Generative AI for Leaders & Business Professionals

Empower leaders and business professionals to leverage ChatGPT basics—from sign-up and the UI to chats, custom GPTs, plugins, and custom instructions—for practical, real-world use.

Learn to generate images for free daily using Bing image creator, craft effective prompts, and compare DALL-E 3 with other tools, while saving, downloading, and customizing outputs.

Explore olly.social, a one-time-setup chrome extension that generates comments in your voice, checks post virality, and creates similar posts across LinkedIn, Facebook, Instagram, YouTube, and Twitter.

Launch into the massive GPT-4o image generation update, which converts photos to anime, replaces faces, and creates ads, infographics, and design assets in seconds using diffusion.

Learn to set up Midjourney on Discord, join the beta, and generate images using the imagine command, with options to upscale, vary, pan, zoom, and describe prompts.

Explore the Pika video generation tool for in-painting and image-to-video prompts with real-time edits on Discord, featuring a Midjourney-like queue and feedback-driven model training.

Explore Bard for leaders and business professionals: its chat interface, Gemini backend, real-time web browsing, image upload, and YouTube/article summarization; contrast with GPT-3.5/4 and note Gemini Ultra multimodal potential.

Claude-2 introduction by Anthropic presents a text-to-text AI with an API that uploads and chats with up to 500 pages of documents, offering data-friendly insights differing from Bard or ChatGPT.

Explore Runway's video generation tools, including gen two, motion brush, and text-to-video prompts, to create, edit, and upscale AI videos with credits.

Learn to generate audio with AI using ElevenLabs text-to-speech, voice lab cloning, and speech synthesis; generate, download, and optimize by removing silences for social media and presentations.

Explore how D-ID Studio turns images into talking presentations by uploading avatars, selecting a presenter, and generating video content with text or audio, using credits and personalized avatars.

Showcase Gen-3’s state-of-the-art video generation with realistic motion and granular visuals, and teach prompt design, cost analysis, and workflows across Runway and Claude.

Discover the langflow UI for designing AI workflows, creating projects and flows, wiring input and output nodes, and integrating OpenAI language models with prompts and system messages.

Explore building a large language model flow with components, inputs, outputs, data sources, a prompt template, and flow control to streamline interactions.

Learn to install and run Llama 3 locally with Ollama and explore its features. Connect it to Visual Studio Code as a copilot replacement for code generation and math reasoning.

Explore why leaders should care about generative AI, debunk misconceptions, and learn a practical, non-technical overview of how AI, ML, and deep learning drive business use cases and implementation.

Define artificial intelligence as systems that learn, adapt, and decide, and explain how AI collaborates with humans, outlining narrow, general, and super intelligent AI, plus machine learning and multimodal capabilities.

Explore how machine learning, a subset of AI, learns from data through supervised, unsupervised, and reinforcement learning, with examples in weather and market forecasting, fraud detection, customer segmentation, and recommendations.

Explore unsupervised learning, where algorithms identify patterns and cluster data without labels, grouping items like fruits by shape or color and customers by buying habits.

Learn reinforcement learning, where an agent acts in an environment and earns rewards or penalties, guided by positive and negative reinforcement. The approach powers image, video, and text generation tools.

Train models on labeled data to map inputs to outputs and manage false positives and false negatives, as seen in email spam detection.

Explore natural language processing, a subfield of AI that enables human computer interactions through natural language. Translate text to and from binary representations to power models like ChatGPT.

Explore computer vision, a subset of artificial intelligence that lets machines interpret and categorize visual data in images and videos, using modern models like Stable Diffusion XL and DALL-E 3.

Explore expert systems that emulate human decision-making by encoding expert knowledge and applying reasoning with if-then rules, bridging human expertise and computer diagnosis.

Neural networks imitate the brain's interconnected neuron structure with input, hidden, and output layers, learning through training to process human language and recognize patterns, including voice and speech.

Explore generative adversarial networks where a generator creates data and a discriminator critiques it in a continual feedback loop to improve image synthesis and style transfer.

Explore how variational autoencoders encode images into compact representations with an encoder and reconstruct them through a decoder, balancing reconstruction quality with reduced processing power requirements.

RNNs retain past context in a looping memory to process sequential data, enabling text understanding and predicting future values.

Explore how transformer architectures use self-attention to weigh different text segments, enabling focused processing, accurate text generation, and comprehension that underpins modern generative AI for leaders and business professionals.

Contrast gans and transformers by showing gan content generation refined through discriminator feedback, and transformers applied on top of gans to summarize the generated information.

Learn six tactics for clear prompt instructions in generative ai for leaders and business professionals. Improve outputs by detailing prompts, using delimiters, outlining steps, providing examples, and noting length.

Discover how reference text guides language models, reducing fabrication by constraining outputs to supplied material, using instruction plus reference content, and repurposing documents with cited passages.

Split complex tasks into smaller, modular steps by outlining first, modularizing components, and using intent classification and piecewise summarization to improve long outputs.

Explain how to let models think through their own reasoning using chain-of-thought, inner monologue, and sequences of queries to improve answer reliability. Apply these tactics to solar installation cost calculations.

This lecture shows how to use external tools, like retrieval augmented generation with embeddings-based search, code execution, and custom functions, to extract and compute from large documents.