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Generative AI and Prompt Engineering
Introduction to Generative AI
Introduction to AI and Machine Learning
Introduction to Generative AI
Setting Up the Environment
Prompt Engineering for Generative AI
Prompt Engineering for Generative AI
Getting Started with Prompting
Generative AI Applications
Generative AI Applications
Getting Started with Open AI
Getting Started with OpenAI
Prompt Engineering - Summarizing and Inferring
Using Large Language Models, Fine Tuning, Security and Privacy
Controlling Hallucinations
Open Source LLM Ecosystem
Understanding Large Language Models
Working with LLAMA
Open Source LLM Ecosystem
Using LLAMA to Retrieve Captions from a Video
Generative AI - LLM Ecosystem and Frameworks
LangChain Ecosystem
Getting Started with LangChain
Working with LangChain
Working with Memory Embeddings Agents
Working with Memory and Haystack
Vector Databases and Embedding Techniques
Working with Vector Databases
Generative AI - for Software Engineering
Generative AI - for Software Engineering
Generating Code and Unit Tests with Generative AI
Building Applications using Generative AI
Building Applications Using Generative AI
Translating Code with Generative AI
Generative AI Legal, privacy, Security Concerns
Generative AI Legal, privacy, Security Concerns
Building Application using Gen AI - Case Studies
Building Application using Gen AI - Case Study
Domain specific Chat BOT - Fine tuning of Models
Document Insights extraction
Summary and Entity Extraction using Generative AI
Dynamic Masks with DALL-E and Segment Anything
Solution Architecture for Gen AI
Solution Architecture for Gen AI
Prompt Engineering for Generative AI
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