AI ASAP: ChatGPT, Claude, Midjourney, Gemini, Flux & More

Define AI as a term for machines with human-like intelligence, from pattern recognition to task execution, and outline AGI and ASI goals, plus examples like llms and diffusion models.

Learn how large language models work, from parameter and run files to pre-training, fine-tuning, and reinforcement learning, including tokens, token limit, and prompt engineering.

Discover the interfaces of chat models like ChatGPT, Claude, Gemini, and Ollama, and learn prompt engineering, file uploads, and canvas-based coding tips.

LLMs can generate text, write and shrink code, and summarize content. See how they use tools like calculators, Python interpreters, diffusion models, data analysis, translation, and charts.

Learn prompt engineering for LLMs by using structured prompts and role prompting to provide context, trigger semantic association, and produce precise, high-quality outputs with Copilot, ChatGPT, and other models.

Master prompt techniques, including role prompting and shot prompting, and learn to think step by step, take a deep breath, save tokens, and generate outputs for ChatGPT and Copilot.

Learn how to customize LLMs using system prompts and retrieval-augmented generation, comparing prompts versus direct technology with vector databases, including practical steps for onboarding GPTs and uploading knowledge bases.

Explore open source AI chat tools like hugging jet and Perplexity. Choose models such as llama 3.1 or Nvidia and use tools for image generation, web search, and calculation.

Learn how developers can integrate ChatGPT via the OpenAI API, including per-token pricing, API calls, model options, function calling, playground usage, and quickstart examples in Python, JavaScript, or curl.

New Claude models appear, including Sonnet 5 and Fable 5; Fable 5 is time-limited and may incur API pricing, so use Opus for tasks and reserve Fable for hard problems.

Explore the interfaces of llms and their tools, including Python, diffusion models, and internet. Learn prompt engineering basics, multimodal capabilities, and customizing with system prompts and agents.

Explore how diffusion models train on images paired with text, progressively add noise, and reverse the process to generate images from prompts, with examples from Stable Diffusion and other tools.

Explore prompt engineering for diffusion models by using Dall-E with ChatGPT to craft detailed prompts that specify subject, medium, environment, lighting, color, mood, composition, and aspect ratio.

Discover OpenAI’s 4D image generation in ChatGPT and Sora, an autoregressive model that renders detailed prompts, supports in-painting edits, and offers safety features.

Explore Midjourney basics to create, edit, and retexture realistic images using prompts, seeds for consistency, upscaling, and inpainting, with fast, turbo, and diverse style options.

Explore Ideogram and Adobe Firefly, two diffusion models; Ideogram specializes in text within images, while Firefly enables text-to-image, editing, outpainting, and vector creation within Adobe workflows.

Explore open source diffusion models such as stable diffusion, flux, and recraft. Learn fast, free options to run them locally or in the cloud, including Colab notebooks and Focus.

Explore how diffusion models generate images from prompts, edit with inpainting and outpainting, and compare popular tools like Dall-E, Midjourney, stable diffusion, and flux for marketing visuals.

Create cling AI videos from text or images, applying prompts, camera movements, start and end frames, and motion brush techniques for viral image-to-video results.

Explore text-to-speech with ElevenLabs and open-source tools to generate natural voices in 32 languages, clone voices, and craft audiobooks, voiceovers, and multilingual videos.

Learn to transcribe speech with whisper, the free open-source OpenAI tool, either locally or via the OpenAI API. Install with pip, explore Pinocchio, and generate cost-effective transcripts with timestamps.

Generate AI music with Udio using diffusion models, audio generation, and customizable lyrics and instrumentals. Log in, set electronic tags, and remix, extend, or publish your tracks in minutes.

Learn how to maximize AI outputs by mastering llms, prompt engineering, and semantic context, using both closed and open source tools, plus diffusion models for text, image, audio, and video.