The Complete Generative Ai For Research And Development

The Complete Generative Ai For Research And Development - Printable Version

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The Complete Generative Ai For Research And Development - AD-TEAM - 02-15-2025

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The Complete Generative Ai For Research And Development
Published 2/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.06 GB | Duration: 1h 15m

Master Generative AI for Research and Development and learn Prototype creation, optimization and Many More!

What you'll learn

Understand Generative AI for Research and Development

Master Generative AI Best Practices for Research and Development

Learn the various concepts for Generative Models

Learn Vector Embedding in Generative AI

Requirements

You need to have basics understanding of Project Management Knowledge.

Description

This course covers many topics in Generative AI for Research and Development. Generative AI is a revolutionary branch of machine learning that enables machines to create new content, including text, images, music, and even code, based on patterns learned from vast datasets. One of the key components of generative AI is deep learning, particularly neural networks like Generative Adversarial Networks (GANs) and Transformer-based models such as OpenAI's GPT series. These models are trained on extensive datasets and use probabilistic algorithms to generate content that closely resembles human-created work. Generative AI is revolutionizing how content is produced. Writers, designers, and musicians can leverage AI to generate ideas, automate repetitive tasks, or even create complete works of art. AI-powered tools such as ChatGPT, DALL·E, and Stable Diffusion are being widely adopted for content generation, making creative processes more efficient and accessible. Generative AI continues to evolve, its impact on society will be shaped by how it is regulated and integrated into various industries. While it offers immense opportunities for innovation and efficiency, ethical considerations and responsible AI development must be prioritized. The future of generative AI lies in striking a balance between technological advancement and societal well-being, ensuring that it serves as an augmentation of human creativity rather than a replacement.

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: Generative AI Modules

Lecture 2 What is Generative AI

Lecture 3 Generative AI Models

Lecture 4 Vector Embedding in Generative AI

Section 3: Victor DB in Generative AI

Lecture 5 Victor DB in Generative AI

Lecture 6 Generative Model VS Discriminative Model

Section 4: Chrome DB in Generative AI

Lecture 7 Chorama DB Demo

Lecture 8 Chroma DB for creating API

Section 5: Embedding model in Generative AI

Lecture 9 Embedding Example in Generative AI

Lecture 10 Embedding Model

Section 6: LongChain in Generative AI

Lecture 11 LongChain in Generative AI

Project Management Professionals,Software Professionals

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