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AWS, JavaScript, React - Deploy Web Apps on the Cloud - After the Cloud
In this video, we will understand how organizations benefit from migrating to the cloud and what benefits and challenges organizations can face with this migration.
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Make Apps with ChatGPT and Generative AI - Temperature Control
Here, we will understand about a parameter of ChatGPT, temperature, which is a value anywhere from 0 to 1. The higher the value, more is the risk taken by the model and a lower value means the answer is a confident one. This clip is from...
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Make Apps with ChatGPT and Generative AI - Tokenization
In this lesson, we will discuss about tokens, which are the “currency” on the OpenAI models that process text by breaking them into smaller unites called tokens. We will understand how tokenization works in ChatGPT. This clip is from the...
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Make Apps with ChatGPT and Generative AI - Optimizing Prompts
In this video, we will understand the other key concepts of ChatGPT before we begin creating models. You will learn about prompts, tokens, and temperature and understand them in detail. This clip is from the chapter "What Are OpenAI and...
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Make Apps with ChatGPT and Generative AI - GPT3 Davinci: Capabilities
This video demonstrates the Davinci model and explains to us the capabilities of the Davinci model and what things it can do. You will learn about its classification and categorization abilities, content generation, conversation, and...
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Make Apps with ChatGPT and Generative AI - GPT3 Models: Pros and Cons
In this lesson, we will explore the different GPT-3 models available, understand their features and capabilities, and also the advantages and disadvantages of the Davinci, Curie, Babbage, and Ada models. How to select the model of choice...
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Make Apps with ChatGPT and Generative AI - OpenAI
This video discusses about the San Franciscan AI deployment company, OpenAI. We will understand the mission of the company, what it delivers, and what cutting edge technology it is coming up with. We will understand the different models...
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The Complete Strapi™ Course with Plugins and Deployment - Lifecycle Hooks Exercise: Part 3 (First Programmatic Hook)
In this video, we will cover the first programmatic hook. This clip is from the chapter "Extending Strapi Core: Custom Controllers and More" of the series "The Complete Strapiâ„¢ Course with Plugins and Deployment".In this section, we...
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The Complete Strapi™ Course with Plugins and Deployment - Data Models and APIs
In this video, we will understand the data models and APIs. This clip is from the chapter "Extending Strapi Core: Custom Controllers and More" of the series "The Complete Strapiâ„¢ Course with Plugins and Deployment".In this section, we...
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The Complete Strapi™ Course with Plugins and Deployment - Content Types: An Introduction
In this video, we will be creating our first Strapi content types and understand what content types are. This clip is from the chapter "Designing Strapi Content Types" of the series "The Complete Strapiâ„¢ Course with Plugins and...
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Make Apps with ChatGPT and Generative AI - Stock Photo Generator Testing
In this video, we will finally test the stock photo generator. We will run the application and verify the characters generated based on the text or image inputs that we provided and check the output based on the prompt request. This clip...
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Make Apps with ChatGPT and Generative AI - Deploying OpenAI ChatGPT to Azure Functions
After successfully testing and deploying our function in the local workspace, we will now test and deploy our function in the OpenAI ChatGPT to create responses for the Azure functions that we have created. This clip is from the chapter...
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Make Apps with ChatGPT and Generative AI - Local OpenAI ChatGPT Testing
In this video, we will test our Azure function over a local workspace for functionality. We will define the parameters for the response and then test the function by deploying it. You will learn to create a wrapper API and integrate it...
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Make Apps with ChatGPT and Generative AI - Python Access to OpenAI API
The next stage is to create a serverless ChatGPT API, which enables us to ping OpenAI API. We will build Azure functions that will ping the API, ask questions, and show the responses on the API. We will link out Python to the OpenAI API...
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GCSE Physics - Development of the model of the atom #31
This video covers: - Democritus - Atomic Theory - John Dalton - Solid spheres - JJ Thompson - Plumb Pudding model - Ernest Rutherford - Nuclear Model - Niels Bohr - Electron shells - James Chadwick - Neutrons General info: - Suitable for...
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GCSE Chemistry - States of Matter & Changing State #21
This video explains 'particle theory' and uses it to describe the 3 states of matter: solid, liquid and gas. It also covers how substances move between these states at the particle level. This video is suitable for: - All exam boards -...
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GCSE Chemistry - History of the Model of the Atom #7
This video covers: - Democritus - Atomic Theory - John Dalton - Solid spheres - JJ Thomson - Plumb Pudding model - Ernest Rutherford - Nuclear Model - Niels Bohr - Electron shells - James Chadwick - Neutrons General info: - Suitable for...
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What Links Dice and Tesseracts? | Machining the Platonic Solids
In this video, we machine the 3D platonic solids and explore these polyhedrons in higher dimensions. Hazel talks through the history of these fascinating shapes and reveals interesting facts along the way.
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A Practical Approach to Timeseries Forecasting Using Python - BiLSTM and Stacked BiLSTM
This video helps you with the execution of BiLSTM and Stacked BiLSTM on data. This clip is from the chapter "Project 2: Microsoft Corporation Stock Prediction Using RNNs" of the series "A Practical Approach to Timeseries Forecasting...
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A Practical Approach to Timeseries Forecasting Using Python - LSTM Implementation and Errors
This video explains the implementation of LSTM and its errors. This clip is from the chapter "Project 2: Microsoft Corporation Stock Prediction Using RNNs" of the series "A Practical Approach to Timeseries Forecasting Using Python".This...
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A Practical Approach to Timeseries Forecasting Using Python - BiLSTM for Time Series Forecasting
This video talks about BiLSTM for time series forecasting. This clip is from the chapter "Recurrent Neural Networks in Time Series Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using Python".This section...
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A Practical Approach to Timeseries Forecasting Using Python - LSTM Parameter Change and Stacked LSTM
This video explains LSTM Parameter Change and Stacked LSTM. This clip is from the chapter "Recurrent Neural Networks in Time Series Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using Python".This section...
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A Practical Approach to Timeseries Forecasting Using Python - LSTM Implementation on Dataset
This video demonstrates LSTM implementation on the dataset. This clip is from the chapter "Recurrent Neural Networks in Time Series Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using Python".This section...
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A Practical Approach to Timeseries Forecasting Using Python - Dataset Preparation and Scaling
This video helps you with dataset preparation and scaling from scratch. This clip is from the chapter "Recurrent Neural Networks in Time Series Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using Python".This...