How generative AI is Changing the way people interact with computers
summary
Claims that large generative models like ChatGPT/GPT‑4, Whisper and Llama now generate working code, translate across languages and collapse years of study into seconds; practical tool demos include an AE code translator that converts code both ways and the LMQL prompt‑engineering layer for chaining LLMs; applied results range from AI‑designed drug and materials candidates to Midjourney art winning competitions and a contentious MRI reconstruction paper that partly decodes images from brain scans; warns of huge compute/carbon costs and pushes edge deployment and ethics frameworks.
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chapters (10)
- 0:00Introduction
- 2:04Generative AI trends and impact
- 8:13Defining generative AI
- 11:02Generative AI models and capabilities
- 13:57AI regulation in EU
- 16:06Top generative AI tools
- 18:45Future of generative AI
- 22:11AI ethics and challenges
- 23:36AI transformative period
- 26:10Q&A
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