Daily Edition · Page 1THE DAILY INDEXTechnology, AI, software, security, crypto and businessThursday, June 22, 2023Across today’s newslettersToday’s IndexTLDR AIPIXAR USED AI TO STOKE ELEMENTAL'S FLAMEPixar turned to AI to solve a unique animation challenge for its new movie 'Elemental', using AI to animate a character made of fire. Paul Kanyuk, a technical supervisor at Pixar, applied Neural Style Transfer (NST) technology to animate the fiery character, Ember. Despite the hefty computational demand, the team achieved a 20X speed-up by leveraging GPUs, heralding a new intersection of art and technology in animation.archive.ph · 6 minTLDR AISYNTHETIC DATA AND NEXT LEVEL CURATION GIVE BIG HUMANEVAL BOOSTTextbooks may be all you need for extreme AI performance. By using a highly curated set of data and synthetic textbooks with exercises, a 1.3B parameter model achieves 50+ on HumanEval, a challenging code benchmark. For context, this rivals ChatGPT and far surpasses the original 12B Codex model. This paper follows the Tiny Stories line of work and has lots of nice tidbits.arxiv.org · 18 minTLDR AIIN LANGUAGE MODELSLanguage models often hallucinate/confabulate information. This is likely because they are trained to imitate expert sequences which in turn causes them to treat their own (potentially wrong) generations as ground truth. Therefore, as sequence lengths grow, models are more likely to make stuff up. However, if you treat it as a Reinforcement Learning problem and find the next most probable action - while including a backspace action - you can dramatically reduce these hallucination issues.arxiv.org · 26 minTLDR AIANT IS DEVELOPING AN LLMJack Ma-backed Ant Group Co. is developing large-language model technology that will power ChatGPT-style services.archive.ph · 1 min
TLDR AIPIXAR USED AI TO STOKE ELEMENTAL'S FLAMEPixar turned to AI to solve a unique animation challenge for its new movie 'Elemental', using AI to animate a character made of fire. Paul Kanyuk, a technical supervisor at Pixar, applied Neural Style Transfer (NST) technology to animate the fiery character, Ember. Despite the hefty computational demand, the team achieved a 20X speed-up by leveraging GPUs, heralding a new intersection of art and technology in animation.archive.ph · 6 min
TLDR AISYNTHETIC DATA AND NEXT LEVEL CURATION GIVE BIG HUMANEVAL BOOSTTextbooks may be all you need for extreme AI performance. By using a highly curated set of data and synthetic textbooks with exercises, a 1.3B parameter model achieves 50+ on HumanEval, a challenging code benchmark. For context, this rivals ChatGPT and far surpasses the original 12B Codex model. This paper follows the Tiny Stories line of work and has lots of nice tidbits.arxiv.org · 18 min
TLDR AIIN LANGUAGE MODELSLanguage models often hallucinate/confabulate information. This is likely because they are trained to imitate expert sequences which in turn causes them to treat their own (potentially wrong) generations as ground truth. Therefore, as sequence lengths grow, models are more likely to make stuff up. However, if you treat it as a Reinforcement Learning problem and find the next most probable action - while including a backspace action - you can dramatically reduce these hallucination issues.arxiv.org · 26 min
TLDR AIANT IS DEVELOPING AN LLMJack Ma-backed Ant Group Co. is developing large-language model technology that will power ChatGPT-style services.archive.ph · 1 min