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Powering AI With Vector Databases: A Benchmark - Part II - Data - Blog - F-Tech

Feb 10, 2023 12:15 • www.farfetchtechblog.com F-Tech

F-Tech is the product, data and technology side of FARFETCH. We are an informal organisation of teams with a strong culture and passion for product, data an

Thread by @rowancheung on Thread Reader App

Feb 8, 2023 14:51 • threadreaderapp.com

@rowancheung: ChatGPT can make you superhuman. But almost everyone's STUCK in beginner mode. 10 advanced techniques to hack chatGPT: (copy-and-paste 👇) 1. Make ChatGPT undetectable by plagiarism If you're getting pl...…

Thread by @nomadito on Thread Reader App

Feb 8, 2023 06:40 • threadreaderapp.com

@nomadito: Las 7 plataformas que yo utilizo para comprar vuelos al mejor precio. ⤵️ 1⃣ Google Flights Mi favorita por mucho. ¿Quién no la ha usado todavía? ✈️Suelo encontrar las mejores ofertas en esta plataforma de...…

Humata - ChatGPT for your files

Feb 6, 2023 13:29 • www.humata.ai

Humata is ChatGPT for your files. Ask questions about your data and get instant answers powered by AI. Learn, summarize, synthesize, and extract valuable data from your files 100X faster.

GitHub - markuswt/gpt-commit: Generate commit messages using GPT-3

Feb 5, 2023 20:52 • github.com GitHub

Generate commit messages using GPT-3. Contribute to markuswt/gpt-commit development by creating an account on GitHub.

ChatGPT is not all you need. A State of the Art Review of large Generative AI models

Feb 5, 2023 20:48 • arxiv.org arXiv.org

During the last two years there has been a plethora of large generative models such as ChatGPT or Stable Diffusion that have been published. Concretely, these models are able to perform tasks such as being a general question and answering system or automatically creating artistic images that are revolutionizing several sectors. Consequently, the implications that these generative models have in the industry and society are enormous, as several job positions may be transformed. For example, Generative AI is capable of transforming effectively and creatively texts to images, like the DALLE-2 model; text to 3D images, like the Dreamfusion model; images to text, like the Flamingo model; texts to video, like the Phenaki model; texts to audio, like the AudioLM model; texts to other texts, like ChatGPT; texts to code, like the Codex model; texts to scientific texts, like the Galactica model or even create algorithms like AlphaTensor. This work consists on an attempt to describe in a concise way the main models are sectors that are affected by generative AI and to provide a taxonomy of the main generative models published recently.