Rajat Sarkar
Rajat Sarkar
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RAG using GEMINI-1.5-FLASH-LATEST | CHROMADB | LANGCHAIN | END TO END | GOOGLE GENERATIVE AI
END TO END RAG using GEMINI-1.5-FLASH-LATEST, CHROMADB, Langchain, GOOGLE GENERATIVE AI MODELS, EMBEDDING - models/text-embedding-004
#llm #genai #rag #langchain #googlegemini #transformers #retriever #generativeai #embedding
#googlecolab #nlp
NOTEBOOK: github.com/rajat0628/GEMINI.git
RAG using Meta Llama 3.1 : th-cam.com/video/6iFefDIk9uo/w-d-xo.html
RAG QUESTION ANSWER MODEL: th-cam.com/video/2MfcYWD8tUE/w-d-xo.html
RAG SUMMARIZATION: th-cam.com/video/Ognu_pmlMd8/w-d-xo.html
มุมมอง: 257

วีดีโอ

GENERATIVE AI | BUILD VISUAL QUESTION AND MODEL USING HUGGING FACE | TRANSFORMERS8:55GENERATIVE AI | BUILD VISUAL QUESTION AND MODEL USING HUGGING FACE | TRANSFORMERS
GENERATIVE AI | BUILD VISUAL QUESTION AND MODEL USING HUGGING FACE | TRANSFORMERS
มุมมอง 512 หลายเดือนก่อน
Visual Question Answering (VQA) is an advanced AI technique combining computer vision and natural language processing to interpret and answer questions based on visual inputs such as images or videos. - Medical Imaging: Doctors can ask VQA models questions about diagnostic images, aiding in quicker assessments. - Education: Students can interact with images or historical visuals, asking questio...
Generate Text to Image in one min using hugging face LLM model.1:35Generate Text to Image in one min using hugging face LLM model.
Generate Text to Image in one min using hugging face LLM model.
มุมมอง 1042 หลายเดือนก่อน
Generate Image in one min using hugging face LLM model. #ai #llm #datascience #huggingface #googlecolab
RAG based META LLAMA 3.1 using RUNPOD JUPYTER NOTEBOOK17:54RAG based META LLAMA 3.1 using RUNPOD JUPYTER NOTEBOOK
RAG based META LLAMA 3.1 using RUNPOD JUPYTER NOTEBOOK
มุมมอง 1482 หลายเดือนก่อน
Execution of RAG Based Meta LLama 3.1 using Jupyter Notebook in RUNPOD. We'll explore how to efficiently set up and run a RAG based large language model (LLM) using the RunPod platform. RunPod provides flexible, powerful cloud compute instances specifically designed for AI and machine learning tasks, making it easier to work with LLMs that require GPU resources. #RunPod #ai #llm #rag #datascien...
RAG using Meta Llama 3.1 | FAISS | LANGCHAIN | HUGGINGFACE | END TO END37:57RAG using Meta Llama 3.1 | FAISS | LANGCHAIN | HUGGINGFACE | END TO END
RAG using Meta Llama 3.1 | FAISS | LANGCHAIN | HUGGINGFACE | END TO END
มุมมอง 1252 หลายเดือนก่อน
END TO END RAG using META LLAMA 3.1, FAISS, Langchain, HuggingFace models #llm #genai #textgeneration #RAG #langchain #huggingface #transformers #retriever NOTEBOOK: github.com/rajat9sarker/RAG_META_LLAMA3.git RAG QUESTION ANSWER MODEL: th-cam.com/video/2MfcYWD8tUE/w-d-xo.html RAG SUMMARIZATION: th-cam.com/video/Ognu_pmlMd8/w-d-xo.html
FREE SIGN UP IN DATABRICKS | PYSPARK | DATAENGINEERS3:27FREE SIGN UP IN DATABRICKS | PYSPARK | DATAENGINEERS
FREE SIGN UP IN DATABRICKS | PYSPARK | DATAENGINEERS
มุมมอง 63 หลายเดือนก่อน
FREE SIGN UP IN #databricks #pyspark #dataengineers
Pyspark3 or Pyspark2 Step up in Anaconda | Resolve Compatibility issue | Like Databricks environment11:35Pyspark3 or Pyspark2 Step up in Anaconda | Resolve Compatibility issue | Like Databricks environment
Pyspark3 or Pyspark2 Step up in Anaconda | Resolve Compatibility issue | Like Databricks environment
มุมมอง 593 หลายเดือนก่อน
#pyspark3 or #Pyspark2 installation in Anaconda in your local Machine. Start your journey in Pyspark. Get a feeling like databricks in you local. #DataEngineers #DataScience #datasciencebasics #dataengineering #dataengineeringessentials
RAG based Generative AI model to Summarize document,using Langchain and HuggingFace Open Source LLM21:31RAG based Generative AI model to Summarize document,using Langchain and HuggingFace Open Source LLM
RAG based Generative AI model to Summarize document,using Langchain and HuggingFace Open Source LLM
มุมมอง 753 หลายเดือนก่อน
Building Retrival Augmented Generation model for document or PDF summarization using open source langchain and huggingface, FAISS Database. The Model is Based on summarization technique. Build this model using Google colab.
Building RAG based Question and Answer Generative AI model using Langchain and HuggingFace | FAISS25:41Building RAG based Question and Answer Generative AI model using Langchain and HuggingFace | FAISS
Building RAG based Question and Answer Generative AI model using Langchain and HuggingFace | FAISS
มุมมอง 273 หลายเดือนก่อน
#generativeai #generativemodels #llm #huggingface #langchain #nlp #googlecolab Building Retrival Augmented Generation model uisng Generative AI uisng open source langchain and huggingface, FAISS Database. The Model is Based on Question and Answer. Build this model using Google colab.
Modes of reading data in PYSPARK | PERMISSIVE | FAILFAST | MALFORMED4:00Modes of reading data in PYSPARK | PERMISSIVE | FAILFAST | MALFORMED
Modes of reading data in PYSPARK | PERMISSIVE | FAILFAST | MALFORMED
มุมมอง 454 หลายเดือนก่อน
Modes of reading data in PYSPARK | PERMISSIVE | FAILFAST | MALFORMED Ways to read data without malformed in it. #pyspark #dataengineers
How to read data using schema enforcement and structtype21:09How to read data using schema enforcement and structtype
How to read data using schema enforcement and structtype
มุมมอง 214 หลายเดือนก่อน
Reading Data using Schema Enforcement and StructType. Various ways of reading data in pyspark. Reading Big data challenge in pyspark. Reading data efficiently in pyspark. #EnforcementSchema #StructType #pyspark #dataengineers
Using AWS #Lambda function pull audio files from S3 bucket using #transcribe to convert to text.12:25Using AWS #Lambda function pull audio files from S3 bucket using #transcribe to convert to text.
Using AWS #Lambda function pull audio files from S3 bucket using #transcribe to convert to text.
มุมมอง 1544 หลายเดือนก่อน
Using AWS #Lambda function pull audio files from #S3 bucket then using amazon #transcribe convert to text. All of this using Lambda Function assisted by #Boto client. #aws #iam #speechtotext
How to use pyspark in jupyter notebook6:02How to use pyspark in jupyter notebook
How to use pyspark in jupyter notebook
มุมมอง 3754 หลายเดือนก่อน
Begin Pyspark journey using open source free software. Work on Pyspark and get cluster related information using Python Jupyter Notebook Anaconda. Basic installtion step to start with pyspark. Pyspark runtime error : Java Gateway process exited before sending its port number. #pyspark #dataengineers

ความคิดเห็น

  • @GauravWankhede-x5q
    @GauravWankhede-x5q หลายเดือนก่อน

    How can we handle both Handwritten text, Diagrams, Tables from the pdf, is there any methodology?

    • @RajatSarkar-s9s
      @RajatSarkar-s9s หลายเดือนก่อน

      Hi Gaurav...That's interesting. Something like that i have not explored yet. In case if i do, i will definitely let you know.

    • @GauravWankhede-x5q
      @GauravWankhede-x5q หลายเดือนก่อน

      @RajatSarkar-s9s I am waiting for the video 📸

  • @RAHULKUMAR-px8em
    @RAHULKUMAR-px8em 3 หลายเดือนก่อน

    Same ERROR show after the follow the step by step ?

    • @RajatSarkar-s9s
      @RajatSarkar-s9s 3 หลายเดือนก่อน

      Hi Rahul.. If you have declared the environmental variable properly it should have worked. But i have also noticed after following the steps in some system you have to restart the system. After restarting once you run those commands in Jupyter, it will prompt for allow Access in one window. Please give access, it should work. I am hopeful you will get it.