some of the really cool AI development that I have encountered
2 min read
GPT3 [ Generative Pre-trained Transformer 3 ]
GPT-3, or the third generation Generative Pre-trained Transformer, is a neural network machine learning model trained using internet data to generate any type of text. Developed by OpenAI, it requires a small amount of input text to generate large volumes of relevant and sophisticated machine-generated text. GPT-3's deep learning neural network is a model with over 175 billion machine learning parameters. To put things into scale, the largest trained language model before GPT-3 was Microsoft's Turing NLG model, which had 10 billion parameters. As of early 2021, GPT-3 is the largest neural network ever produced. As a result, GPT-3 is better than any prior model for producing text that is convincing enough to seem like a human could have written it.
Stable Diffusion by Stability AI
Stable Diffusion is a text-to-image model that will empower billions of people to create stunning art within seconds. It is a speed and quality breakthrough that can run on consumer GPUs. You can see some of the amazing output that has been created by this model without pre or post-processing on this page. Some more examples of text-to-image generation models are DALLE, Midjourney
A podcast that is entirely generated by artificial intelligence. The episodes are rendered using play.ht's ultra-realistic voices, and transcripts are generated with fine-tuned language models. For example, the Steve Jobs episode was trained on his biography and all recordings of him we could find online so the AI could accurately bring him back to life.
An AI system that can edit and generate videos using a description in natural language.
Replit Ghost Writer
Replit GhostWriter is an artificial intelligence engine that auto-completes code you’re working on. It helps you develop code faster by recommending code instantly. At launch, GhostWriter will be available as part of AI Mode, currently in private beta for invited Replit users. GhostWriter tries to guess what you would write next by analyzing code you’ve already written along with clues like what language you’re coding in and packages you’ve installed. Suggestions can be single lines of code, whole functions, or even an entire program. You can accept or reject suggestions. GhostWriter learns from your interactions and uses those learnings to improve its ability to make suggestions over time.
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