DeepFaro
DeepFaro
  • Видео 78
  • Просмотров 24 108
Day-43 Final Day (Course recap)
Day-43 Final Day (Course recap)
Просмотров: 8

Видео

Day-37 Agentic RAG -Part-1 ( ML in Prod || Batch-1 )1:44:54Day-37 Agentic RAG -Part-1 ( ML in Prod || Batch-1 )
Day-37 Agentic RAG -Part-1 ( ML in Prod || Batch-1 )
Просмотров 24 часа назад
- RAG Project Best Practices - FastAPI Best Practices - Agentic RAG theory explained - Qdrant and Usage Explain
Day-33 Distributed training in ML Part-3 ( ML in Prod || Batch-1 )1:28:37Day-33 Distributed training in ML Part-3 ( ML in Prod || Batch-1 )
Day-33 Distributed training in ML Part-3 ( ML in Prod || Batch-1 )
Просмотров 2914 часа назад
- Spark Master vs Spark workers - Spark vs Pandas on Spark API - MLflow in Spark - Hyperopt on Spark Cluster Custom Apache Spark Cluster run databricks locally github.com/tharhtetsan/Custom-Apache-Spark-Cluster-run-databricks-locally
Day-40 LLM Security and Safeguards56:50Day-40 LLM Security and Safeguards
Day-40 LLM Security and Safeguards
Просмотров 44 часа назад
- Exploiting Text Completion in LLM models. - Using biased prompt in LLM - Direct Prompt Injection with Simple Method. - Direct Prompt Injection with System Prompt - Indirect Prompt Injection.
Day-34 DS Training And RAG Part-1 ( ML in Prod || Batch-1 )1:18:10Day-34 DS Training And RAG Part-1 ( ML in Prod || Batch-1 )
Day-34 DS Training And RAG Part-1 ( ML in Prod || Batch-1 )
Просмотров 54 часа назад
7. TF tensor input model flavors with MLflow Generic Model github.com/tharhtetsan/Custom-Apache-Spark-Cluster-run-databricks-locally/blob/main/jobs/mlflow_model_generic_flavor_2.ipynb 8. Distibuted Training With Hyperparameter tuning using Hyperopt and MLflow github.com/tharhtetsan/Custom-Apache-Spark-Cluster-run-databricks-locally/blob/main/jobs/distibuted_trainingAnd_params_tuning_with_mlflow...
Day-35 RAG Part-2 ( ML in Prod || Batch-1 )1:32:39Day-35 RAG Part-2 ( ML in Prod || Batch-1 )
Day-35 RAG Part-2 ( ML in Prod || Batch-1 )
Просмотров 54 часа назад
- RAG vs Agent - Vector Store - Information retrieval in RAG RAG-for-NPC-Game-Characters github.com/tharhtetsan/RAG-for-NPC-Game-Characters
Day-26 ML Systems Monitoring Part-3 ( ML in Prod || Batch-1 )1:35:11Day-26 ML Systems Monitoring Part-3 ( ML in Prod || Batch-1 )
Day-26 ML Systems Monitoring Part-3 ( ML in Prod || Batch-1 )
Просмотров 54 часа назад
- How to use Evidentlyai for real world case. - Introduction to Prefectio github.com/tharhtetsan/ML-in-Prod-batch-1/blob/main/9_ML_System_Monitoring/monitoring_with_evidentlyai/prefect_monitoring.py
Day-42 Federated Learning in Practice50:22Day-42 Federated Learning in Practice
Day-42 Federated Learning in Practice
Просмотров 44 часа назад
Day-42 Federated Learning in Practice
Day-32 Distributed training in ML Part-2 ( ML in Prod || Batch-1 )1:20:16Day-32 Distributed training in ML Part-2 ( ML in Prod || Batch-1 )
Day-32 Distributed training in ML Part-2 ( ML in Prod || Batch-1 )
Просмотров 74 часа назад
- Spark Master vs Spark workers - Spark vs Pandas on Spark API - MLflow in Spark - Hyperopt on Spark Cluster github.com/tharhtetsan/ML-in-Prod-batch-1/tree/main/12_Concurrency_In_AI_workloads/pyspark
Day-31 Distributed training in ML Part-1 ( ML in Prod || Batch-1 )1:17:11Day-31 Distributed training in ML Part-1 ( ML in Prod || Batch-1 )
Day-31 Distributed training in ML Part-1 ( ML in Prod || Batch-1 )
Просмотров 74 часа назад
- Spark Introduction. - Kubernetes vs managed Instance Group (MIG) - Databricks Community Edition. - Setup custom spark cluster.
Day-28 Data Orchestration Part-2 ( ML in Prod || Batch-1 )1:15:57Day-28 Data Orchestration Part-2 ( ML in Prod || Batch-1 )
Day-28 Data Orchestration Part-2 ( ML in Prod || Batch-1 )
Просмотров 44 часа назад
- Airflow DAGs - PythonOperator - Airflow Bitshift Task dependencies - Airflow decorators and Taskflow API - Metadatabase in Airflow and Xcom Airflow Fundamentals github.com/tharhtetsan/ML-in-Prod-batch-1/tree/main/10_Pipeline_Orchestration/2_airflow/airflow_fundamentals
Day-41 Knowledge Distillation and Fed learning Part-156:54Day-41 Knowledge Distillation and Fed learning Part-1
Day-41 Knowledge Distillation and Fed learning Part-1
Просмотров 44 часа назад
- Tensorflow with GradientTap Method. - Knowledge Distillation with Tensorflow. - Federated Learning Theory Explained.
Day-39 Custom Tool calling for Agent ( ML in Prod || Batch-1 )57:02Day-39 Custom Tool calling for Agent ( ML in Prod || Batch-1 )
Day-39 Custom Tool calling for Agent ( ML in Prod || Batch-1 )
Просмотров 34 часа назад
Custom Tool calling for Agent Agents for Chatbots LLM tools and products CodeGPT
Day-38 Agentic RAG Part-2 ( ML in Prod || Batch-1 )1:23:14Day-38 Agentic RAG Part-2 ( ML in Prod || Batch-1 )
Day-38 Agentic RAG Part-2 ( ML in Prod || Batch-1 )
Просмотров 14 часа назад
- RAG Project Best Practices - FastAPI Best Practices - Agentic RAG theory explained - Qdrant and Usage Explain
Day-36 RAG Part-3 ( ML in Prod || Batch-1 )1:34:01Day-36 RAG Part-3 ( ML in Prod || Batch-1 )
Day-36 RAG Part-3 ( ML in Prod || Batch-1 )
Просмотров 5921 час назад
- Finish NPC game character (RAG) - Groq - Web Scraping Logic - Tavily Websearch - Qdrant Vector Database RAG-for-NPC-Game-Characters github.com/tharhtetsan/RAG-for-NPC-Game-Characters
Day-30 Data Orchestration Part-4 ( ML in Prod || Batch-1 )1:19:16Day-30 Data Orchestration Part-4 ( ML in Prod || Batch-1 )
Day-30 Data Orchestration Part-4 ( ML in Prod || Batch-1 )
Просмотров 10121 день назад
Day-30 Data Orchestration Part-4 ( ML in Prod || Batch-1 )
Day-29 Data Orchestration Part-3 ( ML in Prod || Batch-1 )1:25:11Day-29 Data Orchestration Part-3 ( ML in Prod || Batch-1 )
Day-29 Data Orchestration Part-3 ( ML in Prod || Batch-1 )
Просмотров 1621 день назад
Day-29 Data Orchestration Part-3 ( ML in Prod || Batch-1 )
Day-25 ML Systems Monitoring Part-2 ( ML in Prod || Batch-1 )1:20:55Day-25 ML Systems Monitoring Part-2 ( ML in Prod || Batch-1 )
Day-25 ML Systems Monitoring Part-2 ( ML in Prod || Batch-1 )
Просмотров 2521 день назад
Day-25 ML Systems Monitoring Part-2 ( ML in Prod || Batch-1 )
Day-27 Data Orchestration Part-1 ( ML in Prod || Batch-1 )1:42:53Day-27 Data Orchestration Part-1 ( ML in Prod || Batch-1 )
Day-27 Data Orchestration Part-1 ( ML in Prod || Batch-1 )
Просмотров 1321 день назад
Day-27 Data Orchestration Part-1 ( ML in Prod || Batch-1 )
Day-24 Experiment Tracking with MLflow and Monitoring ( ML in Prod || Batch-1 )1:32:19Day-24 Experiment Tracking with MLflow and Monitoring ( ML in Prod || Batch-1 )
Day-24 Experiment Tracking with MLflow and Monitoring ( ML in Prod || Batch-1 )
Просмотров 921 день назад
Day-24 Experiment Tracking with MLflow and Monitoring ( ML in Prod || Batch-1 )
Day-23 Secure MLflow Server for Org Part-1 ( ML in Prod || Batch-1 )1:29:58Day-23 Secure MLflow Server for Org Part-1 ( ML in Prod || Batch-1 )
Day-23 Secure MLflow Server for Org Part-1 ( ML in Prod || Batch-1 )
Просмотров 821 день назад
Day-23 Secure MLflow Server for Org Part-1 ( ML in Prod || Batch-1 )
Day-22 Experiment Tracking with MLflow Part-2 ( ML in Prod || Batch-1 )1:27:08Day-22 Experiment Tracking with MLflow Part-2 ( ML in Prod || Batch-1 )
Day-22 Experiment Tracking with MLflow Part-2 ( ML in Prod || Batch-1 )
Просмотров 1321 день назад
Day-22 Experiment Tracking with MLflow Part-2 ( ML in Prod || Batch-1 )
Day-21 Experiment Tracking with MLflow Part-1 ( ML in Prod || Batch-1 )1:14:14Day-21 Experiment Tracking with MLflow Part-1 ( ML in Prod || Batch-1 )
Day-21 Experiment Tracking with MLflow Part-1 ( ML in Prod || Batch-1 )
Просмотров 2421 день назад
Day-21 Experiment Tracking with MLflow Part-1 ( ML in Prod || Batch-1 )
Day-20 IMG Templates and Container images handling ( ML in Prod || Batch-1 )1:26:57Day-20 IMG Templates and Container images handling ( ML in Prod || Batch-1 )
Day-20 IMG Templates and Container images handling ( ML in Prod || Batch-1 )
Просмотров 1421 день назад
Day-20 IMG Templates and Container images handling ( ML in Prod || Batch-1 )
Day-19 Manage Instance Group and GCE CI/CD ( ML in Prod || Batch-1 )1:39:39Day-19 Manage Instance Group and GCE CI/CD ( ML in Prod || Batch-1 )
Day-19 Manage Instance Group and GCE CI/CD ( ML in Prod || Batch-1 )
Просмотров 1121 день назад
Day-19 Manage Instance Group and GCE CI/CD ( ML in Prod || Batch-1 )
Day-18 Deploy Text to Audio Model and Start with GCE ( ML in Prod || Batch-1 )1:39:59Day-18 Deploy Text to Audio Model and Start with GCE ( ML in Prod || Batch-1 )
Day-18 Deploy Text to Audio Model and Start with GCE ( ML in Prod || Batch-1 )
Просмотров 721 день назад
Day-18 Deploy Text to Audio Model and Start with GCE ( ML in Prod || Batch-1 )
Day-17 Cloud Build Speed Up and libs handling ( ML in Prod || Batch-1 )40:48Day-17 Cloud Build Speed Up and libs handling ( ML in Prod || Batch-1 )
Day-17 Cloud Build Speed Up and libs handling ( ML in Prod || Batch-1 )
Просмотров 821 день назад
Day-17 Cloud Build Speed Up and libs handling ( ML in Prod || Batch-1 )
Day-16 ML deployment using Custom CI/CD pipeline setup (ML in Prod || Batch-1 )1:41:39Day-16 ML deployment using Custom CI/CD pipeline setup (ML in Prod || Batch-1 )
Day-16 ML deployment using Custom CI/CD pipeline setup (ML in Prod || Batch-1 )
Просмотров 821 день назад
Day-16 ML deployment using Custom CI/CD pipeline setup (ML in Prod || Batch-1 )
Day-15 Deploy ML project on CloudRun ( ML in Prod || Batch-1 )1:48:32Day-15 Deploy ML project on CloudRun ( ML in Prod || Batch-1 )
Day-15 Deploy ML project on CloudRun ( ML in Prod || Batch-1 )
Просмотров 821 день назад
Day-15 Deploy ML project on CloudRun ( ML in Prod || Batch-1 )
Day-14 Data Version Control (ML in Prod || Batch-1) (Full version)1:24:20Day-14 Data Version Control (ML in Prod || Batch-1) (Full version)
Day-14 Data Version Control (ML in Prod || Batch-1) (Full version)
Просмотров 2121 день назад
Day-14 Data Version Control (ML in Prod || Batch-1) (Full version)

Комментарии

  • @sanwinmaung5462
    @sanwinmaung5462 Час назад

  • @myatsumonthae
    @myatsumonthae 18 дней назад

    Categoryကိုimportလုပ်တာerrorတက်‌နေလို့ပါဆရာ

    • @deepfaro
      @deepfaro 18 дней назад

      ဘယ်နားတတ်တာလဲခင်ဗျ

    • @myatsumonthae
      @myatsumonthae 18 дней назад

      @deepfaro model.pyမှာ class Categoryဆောက်ပြီးတော့object.ipynbမှာfrom model import Categoryလုပ်တာမရလို့ပါဆရာ runလိုက်ရင်errorပေါ်လာလို့ပါ🥹

  • @hsu1311
    @hsu1311 25 дней назад

    LOL 😂

  • @sirialibertad
    @sirialibertad 26 дней назад

    Bro this should become a international meme😂😂😂😂 u got me rolling in the floor 😂

  • @hsu1311
    @hsu1311 Месяц назад

    Bloody true 😂

  • @tatehustling695
    @tatehustling695 Месяц назад

    😂 you need to be polite

  • @MinHtawLon-Wiliams
    @MinHtawLon-Wiliams Месяц назад

    Thank you so much brother very helpful series for me, trying to switch carrier path to Data Engineer

  • @hsu1311
    @hsu1311 Месяц назад

    Thanks for sharing

  • @LemonGaming43021
    @LemonGaming43021 2 месяца назад

    I am going to learn so pls upload full course, pls. Thanks

    • @deepfaro
      @deepfaro 26 дней назад

      I uploaded full course. pls check it out.

  • @kaungkhantkyaw8416
    @kaungkhantkyaw8416 2 месяца назад

    Thank you so much brother!

  • @minminzaw5528
    @minminzaw5528 2 месяца назад

    AMDကိုအရမ်းကြိုက်တယ်စျေးလဲမဆိုးဘူး

  • @nyanswanaung1550
    @nyanswanaung1550 3 месяца назад

    me

  • @5Thyovlogs
    @5Thyovlogs 3 месяца назад

    thank you sir

  • @hsu1311
    @hsu1311 3 месяца назад

    Apple 🤩

  • @hsu1311
    @hsu1311 3 месяца назад

    အားပေးနေပါတယ်

  • @5Thyovlogs
    @5Thyovlogs 3 месяца назад

    ကျေးဇူးပါ ဆရာ 🎉

  • @hsu1311
    @hsu1311 3 месяца назад

    Thank you so much for your sharing!!!!

  • @saithae6671
    @saithae6671 3 месяца назад

    Thank you for sharing.

  • @albrechtvangrasdorff5786
    @albrechtvangrasdorff5786 4 месяца назад

    Truee