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Episode 16 - Midjourney vs Google SGE vs OpenAI DALL-E 3
Manage episode 407381680 series 3560533
Konten disediakan oleh Jeff Hwang and Seymour Duncker. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Jeff Hwang and Seymour Duncker atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.
Seymour and Jeff discuss the recently announced updates from OpenAI, especially regarding image generation in GPT-4 and DALL-E 3. Our ranking of image generation AI's from best to worst: (1) Midjourney, (2) Google Search Generative Experience (SGE), and finally (3) DALL-E.
Jeff closes by talking about the recent LLM workshop he conducted for junior high and middle school students.
Links:
- OpenAI announces new voice chat and image features for ChatGPT.
- DALL-E 3 update.
- Google Converse aka Google SGE is still better than DALL-E.
- Midjourney is still the best.
- Regarding earlier deep learning methods of translating sketches into finished drawings, Jeff was thinking of NVIDIA's GauGAN, based on SPatially-Adaptive DEnormalization (SPADE).
- 2019 blog post by NVIDIA.
- Associated paper at arXiv and code at GitHub.
- From Jeff's workshop:
- Definitions for the G,P, and T in "ChatGPT"
- Generative (as in generative AI--see this entire podcast 😉).
- Pre-trained.
- Transformer.
- Meta/FB's Llama2 (7 Billion parameters).
- Fine-Tuning–one of part of many methods to optimize a base model. See charts in this NVIDIA article.
- Low-Rank Adaptation:
- Conceptual article about LoRA at HuggingFace.
- Original LoRA 2021 paper.
- May 2023 QLoRA paper.
- August 2023 LoRA-FA paper.
- Short Wikipedia description of LoRA.
- Definitions for the G,P, and T in "ChatGPT"
- 2019 programmer joke about using Google and StackOverflow.
Send questions/comments to stepfunctionpod@gmail.com and find us on the web at www.stepfunction.org
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