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BTECH Spark
End-to-End GenAI Model Hosting on EC2 | Deploying Hugging Face Mistral-7B-Instruct v0.3
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Unsupervised Learning with KMeans: Data Clustering & Visualization in Python
BTECH Spark
Unsupervised Learning with KMeans: Data Clustering & Visualization in Python
21:36
How to launch a Streamlit app from Google Colab using LocalTunnel
BTECH Spark
How to launch a Streamlit app from Google Colab using LocalTunnel
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Mastering LLM Deployment: Techniques, Metrics, and Performance Optimization
BTECH Spark
Mastering LLM Deployment: Techniques, Metrics, and Performance Optimization
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RASCEF Prompting Technique: Boost AI Performance Like a Pro
BTECH Spark
RASCEF Prompting Technique: Boost AI Performance Like a Pro
5:49
Self Local Model Hosting Supporting Platforms like ollama,LMStudio,GPT4ALL,LocalAI
BTECH Spark
Self Local Model Hosting Supporting Platforms like ollama,LMStudio,GPT4ALL,LocalAI
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Hosting AI Models Locally with Ollama on Windows: A Step-by-Step Guide | Mastering Local AI Hosting
BTECH Spark
Hosting AI Models Locally with Ollama on Windows: A Step-by-Step Guide | Mastering Local AI Hosting
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Numpy for Data Analysis in Less Than 1 Hour | Fastest Numpy Crash Course – Complete Hands-On Guide
BTECH Spark
Numpy for Data Analysis in Less Than 1 Hour | Fastest Numpy Crash Course – Complete Hands-On Guide
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Bolt AI for Developers: Vibecoding, Web App Creation, Pricing & Feature Limits
BTECH Spark
Bolt AI for Developers: Vibecoding, Web App Creation, Pricing & Feature Limits
11:07
Vibe Coding with Cursor IDE: AI-Powered Development & Debugging Demo"
BTECH Spark
Vibe Coding with Cursor IDE: AI-Powered Development & Debugging Demo"
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Vibe Coding Trending Tools From Beginner to Expert level Developers
BTECH Spark
Vibe Coding Trending Tools From Beginner to Expert level Developers
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Cursor IDE: AI-Powered Coding, Pricing, Settings & Models Explained
BTECH Spark
Cursor IDE: AI-Powered Coding, Pricing, Settings & Models Explained
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Vibe Coding The Future of AI Assisted Programming
BTECH Spark
Vibe Coding The Future of AI Assisted Programming
7:28
Amazon Q for Developers: AI-Powered Code Assistance, Migration & Troubleshooting
BTECH Spark
Amazon Q for Developers: AI-Powered Code Assistance, Migration & Troubleshooting
11:31
Amazon Q Business, Developer & App: Full Overview & Hands-On|How to Use Amazon Q for GenAI Assistant
BTECH Spark
Amazon Q Business, Developer & App: Full Overview & Hands-On|How to Use Amazon Q for GenAI Assistant
20:09
CloudFront for Caching & Secure Access: Configuring S3 & CloudFront
BTECH Spark
CloudFront for Caching & Secure Access: Configuring S3 & CloudFront
24:15
Handling Imbalanced Datasets for ML: SMOTE Oversampling in Python
BTECH Spark
Handling Imbalanced Datasets for ML: SMOTE Oversampling in Python
16:08
Using Guardrails for Responsible AI in Amazon Bedrock FM with Hands-on Demo
BTECH Spark
Using Guardrails for Responsible AI in Amazon Bedrock FM with Hands-on Demo
30:25
Stock Market Analysis Using PhiData Autonomous Multi-Agent System in Google Colab
BTECH Spark
Stock Market Analysis Using PhiData Autonomous Multi-Agent System in Google Colab
26:12
Web Search Automation with Phidata& Gemini model in Google Colab | Agent with free websearch tool
BTECH Spark
Web Search Automation with Phidata& Gemini model in Google Colab | Agent with free websearch tool
18:50
AWS Managed AI services | AWS AI Services Overview | End-to-End AI & ML Solutions on AWS
BTECH Spark
AWS Managed AI services | AWS AI Services Overview | End-to-End AI & ML Solutions on AWS
18:41
Web Search Automation with LangChain & Hugging Face in Google Colab | Agent with free websearch tool
BTECH Spark
Web Search Automation with LangChain & Hugging Face in Google Colab | Agent with free websearch tool
25:14
Web Search Automation with LangChain &Gemini models in Google Colab | Agent with free websearch tool
BTECH Spark
Web Search Automation with LangChain &Gemini models in Google Colab | Agent with free websearch tool
27:23
Free Web Search Using Python | Python Code to Free Web Search in DuckDuckGo Browser for Free
BTECH Spark
Free Web Search Using Python | Python Code to Free Web Search in DuckDuckGo Browser for Free
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RAG in AI: Understanding Retrieval, Vector Stores & Augmented Generation
BTECH Spark
RAG in AI: Understanding Retrieval, Vector Stores & Augmented Generation
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Mastering Amazon Bedrock: Overview, Fine-Tuning, Guardrails, Logs & Marketplace Models
BTECH Spark
Mastering Amazon Bedrock: Overview, Fine-Tuning, Guardrails, Logs & Marketplace Models
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Document-Based Q&A Using RAG System: Pinecone, Sentence Transformer & Mistral-7B-Instruct-v0.3
BTECH Spark
Document-Based Q&A Using RAG System: Pinecone, Sentence Transformer & Mistral-7B-Instruct-v0.3
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AWS Service Catalog: Creating Portfolios & Launching SageMaker Products Hands-On
BTECH Spark
AWS Service Catalog: Creating Portfolios & Launching SageMaker Products Hands-On
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Machine Learning, GenAI & MLOps Lifecycles Explained: End-to-End Workflow
BTECH Spark
Machine Learning, GenAI & MLOps Lifecycles Explained: End-to-End Workflow
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How to Access Groq AI Models Using LangChain – Step-by-Step Hands-On Tutorial
BTECH Spark
How to Access Groq AI Models Using LangChain – Step-by-Step Hands-On Tutorial
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How to Access Hugging Face Models Using LangChain: Hands-On Guide
BTECH Spark
How to Access Hugging Face Models Using LangChain: Hands-On Guide
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Scrum Framework for Agile Implementation in telugu
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Scrum Framework for Agile Implementation in telugu
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Agile Frameworks in telugu
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Agile Frameworks in telugu
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Agile Estimation in telugu
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Agile Estimation in telugu
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Agile Requirements in telugu
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Agile Requirements in telugu
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Agile Principles in telugu
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Agile Principles in telugu
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Agile values in telugu
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Agile values in telugu
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Different SDLC methods & Agile Introduction in telugu
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Different SDLC methods & Agile Introduction in telugu
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SDLC in Telugu
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SDLC in Telugu
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Document-Based Q&A with LangChain: Using Gemini Model API in Google Colab
BTECH Spark
Document-Based Q&A with LangChain: Using Gemini Model API in Google Colab
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Build a Document Q&A System Using LangChain and Hugging Face Falcon in SageMaker
BTECH Spark
Build a Document Q&A System Using LangChain and Hugging Face Falcon in SageMaker
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Deploy Pretrained Models Using Amazon SageMaker Notebook: Step-by-Step Guide
BTECH Spark
Deploy Pretrained Models Using Amazon SageMaker Notebook: Step-by-Step Guide
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BYOM vs BYOS vs BYOC: Understanding ML Lifecycle Strategies
BTECH Spark
BYOM vs BYOS vs BYOC: Understanding ML Lifecycle Strategies
16:02
Stock Market Analysis and Prediction with Python: Data Preprocessing, Visualization & ML Training
BTECH Spark
Stock Market Analysis and Prediction with Python: Data Preprocessing, Visualization & ML Training
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Boost ML Model Performance with GridSearchCV: Visualization and Ridge Regression Explained
BTECH Spark
Boost ML Model Performance with GridSearchCV: Visualization and Ridge Regression Explained
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ML Regression Model evalution by r2 score and mean square error
BTECH Spark
ML Regression Model evalution by r2 score and mean square error
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Amazon Comprehend for NLP Tasks: Sentiment Analysis, Entity Recognition, and More
BTECH Spark
Amazon Comprehend for NLP Tasks: Sentiment Analysis, Entity Recognition, and More
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How to Interact with OpenAI Using ChatCompletion API Calls
BTECH Spark
How to Interact with OpenAI Using ChatCompletion API Calls
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ML Classification Models: Accuracy, Confusion Matrix, ROC, and AUC Explained
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ML Classification Models: Accuracy, Confusion Matrix, ROC, and AUC Explained
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Image Recognition with Amazon Rekognition: Labels Prediction and Analysis|Amazon Rekognition POC
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Image Recognition with Amazon Rekognition: Labels Prediction and Analysis|Amazon Rekognition POC
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AWS Service Catalog: Creating Portfolios & Launching SageMaker Products Hands-On
BTECH Spark
AWS Service Catalog: Creating Portfolios & Launching SageMaker Products Hands-On
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Data Visualisation & ML Model Idenitification
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Data Visualisation & ML Model Idenitification
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How to select a ML model based on model accuracy implementation
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How to select a ML model based on model accuracy implementation
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Histogram Classification of data, model summary of parameters and layers , model input features
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Histogram Classification of data, model summary of parameters and layers , model input features
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Fine-Tuning GPT Models with Fewer Parameters by Hugging Face Transformers for Optimized Performance
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Fine-Tuning GPT Models with Fewer Parameters by Hugging Face Transformers for Optimized Performance
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CPU Vs GPU Performance Analysis
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CPU Vs GPU Performance Analysis
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ML Model Analysis with TensorBoard Interactive Graphs Hands-On Tutorial
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ML Model Analysis with TensorBoard Interactive Graphs Hands-On Tutorial
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CNN-Based Image Classification by ML model: Complete Implementation Tutorial
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CNN-Based Image Classification by ML model: Complete Implementation Tutorial
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Challenges in Machine Learning Models: Semantic Gap, Overfitting, and Underfitting Explained
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Challenges in Machine Learning Models: Semantic Gap, Overfitting, and Underfitting Explained
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Essential Notations in Machine Learning: Inputs, Outputs, and Function Relationships Explained
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Essential Notations in Machine Learning: Inputs, Outputs, and Function Relationships Explained
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Building, Training & Predicting with Neural Networks baes ML models: Titanic Dataset Walkthrough
BTECH Spark
Building, Training & Predicting with Neural Networks baes ML models: Titanic Dataset Walkthrough
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Neural Network Layers Explained: From Basics to Advanced for ML Models
BTECH Spark
Neural Network Layers Explained: From Basics to Advanced for ML Models
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Activation functions in NeuralNetworks for ML models theory and hands on
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Activation functions in NeuralNetworks for ML models theory and hands on
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ML Model Development with Neural Networks: Theory to Practice
BTECH Spark
ML Model Development with Neural Networks: Theory to Practice
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Data Cleaning and Preprocessing: CSV Handling, Missing Values & Dummie
BTECH Spark
Data Cleaning and Preprocessing: CSV Handling, Missing Values & Dummie
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Complete Guide to ML Models: Classification, Regression, and Linear Regression Hands-On Lab
BTECH Spark
Complete Guide to ML Models: Classification, Regression, and Linear Regression Hands-On Lab
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Welcome to AWS Machine Learning Specialty Certification Domains and important services in English
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Welcome to AWS Machine Learning Specialty Certification Domains and important services in English
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LLM Model Selection Guide: Tips for Picking the Best Model on Hugging Face
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LLM Model Selection Guide: Tips for Picking the Best Model on Hugging Face
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NumericalPrecision or BF16 and BF32 in LLM models
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NumericalPrecision or BF16 and BF32 in LLM models
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Deep Dive into BERT Model: Architecture, Tasks & Training Parameters Explained
BTECH Spark
Deep Dive into BERT Model: Architecture, Tasks & Training Parameters Explained
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Bert model for Question and Answering hands on lab
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Bert model for Question and Answering hands on lab
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Bert model for Sentiment Analysis Using distilBert model hands on lab
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Bert model for Sentiment Analysis Using distilBert model hands on lab
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BERT based NamedEntityRecognition Hands on lab
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BERT based NamedEntityRecognition Hands on lab
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Advanced Search Techniques: Semantic Search, Similarity Search & Top 3 Results Based on Query
BTECH Spark
Advanced Search Techniques: Semantic Search, Similarity Search & Top 3 Results Based on Query
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MLM (Masked Language Model) | Predicting Masked Words in NLP with Hands-on Code
BTECH Spark
MLM (Masked Language Model) | Predicting Masked Words in NLP with Hands-on Code
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Embeddings in NLP: Theory to Practice with Python Code Examples
BTECH Spark
Embeddings in NLP: Theory to Practice with Python Code Examples
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Tokenization in NLP: Deep Dive with Hands-On Code
BTECH Spark
Tokenization in NLP: Deep Dive with Hands-On Code
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PreTraining vs FineTuning: Differences Based on Purpose, Data, Use Cases & Model Layers
BTECH Spark
PreTraining vs FineTuning: Differences Based on Purpose, Data, Use Cases & Model Layers
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Tokenization & Embeddings Explained with BERT Base Uncased Model: Theory & Hands-On
BTECH Spark
Tokenization & Embeddings Explained with BERT Base Uncased Model: Theory & Hands-On
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Transformer Model Architecture Explained | Encoder, Decoder & Attention Mechanism with Examples
BTECH Spark
Transformer Model Architecture Explained | Encoder, Decoder & Attention Mechanism with Examples
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NLP Embeddings Era: Word2Vec, GloVe, ELMo Explained with Practical Demos
BTECH Spark
NLP Embeddings Era: Word2Vec, GloVe, ELMo Explained with Practical Demos
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ML-Based NLP:Text Classification with NaiveBayes,Neural Networks,LSTM|FeatureEngineering:Pre&Post NN
BTECH Spark
ML-Based NLP:Text Classification with NaiveBayes,Neural Networks,LSTM|FeatureEngineering:Pre&Post NN
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ML based NLP models Intro,working,Issues with LinearRegression+NN+LSTM &Embeddings NLP model Intro
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ML based NLP models Intro,working,Issues with LinearRegression+NN+LSTM &Embeddings NLP model Intro
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Statistical NLP model Intro&workin&issueslimitations,ML based NLP model need,Intro
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Statistical NLP model Intro&workin&issueslimitations,ML based NLP model need,Intro
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NLP models Introduction,Rule Based Systems Intro&working&issues,Statistical NLP Intro
BTECH Spark
NLP models Introduction,Rule Based Systems Intro&working&issues,Statistical NLP Intro
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Rule Based Sytems | Why We Moved from Rule Based Sytems to Stastical NLP | Statistical NLP Intro
BTECH Spark
Rule Based Sytems | Why We Moved from Rule Based Sytems to Stastical NLP | Statistical NLP Intro
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Different NLP Methods: Rule-Based, Statistical, Machine Learning, Embeddings & Transformers
BTECH Spark
Different NLP Methods: Rule-Based, Statistical, Machine Learning, Embeddings & Transformers
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End to End Project on Databricks: Automated Customer Feedback Summary & Sentiment Analysis by GenAI
BTECH Spark
End to End Project on Databricks: Automated Customer Feedback Summary & Sentiment Analysis by GenAI
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Hands-On Lab with Databricks: Uploading Files, Creating Clusters, and Analyzing Data with Python
BTECH Spark
Hands-On Lab with Databricks: Uploading Files, Creating Clusters, and Analyzing Data with Python
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Databricks Account Setup & Platform Overview | Why Use Databricks?
BTECH Spark
Databricks Account Setup & Platform Overview | Why Use Databricks?
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Data Engineer Requirements: User Level vs Company Level Explained|need of data engineer in real time
BTECH Spark
Data Engineer Requirements: User Level vs Company Level Explained|need of data engineer in real time
10:53
Internal Working of LLM & GenAI Model & ML model or Key words used in GenAI application creation
BTECH Spark
Internal Working of LLM & GenAI Model & ML model or Key words used in GenAI application creation
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Generative AI vs Traditional AI based on use cases & training data set size
BTECH Spark
Generative AI vs Traditional AI based on use cases & training data set size
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Understaing GenAI using ChatGPT| GenAI vs AI vs ML vs DL | why chatgpt is a GenAI|Chatgpt purpose,..
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Understaing GenAI using ChatGPT| GenAI vs AI vs ML vs DL | why chatgpt is a GenAI|Chatgpt purpose,..
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GenAi introduction
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GenAi introduction
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Machine Learning: Different Types of ML Algorithms Explained
BTECH Spark
Machine Learning: Different Types of ML Algorithms Explained
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Artificial Intelligence | Machine Learning | Deep Learning | Generative AI
BTECH Spark
Artificial Intelligence | Machine Learning | Deep Learning | Generative AI
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Hands-On Lab: Access Bedrock Models Privately via Lambda & VPC Interface Endpoint
BTECH Spark
Hands-On Lab: Access Bedrock Models Privately via Lambda & VPC Interface Endpoint
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Different Prompting techniques,Zero shot , One shot , Few shot , Chain Of Thought(COT) prompting
BTECH Spark
Different Prompting techniques,Zero shot , One shot , Few shot , Chain Of Thought(COT) prompting
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Hands on Lab:Deploying Application with AI Integration for General Queries using Bedrock,Lambda&API
BTECH Spark
Hands on Lab:Deploying Application with AI Integration for General Queries using Bedrock,Lambda&API
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