Retrieval-augmented language models can better adapt to changes in world state and incorporate long-tail knowledge. However, most existing methods retrieve only short contiguous chunks from a retrieval corpus, limiting holistic understanding of the overall document context. We introduce the novel approach of recursively embedding, clustering, and summarizing chunks of text, constructing a tree with differing levels of summarization from the bottom up. At inference time, our RAPTOR model retrieves from this tree, integrating information across lengthy documents at different levels of abstraction. Controlled experiments show that retrieval with recursive summaries offers significant improvements over traditional retrieval-augmented LMs on several tasks. On question-answering tasks that involve complex, multi-step reasoning, we show state-of-the-art results; for example, by coupling RAPTOR retrieval with the use of GPT-4, we can improve the best performance on the QuALITY benchmark by 20% in absolute accuracy.

The quality of text-to-image generation is continuously improving, yet the boundaries of its applicability are still unclear. In particular, refinement of the text input with the objective of achieving better results - commonly called prompt engineering - so far seems to have not been geared towards work with pre-existing texts. We investigate whether text-to-image generation and prompt engineering could be used to generate basic illustrations of popular fairytales. Using Midjourney v4, we engage in action research with a dual aim: to attempt to generate 5 believable illustrations for each of 5 popular fairytales, and to define a prompt engineering process that starts from a pre-existing text and arrives at an illustration of it. We arrive at a tentative 4-stage process: i) initial prompt, ii) composition adjustment, iii) style refinement, and iv) variation selection. We also discuss three reasons why the generation model struggles with certain illustrations: difficulties with counts, bias from stereotypical configurations and inability to depict overly fantastic situations. Our findings are not limited to the specific generation model and are intended to be generalisable to future ones.

Researchers from the Neurosciences Research Centre have identified the strengths and limitations of tasks used to detect the early signs of Alzheimer’s through speech analysis and machine-learning.

Walt Disney World recently showed the Associated Press what it takes to put their shows together. It's a shift for a resort that hasn't allowed many peeks behind the curtains of the fantasy it creates. Maybe romantic Disney fairy tales come true after all. Data from the popular global online dating site Plenty of Fish reveals that singles who have expressed an interest in Disney are 3.6 times more likely to leave the app in a relationship compared to singles who more generally list interests in music and movies. That was certainly true for Disney fan Abby Schiller.

We have come to an advanced leg in our internet science journey. We can no longer think of the internet as a glorified encyclopedia. Enter the virtual assistant with its interpersonal secretary skills. Now, we have a machine that functions with human intent. In light of this, our search engine optimization (SEO) must reflect far more than keywords.

At New York Toy Fair last week Lego unveiled most of its set for Spring, Summer and Fall of 2017, here are the best ones. Whether you are a Lego collector or family builders, the selection is somewhat overwhelming. Clear though was that Disney and movie licences were driving the line. Whether it was sets from Frozen, Cinderella, The Little Mermaid, Star Wars or Moana the attention to film-inspired detail was impressive. Along with these were a number of new Minecraft sets, new kits for Ninjago, The Lego Batman Movie. Then there were Lego's own brands, Elves, Friends, City and Nexo Knights.

Haven't I read this before? Academics have used artificial intelligence program to map books content Researchers found each fell into six plot types based on the protagonist'Oedipus', 'Man in a Hole' and'Cinderella' were more popular with readers'Oedipus', 'Man in a Hole' and'Cinderella' were more popular with readers Revealed: Florence Henderson's own family was a far cry from... Simply magic! Harry Potter superfan, 29, spends eight hours... Revealed: Florence Henderson's own family was a far cry from... Simply magic! Harry Potter superfan, 29, spends eight hours... Rags to Riches: Pride and Prejudice; Great Expectations; Charlie and the Chocolate Factory Riches to Rags: King Lear; The Mayor of Casterbridge; Gone With the Wind; The Picture of Dorian Gray Man in a Hole (fall then rise): Robinson Crusoe; The Adventures of Tom Sawyer; The Ugly Duckling Rise Then Fall: Icarus; The Man Who Would be King; Wuthering Heights Cinderella (rise, fall then rise): Oliver Twist; King Solomon's Mines; Ben Hur; A Christmas Carol Oedipus (fall then rise then fall): The Tale of Robin Hood; Bridget Jones's Diary Moment judge gets slapped in the face at 2016 IFBB Diamond Cup Motorcyclist gets revenge when handing back driver's dropped wallet Mob storm police station and lynch suspected paedophile Watch the deadly battle between a squirrel and snake Panic as phone is submerged in WATER during condom challenge Woman who ranted in store also yelled at staff in Coffee shop Woman in high spirits'entertains' Southern Rail train passengers Police: Thief stole $1.6m in GOLD FLAKES from New York City truck Traveller carrying wooden bat in tense stand-off with bailiffs Angry Trump supporter goes on wild'racist' rant inside store 100 special police agents protect suspected paedophile from mob Tom Ford tells'The View' why he won't dress Melania Trump Motorcyclist gets revenge when handing back driver's dropped wallet Police: Thief stole $1.6m in GOLD FLAKES from New York City truck Angry Trump supporter goes on wild'racist' rant inside store Tom Ford tells'The View' why he won't dress Melania Trump Tom Ford refused to dress Melania Trump when asked in the... Doomed Colombia crash plane had been flying for 20 minutes... Woman who launched a'racist tirade' against two black... Detective claims California supermom may have been abducted... EXCLUSIVE: He's baaack! Serial sexter Anthony Weiner is... Get ready for the big freeze!

From Harry Potter and Romeo and Juliet to the stories of Oedipus and Icarus, almost every tale told conforms to one of just six plots, researchers have claimed. A major new analysis of over 1,700 stories identified the core plots'which form the building blocks of complex narratives'. Researchers used complex data-mining to locate words linked to positive or negative emotion in each story to reveal the set of arcs. A major new analysis of over 1,700 stories identified the core plots'which form the building blocks of complex narratives'. Shown, the plot of Harry Potter and the Deathly Hallows, which researchers found has the'rise, fall rise' plot.