eskalexia.eth (🏳️‍🌈)

Anecte Two-Shadows - Punished by the Sun Seeking to master the Song, a language of harmony and disruption, many lose their voices. A few even lose the spark of creation - a disciple of the Song, deprived of warmth and death. @ether_cards #EtherCards #NFTArt #NFTStories #cryptoart

Inverse Painting can generate time-lapse videos of the painting process for any artwork! The method learns from diverse drawing techniques, producing realistic results across different artistic styles. Links ⬇️

This 76-page paper on Prompting Techniques has become quite popular. A nice read for your weekend. - "The Prompt Report: A Systematic Survey of Prompting Techniques": ✨ Explores structured understanding and taxonomy of 58 text-only prompting techniques, and 40 techniques for other modalities. 📌 The paper focuses on discrete prefix prompts rather than cloze prompts, because prefix prompts are widely used with modern LLM architectures like decoder-only models. It excludes soft prompts and techniques using gradient-based updates. 📌 The paper identifies 58 text-based prompting techniques broken into 6 major categories: 1) In-Context Learning (ICL) - learning from exemplars/instructions in the prompt 2) Zero-Shot - prompting without exemplars 3) Thought Generation - prompting the LLM to articulate reasoning 4) Decomposition - breaking down complex problems 5) Ensembling - using multiple prompts and aggregating outputs 6) Self-Criticism - having the LLM critique its own outputs 📌 For ICL, it discusses key design decisions like exemplar quantity, ordering, label quality, format, and similarity that critically influence output quality. It also covers ICL techniques like K-Nearest Neighbor exemplar selection. 📌 Extends the taxonomy to multilingual prompts, discussing techniques like translate-first prompting and cross-lingual ICL. It also covers multimodal prompts spanning image, audio, video, segmentation, and 3D modalities. 📌 More complex techniques like agents that access external tools, code generation, and retrieval augmented generation are also taxonomized. Evaluation techniques using LLMs are discussed. 📌 Prompting issues like security (prompt hacking), overconfidence, biases, and ambiguity are highlighted. Two case studies - benchmarking techniques on MMLU and an entrapment detection prompt engineering exercise - are presented.

That's a new one: 3D model upscaling! Adobe's SuperGaussian can upsample 3D objects by adding geometric and appearance details by repurposing existing video models for 3D super-resolution. supergaussian.github.io

1/ Congratulations to the @eigencloud team on launching the EIGEN token! This is a *wildly* different design from anything we’ve seen to date so I’d like to share simple explanations of the most important concepts in EIGEN to help everyone grok it. Let’s dive in 👇

@moonbirds you should have read your own license cc0 forever

You’re going to need a character. A character that you own. Starting today, Moonbirds will join Mythics as a collection with commercial rights. If you’ve made stuff during the CC0 era - cool. But from now on, you’ll need to own a Moonbird to keep doing so. [2/8]

@eigencloud im not getting twitter subscription just to edit my typos and orthographical failures slash me lol

@eigencloud $EIGEN just dropped proof-of-truth, social truth validation, and leads us towards anti-freagility and better (and safer decentralization) a brabble and thread, i guess 1/22

also, lol, my first big thread. if you like it (or if you want to flame the shiet out of it because i got something totally wrong, retweet me i guess) twitter.com/eskalexia/stat…

don’t fade eigen anon 22/22 (also, read the whitepaper, im still reading and digesting it, so dont unalive me anon, but eigen is gud, just left-curve it, dont fall into the mid-curve YT blabla)