricks
databricks
unity catalog
creating tables and volumes in unity catalog
managed and external
storage credentials
external location
access connector databricks
azuredatabricks
data lineage
unified governance
object model in azure databricks
metastore
catalog
schema
table view volume function model
databricks account in azure
account console in databricks
data lineage in databricks
roles in unity catalog
unified data and ai governance in databricks
azure databricks
databricks
unity catalog
creating tables and volumes in unity catalog
managed and external
storage credentials
external location
access connector databricks
azuredatabricks
data lineage
unified governance
Просмотров: 121
Видео
Consume azure openai models and agents using LangChain | ReAct |Chain of thought| React prompting
Просмотров 564Год назад
Learn about consuming openai models using langchain and all about agents and the patterns like ReAct which the agents follow to avoid hallucination inturn ground the model with proper data Consume azure openai models and agents using langchain chain of thought ReAct (Reasoning Action) Agents langchain Azure open ai chatgpt 3.5 model grounding hallucination MRKL systems react-lm.github.io/ docs....
Vector Search in Azure Cognitive Search using Langchain | azure openai | embeddings | openai | llms
Просмотров 9 тыс.Год назад
Learn about vector search in Azure Cognitive Search using Langchain and Azure Open AI! In this tutorial, we'll learn about how to use Langchain and Azure Open AI to perform vector search in Azure Cognitive Search. Vector search in azure cognitive search Azure machine learning service Azure machine learning studio How to create embeddings using azure open ai Using text-embedding-ada-002 model to...
First look at Azure OpenAI Service | ChatGPT model | Dall-e | Train with custom data | OpenAI models
Просмотров 581Год назад
learn azure open ai models in a easy way Generative AI Azure openai models Azure openai service Chatgpt Azure cognitive search Train the models using custom data Dall-e Train models with enterprise data Text to image conversation low code ai tools low code ai platforms no code ai platforms Summarization Text generation Classify data Azure OpenAI doc : learn.microsoft.com/en-us/azure/ai-services...
Dive into LangChain and HuggingFace Essentials, Learn to consume llms, Train llm with custom data
Просмотров 1,4 тыс.Год назад
Learn how to consume large language models. Train large language models with custom data Train llms with custom data Hugging face models Langchain framework Create Prompt templates. Zero shot training Zero shot prompt One shot training One shot prompt Few shot prompt Few shot training. Add memory to the chatbots. Vector databases RAG -Retrieval Augmented Generation Train the model with custom d...
GitOps - Series 4 |multi-tenant apps using flux |fluxCD|create new tenants or environments | fluxv2.
Просмотров 432Год назад
how to do multitenancy using flux easily create new tenants or environments cluster isolation namespace isolation kustomize gitops azure aks kubernetes flux fluxv2 fluxCD continuous deployment fluxv2 demo deploying application and infrastructure using gitops deploying apps on azure using gitops Learnwithgirishgoudar GitOps - Series 1 - ruclips.net/video/fU9oPzbSqzk/видео.html GitOps - Series 2 ...
GitOps - Series 3 | flux image reflection and image automation controller | fluxCD | gitopstoolkit
Просмотров 652Год назад
how to do gitops using fluxv2 on azure different flux controller or agents image updater in flux image reflection image automation gitops azure aks kubernetes flux fluxv2 fluxCD continuous deployment fluxv2 demo deploying application and infrastructure using gitops deploying apps on azure using gitops Learnwithgirishgoudar GitOps - Series 1 - ruclips.net/video/fU9oPzbSqzk/видео.html GitOps - Se...
GitOps - Series 2 l what is flux l deploy apps and infrastructure to azure | azure | flux | fluxCD
Просмотров 504Год назад
how to do gitops using fluxv2 on azure what is flux gitops azure aks kubernetes flux fluxv2 fluxCD continuous deployment fluxv2 demo deploying application and infrastructure using gitops deploying apps on azure using gitops Learnwithgirish GitOps - Series 1 - ruclips.net/video/fU9oPzbSqzk/видео.html www.linkedin.com/in/girish-goudar-42a56426/ girishtweek ruclips.net/channel/UCGWmRQn...
Create aks cluster using AKS-Construction tool
Просмотров 71Год назад
AKS azure kubernetes service Azure Kubernetes DevOps CI/CD AKS-Construction tool : github.com/Azure/AKS-Construction learnwithgirish
GitOps - Series 1 l what is gitops l benefits of gitops | azure | aks | flux | fluxv2 | fluxCD
Просмотров 220Год назад
how to do gitops using fluxv2 on azure what is GitOps benefits of GitOps GitOps azure aks kubernetes flux fluxv2 learnwithgirish www.linkedin.com/in/girish-goudar-42a56426/ girishtweek ruclips.net/channel/UCGWmRQnsTmww0dQ57hFmjWg github.com/girishgouda/azure-voting-app-redis/blob/master/GitOps Series - 1.pptx?raw=true
how to do metadata filtering in vectorstore.as_retreiver?
Really on point 🚀, Thank you
I'm using workload identity for getting access to read acr for image reflector controller, but still I'm getting error on authentication. I have provided acrpull and acrpush roles to workload identity. Do I need to change something or what mistake I'm doing here?
'VectorizedQuery' from 'azure.search.documents.models'
Hi, i tried same but getting error now. vector_store: AzureSearch = AzureSearch( azure_search_endpoint=vector_store_address, azure_search_key=vector_store_password, index_name=index_name, embedding_function=embeddings.embed_query, ) when I am running this snippet getting below error. vector_search_configuration is not a known attribute of class <class 'azure.search.documents.indexes.models._index.SearchField'> and will be ignored ImportError: cannot import name 'HnswVectorSearchAlgorithmConfiguration' from 'azure.search.documents.indexes.models' can you please help me with the versions of azure-search-documents and langchain you are using?
Can you add a video with private git repo Ex. AzureDevOps Repositories.
try to do more vedios
Could you share the github link ?
Nice video! really learned a lot, is the notebook available online?
you can refer this article techcommunity.microsoft.com/t5/azure-ai-services-blog/azure-cognitive-search-and-langchain-a-seamless-integration-for/bc-p/3941381
Hey very interesting work with lots of uses! I have a question. The cognitive search compute the vector similarity between a "query" and a "source". In the image shown, "source" and "query" don't have to be the same modality; "query" can be text and "source" can be a video file. Does that mean that the produced embeddings from those two are directly comparable? or the query_emb and source_emb must be generated by the same model? In other terms my question is: can I search a query_emb (given from a textual model) over a source_emb (generated from a visual model)?
As i know the source and the query should use the same model. In this video i am using the open ai text-embedding-ada-002 model embeddings and in of the other video i am using Hugging face embeddings. Currently as i know multi modality is not present with the embeddings model and might have a in future. A single model to rule them all. Link to my other video ruclips.net/video/UXMXPoYYRHo/видео.html
I have one doubt dose Azure cognitive service provides vector database service too or not? Please help me
Yes it provides vector database support . The lanchain api which we are using in the scripts store the data in vextor format
@@learnwithgirishgoudar thank you for the answer and reply. If it supports vector db where the data will get into store , is it like blob storage or ADLS storage or any some other storage system. Could you let me know please.
Informative video
Thanks
wat perfect and simple example, thanks
You are welcome!
Nice tutorial! Could you make a part 2 for endpoint deployment so that one could make HTTP requests to send queries to the script?
Yes, soon
Promo*SM
He*RMT
I'm looking for information on how to access my Azure OpenAI chat history. Specifically, I'd like to know if it's possible to view the entire chat log of my Azure OpenAI chatbot through the Azure portal. If anyone can provide assistance, please share the relevant details. Note I am utilizing the default deployed chatbot provided by Microsoft in the Chat Playground, which involves interacting with Azure OpenAI models using my own data
i dont think this feature is available in azure portal. you can look at openai sdk if you can get the chat history. if you are using langchain memory object. you can get the chat history and store it for later use i think you can create a custom plugin where you store the results of the chat in a custom location
@@learnwithgirishgoudarThank you for your response... Please make video on finetune if you have please share the link..
Nice Video...
Thanks
Hi Girish, Could u plz share the demo flux multitenancy github link.?
let me check
@@learnwithgirishgoudar 😍
@@bsaikrishna7860 i am not finding the repo. you can follow the video and create a similar kind of structure. Thanks
@@learnwithgirishgoudar We can find once u put repo in public gitopsbootstrap🙂
could you please share the notebook link ?
here is the link colab.research.google.com/drive/1NxriFaCGNkToZB81RT1FI7psHKS4ohbc#scrollTo=cvQTsbx9EI6Z
Do u need anything about vector data bases? For the sack of youtube algorithm as i come from that search make a videos on that regard,
I am using faiss library for vector database
Do u need anything about vector data bases? For the sack of youtube algorithm as i come from that search make a videos on that regard,
i did not get your second question. can you elaborate or ask differently?
@@learnwithgirishgoudar adoring google algorithms
@@Mehrdadkh87 yes will do it as the channel grows and i get more insights
Good session
Thanks
Keep it up dude It awesome
Thanks
Easy and very clear video, thanks man!
Thanks you
good job
Thank you
good job
Thanks