Starting Generative AI On Cloud New Series- AWS And Azure

Summary

YouTuber Krishak announces new video series on deploying generative AI applications on cloud platforms like Azure and AWS. He plans to cover Azure AI Services and AWS Sagemaker, including fine-tuning, deployment, and production. Krishak emphasizes the importance of having Azure and AWS accounts for practical experience. He outlines prerequisites like NLP knowledge, Python, and familiarity with frameworks like Langchain and Hugging Face. He also stresses the value of dedication and building an online presence to showcase skills and projects.

Takeaways

• 😀 The speaker, Krishak, is launching new YouTube playlists focused on implementing generative AI applications in cloud platforms like Azure and AWS.
• 🌐 The playlists will cover Azure AI Services and AWS Sagemaker, including topics like fine-tuning models, deployment, and setting up endpoints.
• 🔧 Krishak emphasizes the importance of understanding LLM (Large Language Models) Ops, which is an extension of MLOps tailored for language models.
• 💼 The content is aimed at helping viewers make career transitions and meet industry requirements for working with generative AI in the cloud.
• 💡 Krishak will demonstrate how to take AI models from development to production, highlighting the significance of this skill in the job market.
• 💼 The speaker suggests that having an Azure and AWS account is essential, even for those with limited budgets, as it provides hands-on experience with cloud services.
• 📚 Prerequisites for the playlists include knowledge of NLP, Python programming, and familiarity with frameworks like Langchain, Lama, and Hugging Face.
• 💼 Krishak advises viewers to be dedicated and build a strong online presence to showcase their skills and attract potential job opportunities.
• 📈 The playlists will be progressive, starting with basics and building up to more complex applications, aligning with Krishak's teaching philosophy.
• 🔗 The speaker encourages viewers to support the channel, subscribe, and turn on notifications to stay updated with the new content.

Q & A

What is the main focus of Krishak's YouTube channel?

Krishak's YouTube channel focuses on Generative AI, showcasing the use of various frameworks and Foundation models for creating end-to-end applications.

What new series is Krishak planning to start on his channel?

Krishak is planning to start a series on implementing Generative AI applications in Cloud platforms such as Azure and AWS.

What specific services within Azure AI Services will Krishak be covering?

Krishak will be covering Azure Open AI Services, including applications related to images and text.

How does Krishak plan to demonstrate the use of AWS SageMaker?

Krishak plans to demonstrate how to create end-to-end Generative AI applications using AWS SageMaker, including fine-tuning, deployment, and setting up endpoints.

What is the importance of fine-tuning and deployment in the context of Krishak's videos?

Fine-tuning and deployment are important as they cover the process of taking AI models from development to production, which is a critical skill in the industry.

What does Krishak mean by 'LLM Ops'?

Krishak refers to 'LLM Ops' (Large Language Model Operations), which is an extension of MLOps specifically focused on the operations and management of large language models.

What are the prerequisites Krishak mentions for his new series?

The prerequisites include knowledge of NLP, Python programming, understanding of machine learning and deep learning concepts like word embeddings, and hands-on experience with frameworks like Hugging Face.

Why does Krishak emphasize the need for an Azure and AWS account for his new series?

Krishak emphasizes the need for Azure and AWS accounts because the new series will focus on cloud-based implementations, and having these accounts allows viewers to practice and gain practical experience.

What advice does Krishak give regarding dedication and learning from his content?

Krishak advises viewers to be dedicated, focused, and to build solutions and projects to showcase their skills and credibility online.

How does Krishak plan to manage costs for viewers who might be concerned about using Azure and AWS services?

Krishak plans to demonstrate services that are cost-effective, using smaller datasets for fine-tuning to minimize charges, and ensuring to stop services to avoid unnecessary costs.

What is Krishak's final request to his viewers at the end of the script?

Krishak's final request is for viewers to support his channel by subscribing, pressing the Bell notification icon, and looking forward to the next video.