Here's a video which shows how video input is used on chatGPT Chat

Chat GPT Bible - 10 Books in 1
Codi Byte, 2023

Generative AI isn't easy!

It’s the groundbreaking technology that creates new content—whether it’s images, text, music, or even entire virtual worlds.

To truly master Generative AI, focus on these key areas:

0. Understanding the Basics: Learn the foundational concepts of generative models, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and diffusion models.


1. Mastering Neural Networks: Dive deep into the types of neural networks used in generative AI, such as convolutional neural networks (CNNs) for image generation and transformer models for text.


2. Exploring Text Generation Models: Understand the mechanics behind language models like GPT and BERT, and how they generate human-like text.


3. Creating Images with AI: Learn how models like DALL-E and Stable Diffusion generate realistic images from textual prompts.


4. Working with Audio and Music Generation: Explore models like Jukedeck and OpenAI’s MuseNet to create music and sound using AI.


5. Building Custom AI Models: Get hands-on experience with frameworks like TensorFlow, PyTorch, and Hugging Face to train your own generative models.


6. Fine-Tuning Pre-Trained Models: Learn how to adapt large pre-trained models to specific tasks by fine-tuning them with domain-specific data.


7. Ethics and Bias in Generative AI: Understand the ethical implications of creating content using AI, including issues of plagiarism, bias, and misinformation.


8. Evaluating and Enhancing Generated Content: Learn how to assess the quality of generated content and fine-tune models to improve their results.


9. Staying Updated with Cutting-Edge Developments: Generative AI is rapidly evolving—keep up with new advancements, techniques, and applications in the field.



Generative AI is a creative force that blends technology with imagination.

💡 Embrace the challenge of creating innovative, AI-powered content that can transform industries and art.

⏳ With practice, patience, and creativity, you’ll unlock the potential of generative AI to create something truly unique!

#genai

💰 Calculating GPU memory for serving LLMs

Generative AI Essentials

LLM Generation Parameters

How to start learning Generative AI

🔅 Generative AI

Weekly Prompt

✨ Meeting Summary Scribe

🛠 Improving Prompts Effectiveness:

Today's prompt is:

Meeting Scribe

This prompt is aimed at

This prompt is aimed at professionals, team leaders, and administrative staff who are responsible for documenting meetings and communicating key information to stakeholders. The target audience includes anyone needing to summarize discussions effectively for clarity and accountability.

Those who will benefit from this include.

Individuals tasked with creating meeting minutes, team members who want to stay informed on action items, and managers looking to ensure follow-through on discussions will find this prompt beneficial. It helps improve communication and organization within teams.

📝 What This Prompt Does:

This prompt is designed to distill meeting notes into concise summaries that highlight discussion topics, key takeaways, and specific action items. By using this prompt, users can create clear and organized summaries that enhance understanding and facilitate accountability within teams.

📜 Prompt Name: Meeting Summary Scribe

Prompt:
Distill meetings into concise summaries including discussion topics, key takeaways, and action items.

Your task is to review the provided meeting notes and create a concise summary that captures the essential information, focusing on key takeaways and action items assigned to specific individuals or departments during the meeting. Use clear and professional language, and organize the summary in a logical manner using appropriate formatting such as headings, subheadings, and bullet points.

Ensure that the summary is easy to understand and provides a comprehensive but succinct overview of the meeting’s content, with a particular focus on clearly indicating who is responsible for each action item.

Google, Harvard, and even OpenAI are offering FREE Generative AI courses (no payment required) 🎓

Here are 8 FREE courses to master AI in 2024:

1. Google AI Courses
5 courses covering generative AI from the ground up
https://www.cloudskillsboost.google/paths/118

2. Microsoft AI Course
Basics of AI, neural networks, and deep learning
https://microsoft.github.io/AI-For-Beginners/

3. Introduction to AI with Python (Harvard)
7-week course exploring AI concepts and algorithms
https://www.edx.org/learn/artificial-intelligence/harvard-university-cs50-s-introduction-to-artificial-intelligence-with-python

4. ChatGPT Prompt Engineering for Devs (OpenAI & DeepLearning)
Best practices and hands-on prompting experience
https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/

5. LLMOps (Google Cloud & DeepLearning)
Learn the LLMOps pipeline and deploy custom LLMs
https://www.deeplearning.ai/short-courses/llmops/

Aws vs azure vs google cloud

Qualcomm
Engineer hiring Gen AI,QA

Apply link: https://cuvette.tech/app/other-jobs/678a3bca76eb5643b226f1d2?referralCode=8T994D

All the best 👍👍

Foundational Large Language Models & Text Generation