Large language models are having their Stable Diffusion moment
The open release of the Stable Diffusion image generation model back in August 2022 was a key moment. I wrote how Stable Diffusion is a really big deal at the …
The latest blog posts to take off on Hacker News. 789 posts.
The open release of the Stable Diffusion image generation model back in August 2022 was a key moment. I wrote how Stable Diffusion is a really big deal at the …
Including OpenAI’s other text generating AI!
See also: Large language models are having their Stable Diffusion moment right now .
Back in 2017 Long Island Ice Tea – known for its undistinguished, barely drinkable sugar-water – changed its name to "Long Blockchain Corp." Its shares surged to a peak of 400% over their pre-announcement price. The company announced no specific integrations with any kind of blockchain, nor has it made any such…
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A new feature that generates natural language answers to search queries using Wikipedia.
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Once you understand a few core concepts, modern chatbots are less mysterious.
ChatGPT is a fancy auto-complete : what it does is finding the most likely continuation of text for the text it has already printed out (or as a reply for the prompt, when it is starting printing stuff out), according to the large corpus of text it has been trained with.
Edit – this post generated a few insightful comments on Hacker News. I’ve also put the code in a notebook for ease of use. Introduction Modern MLOps is complex because it involves too many components. …
Augmenting GPT-3 with tools is a popular technique right now. But is GPT-3 really using them?
Sumplete.com was invented, coded and even named entirely by ChatGPT.
Who Is publishing the most Impactful AI research right now? With the breakneck pace of innovation in AI, it is crucial to pick up some signal as soon as possible. No one has the time to read everything, but these 100 papers are sure to bend the road as to where our AI technology is going. The real test of impact of…
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(Some of) what we've been up to for the past year-and-a-half at EleutherAI.
Developers can now integrate GPT‑3.5 Turbo and Whisper models into their apps and products through our API.
We’ve trained language models that are much better at following user intentions than GPT-3 while also making them more truthful and less toxic, using techniques developed through our alignment research. These InstructGPT models, which are trained with humans in the loop, are now deployed as the default language models…
On GPT-3: meta-learning, scaling, implications, and deep theory. The scaling hypothesis: neural nets absorb data & compute, generalizing and becoming more Bayesian as problems get harder, manifesting new abilities even at trivial-by-global-standards-scale. The deep learning revolution has begun as foretold.
GPT4, the start of The Great Implementation, a move from Generative to Productive AI, OpenAI's safety & growth strategies, and the future of work.
We’re introducing a neural network called CLIP which efficiently learns visual concepts from natural language supervision. CLIP can be applied to any visual classification benchmark by simply providing the names of the visual categories to be recognized, similar to the “zero-shot” capabilities of GPT-2 and GPT-3.
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I’ve been doing lots of experiments with GPT , though I’ve only written about one until now… the more serious something is the harder it is to call it finished or identify the outcomes. Here I’ll describe something a bit lighter: world building, or specifically city building, with GPT .
Historical research record. Fine-tuning against a modified noise, enables Stable Diffusion to generate very dark or light images easily.
tldr; With GPT-3, Supabase, Pinecone, and Klaviyo, I built a semantic embeddings search that saved hundreds of hours of manual work for my girlfriends skincare brand ( Oliver Care ).