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Mastering AI Models with Hands-On Google Colab Projects
#1
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Published 8/2024
Created by Yu Li
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 30 Lectures ( 1h 8m ) | Size: 743 MB

Idea Implementation with Hugging Face, GPT-4o, GPT2, Llama3, Mistral-7B, NLLB, diffusers, HuBERT and Bark Using Colab

What you'll learn:
Create Question and Answer Chatbot Using Colab, Llama 3, Mistral-7B and GPT2 Models
Generate Images from Text Using Colab and Stable Diffusion Model
Image Recognition Using Colab and GPT-4o API
Generate Voice Using Colab and Bark Model
Generate Video Using Colab and text-to-video-ms-1.7b Model

Requirements:
No programming experience needed
Interesting of learning

Description:
Table of ContentsHow to use Google ColabTranslation text use NLLB ModelQnA with Llama 3  Model and Mistral-7B  Model based on FaQ QnA with GPT-2  Model based on a JSON FileImage Generation with Stable Diffusion ModelImage Recognition with GPT-4o ModelVoice Generation with Bark ModelText to Video with text-to-video-ms-1.7b ModelDescriptionHow to use Google ColabHow to create a Google Colab projectHow to run a python project on ColabHow to choose GPUHow to use external File on ColabHow to use file from Google Driver on ColabHow to use Hugging Face token and ChatGPT token from ColabTranslation text use NLLB ModelBased on a text in german, using NLLB Model we can translate it to english. NLLB Model supports for more than 200 languages as input and output.QnA with Llama 3  Model and Mistral-7B  Model based on FaQ An FaQ text file was prepared, by using Llama 3 Model or Mistral-7B Model, questions about this FaQ file can be raised and the Chatbot will give answer based on the FaQ file.QnA with GPT-2  Model based on a JSON FileInformation about a dummy company profile was prepared in a json file, by using GPT-2 Model, the Chatbot will give answer based on the company profile, if related question is raised. Image Generation with Stable Diffusion ModelBased on text, an image will be generated by using stable diffusion model.Image Recognition with GPT-4o ModelGiven a image of a Sculpture, using GPT-4o model, it will tell you what is inside the image and give you information about the sculpture. Voice Generation with Bark ModelBased on the voice you provide, the Bark model tries to generate a voice file for text snippets.Text to Video with text-to-video-ms-1.7b ModelGiven a text description about a scenario, the text-to-video-ms-1.7b will generate a video for you.

Who this course is for:
People who are curious about AI
People who wanna interact with AI Models
People who are interested in showcases of using AI models
People who wanna run AI Models on Google Colab

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