SlowGuess/NeurIPS_2023_OCR huggingface dataset:
We increase the base  $\mu$  Transfer learning rate to  $2\times 10^{-3}$  (at width 256). The denoiser network is a Transformer with 24 layers of width 2048 and a vocabulary size of 32K tokens, for a total of 1.3B parameters. We train for 1.2M steps at batch size 256 and sequence length 1024, for a total of 314B tokens. All other details are as written above. Training took 30 days on 8 A100s.
C.5 User studies
The overall experimental design follows a blinded randomized binary choice experiment. The details are as follows: We recruited crowd workers using Amazon Mechanical Turk (selection criteria: US location,  $95\%$  HIT approval rate,  $>1000$  HITs approved). Workers were shown two random samples in random order and given the following prompt: "Given two short pieces of text, decide which is more coherent overall (i.e. has the fewest grammar mistakes and makes the most sense)." Workers were paid $0.15 per task, which we estimated to take less than 30 seconds on average.
D IsoFLOP profiles
Figure 5: IsoFLOP profiles for autoregressive models (left) and diffusion models (right).
E Plaid 1B Random Samples
E.1 Unconditional
+147402] Gibdobber (19.55) [157000+148691] Arch-Princess (19.53) [157000+147720] Snow White (19.42) [157000+147790] Magdalene (19.41) [157000+148447] Corrin (18.93) [157000+148068] Pinocchio (18.92) [157000+148396] Ayya (18.85) [157000+148384] Alaina (18.84) [157000+148384] Olaf (17.76) [157000+148791] Chu (17.72) [157000+148493] Robin (17.62) [157000+147823] Papyrus (17.64) [157000+148396] Elsa (17.64) [157000+148384] Gerald (17.62) [157000+148659] Marie (16.52) [157000+148659] Anna (16.52) [157000+148597] Leon (16.52) [157000+148697] Paul (16.48) [157000+148697] Reg (16.46) [157000+148697] Shu (16.44) [157000+148659] Aurora (16.43) [157000+148597] Heinrich (16.33) [157000+147798] Perraman (16.01) [157000+148696] Peter (15.91) [157000+148592] Papyrus (15.72) [157000+148596] Arch-Maid (15.72) [157000+148069] Belldobber (15.66) [157000+148396] Corrin (15.64) [157000+148591] Helena (15.60) [157000+148397] Hazel (15.57) [157000+148594] Alva (15.56) [157000+148653] Olaf (15.53) [157000+148149] Anna (15.53) [157000+148597] Hans (14.49) [157000+148597] Heinrich (14.43) [157000+148657] Aurora (13.42) [157000+148656] Shu (13.38) [157000+148723] Arch-Princess (13.329) [157000+147692] Elsa (13.37) [157000+148597] Tamara (13.37) [157000+148437] Richard (13.36) [157000+148575] Geraldt (13.35) [1570oO+ 148l44] Reg ( 13.34 ) [ 157oOo + 148256 ] Arthur ( 13.33 ) [ 157oOo + 148659 ] Papyrus ( 13.27 ) [ 157oOo + 14869 ] Arthur ( 13.24 ) [ 157oOo + 148lO9 ] Peter ( 13.24 ) [ 157oOo + 14869 ] Chu ( 13. 17 ) [ 157oOoo + 14785 ] Marie ( 13. 08 ) [ 157oOoo + 148659 ] Anna ( 13. 08 ) [ 157oOoo + 148659 ] Paul ( 13. 07 ) [ 157oOoo + 148657 ] Magdalene ( 13. 07 ) [ 157oOoo + 14778O ] Geraldt ( 13. 07 ) [ 157oOoo + 14778O ] Olaf ( 13. 06 ) [ 157oOoo + 148255 ] Reg (  ① ) [ ③ . ⑤ ] [ ③ . ⑥ ] [ ③ . ⑦ ] [ ③ . ⑧ ] [ ③ . ⑨ ]
and occasionally some of our recommendations may have changed. With that said, if you choose to buy something using the retail links included in this post, Aldtica may earn a small commission. However, all of our product reviews are written by independent experts with no relevant agenda to consideration.<endoftext>"This is about the people," said lead attorney Steven Holstein, a Philadelphia lawyer who represented the company targeted by the state robbery task force in the case. "When some nut across the state has the ability to write a constitutional amendment and rewrite a constitutional amendment in a way that makes it antithetical to the state of Pennsylvania, and say they are against it ... then it doesn't really matter what the people of Pennsylvania want."<endoftext>|Police officers were paid an extra £425 for each working hour in 2019, despite many of the people involved in the high-profile Windhouse scandal being involved in front-line duties, a service review has revealed.\nThe total pay paid in 2019 was a minimum of £42,487, while officers earned a maximum of £38,254 - with an average hourly pay increase of £2.46 per hour.\nThe salaries amount to an average hourly pay rise of more than £5 between June 2018 and June 2019.\nFinancing of officers' services rose by  $7\%$  in the past year over the previous year, the report by the Association of National Police Officers (ANPO) revealed. Investment in non-police trusts rose by  $17\%$  in the same period.\nANPO chief executive Brian Kirk said: "Police officers rightly want to be rewarded for their service, so they do not have to choose between keeping communities safe and delivering good policing.\n"This extra pay enables police officers to consider new career opportunities, provide support to those most in need and promote social inclusion."\nThe Scottish Government said in 2017 the police service had more than 23,000 officers, a third of whom were front-line.\nThe current pay structure was introduced in the late 1990s to compensate officers in frontline commands with high crime rates.\nScottish Labour Shadow Justice secretary Michael Russell said the fact officers were getting paid adequately showed "something urgently needs to be done".\nHe said: "It's completely bonkers that taxpayers would expect to cough up an extra £425 per hour for a police officer's shift, especially when frontline staff like health workers, social services, fire and ambulance continue to face regular annual cuts.\nI can hardly believe ministers continue to grant hugely lucrative contracts, while freezing its core wages, to a health service which is already struggling as a result of huge budget cuts, and which the SNP has consistently opened up as a no-go
zone over the last four years.\n\nWhy have ministers allowed higher officer salaries in the police while they have delivered a decade of devastating budget cuts to the NHS?\n\Scottish Liberal Democrat leader Willie Rennie said: "It is notable that there has been a significant improvement to current pay arrangements in relation to cover officer roles.\nHowever, any rise in pay for the workforce would also need to be brought in line with the huge cuts we have already seen in frontline services.\nThe Scottish Government showed how they last week awarded zero-cost contracts for labour companies without even looking at what the work cost, and the clear message is that they are keen on making frontline organisations look more modest rather than worrying about budget cuts.\nThere will be more of the usual bonuses coming before the Government shows how finance and good colleagues will be putting a concerted effort together to find some resources to offset some of these increased costs, instead of deciding the way to save the workforce is a cutters field."\nNiNicola Rowland, the general secretary of the RNU, said: "Front line firefighters and police officers are asked to endure some of the most distressing things on a daily basis."\nThe average police officer pay rose to £43,085 in 2019, after a two-year increase, the ANPO said.\nThe rise in law enforcement is seen to have been caused by an ageing population and the overseas population and the deepening of recent job cuts in the Scottish public sector.PASADENA, Calif. (KABC) -- A 17-month-old girl has been returned to the Potnona Police Department Monday afternoon. She was taken from a home in the 3400 block of Ponderosa Avenue near Fairfax Boulevard and Lelgar Street. Police say it is believed that the child, who is staying with her family, was taken from her home between July 20 to July 22. Forensic testing will likely be performed later this week.It was an odd fun fact that made many left-wing activists vehemently oppose the nomination of Brett Kavanaugh to the U.S. Supreme Court. On his yearbook page was a subtote entitled 'Don't Let Them F***** Your Body Forever," a reference to the oral contraception
] have the Senate convict a sitting president."\n\nimOn Wednesday, after the House Judiciary Committee drew up articles of impeachment, McConnell announced that "we have the votes to convict the president."n Trump also held a rally, in which he decried the process as "an illegal coup against me," and announced that he would "appeal." The rally seemed to show that the fight wasn't over. \nwatch: \nThis is not a tragedy," McConnell said in a statement at the time. "I am convinced, with every fiber of my being, that the President is innocent. Having solicited the articles of impeachment from the House, the Senate looks forward to hearing from House managers on the charges and then moving forward to presenting a case for trial by the full Senate."n Trump's GOP rivals and independent senators like Sen. Lisa Murkowski (R-AK) have publicly supported impeaching the president, while other GOP senators, like Sen. Susan Collins (R-ME) have openly said they could resign. nThe first major impeachment defection came on Sunday when longshot Rep. Justin Amash (R-MI) announced his intention to convict. In an email to his colleagues, Amash Jr., who criticized Trump's actions in the months leading to and through the impeachment, said he was voting to convict. \n"From where I sit, the evidence is overwhelming. As I am a member of the Judiciary and Intelligence Committees, I have a duty to the American people, as well as an obligation to my constituents and all who sent me to office, to vote convict," Amash said. nThe Barcelona Golf Course doesn't look like a golf course, but it is an oasis for gardening in this busy city. \nIt's a massive course spread over 120 acres with fairways that are split right down the middle, unlike the designs on most golf courses. The course enjoys the stunning view of the skyline above it. \nA giant oak tree almost 40 meters in diameter serves as one main highlight to the golf course's design. The course's 6,486 holes - some six times downhill - are a real treat for newbies and even seasoned golfers. \nArcadia for 120 acres was built around Gillet Park Golf Club, an exclusive private mixed-use development. Vergara Andrea's team served as the architect for the golf course, with the course designed by 110 Architecture, the local firm working exclusively with Barca, the city's Professional Football club. nEven though Andrea's is the lead architect on the
project, the team was tasked with creating other lifelines around the course as well as the concrete facade. Aside from the course, Vergara and Andreana have been involved with at least 20 different, publicly developed projects in Barcelona.  $\backslash n\backslash n^{\prime \prime}$  Design has to be sustainable"  $\backslash n$  Vergara and Andreana became aware of the Barcelona Golf Course while participating in an environmental conference. They recalled being surprised by the site's design, which helped to heighten their enthusiasm for the project. "Because we are architects, architecture has to be sustainable, either low energy or low/zero carbon," Andreana says. "We also want challenges for new projects."  $\backslash n$  Vergara and Andreana started in landscape architecture in 1995. At the time, they were involved with relatively small projects located in the tourism sector. Elsewhere, Vergara and Andreana were searching for a community garden to allow families and people to experience the magic of nature exploration and gardening.  $\backslash n\backslash n^{\prime \prime}$  We are a architect's team and we want to improve the urban environment for our users," Andreana says.  $\backslash n$  The team began to look for a place to design a nine-hole golf course. In June 2013, they found a spare garden filled with lush grass located in a meadow.  $\backslash n\backslash nA$  great opportunity for diversification  $\backslash n$  Andrena's team researched other urban golf courses for the right location. In the end, Gillet Park Golf Club stood out as the best option. Although the natural gardens needed a restoration for their natural conservation, the size and location of the golf course offered a unique opportunity to beautify and reinvest in the urban environment.  $\backslash n\backslash n^{\prime \prime}$  Gillet Park Playground met all the criteria," Vergara and Andreana explain. "It's not very specific, suited the golf course, and had all the right vegetation."  $\backslash n$  Vergara and Andreana spent just nine months planting thousands of trees in the western corner of Gillet Park, in the neighborhood of Joan Mariscal. The new golf course is accessible on the area's busy streets with shops and restaurants, so the community can enjoy all the leisure activities in the green space.  $\backslash n$  The team uprooted the previously existing Perez Tree, to make room for the new trees to complement Gillet Park. It was a quick and convenient solution
\n\nAlexandra Firth reports on the association between higher rates of smoking in the adolescent stages and higher obesity in subsequent stages. Like Ridley, Whitfield concludes that this means "even if you're at the bottom you're one generation away from obesity".\nThis is certainly true, though there are two big problems with it. First, BAME adults tend to be smoking at much later ages than those in the adolescent stages, on average at a later age of 34. This means that there is a causal relationship between smoking and poverty that is not present when we control for poverty or look at controlled factors. The degree of economic segregation, or the factor that *controls* the wealth gap - household income according to dollar index - is not nearly as strongly correlated with elevated smoking rates among the lowest part of the income distribution (Harrison and Strauss-Daly, 2006, 48-49). A higher part of the income distribution tends to have higher smoking rates, so the level of cigarette consumption is in fact correlated with the degree of economic mobility (though it's important to note that it is higher status that has the higher rate of shoplifting). On the other hand, economic mobility does not seem to be correlated with the causal relationship between smoking in early adulthood and obesity in later adulthood. This means that being at the top of the income distribution does not necessarily give someone "higher" status, or more privileged.\nSecond, even if you control for socioeconomic status, people who are more likely to have higher rates of smoking in early adulthood tend to have to higher rates of obesity in later adulthood than those who are less economically privileged, and there's no way that one can infer "teens away" from this, seeing as there is no causal relationship between smoking and mobility, and no threshold beyond the top of the income scale that is exhibiting an upward trajectory.\nIt is certainly true that a greater proportion of BAME adolescents from families with lower incomes are on average less likely to smoke. Curiously, Whitfield doesn't mention that socioeconomic mobility differs significantly between different income groups, so this kind of relationship can't be replicated. There is no causal relation, but speaking, just because those at one top of the income scale are more likely to see their kids try cigarettes, does not mean an ongoing predisposition towards obesity (or even smoking).\nEven though it can't be proven, and just because it sure seems to incite a fairly clear upward trajectory of mobility for people at the top of the income distribution, Whitfield is basically saying people who have higher rates of adolescent smoking are poor, and not vice versa. This is another misinterpretation/misuse of statistics in public health, and a serious stretch for an economic science that is considered relatively bias-free by its supporters and anti-economists alike.\nTaking the long view: When statistical
models have (pertature) interpretations\n\nIn the same interview Whitfield also makes another somewhat questionable claim, regarding cigarette smoking and childhood obesity. After finding out that there is no significant causal relationship outside of the early stages with the level of smoking, he said:\nPeople are now wondering why you would try to avoid the early stages if there is so little causal connection. There is always going to be something in there about healthy early drinking and preventing an artificial transition.\nThe simple fact is that statistical models don't get to consider a person's personal interpretations. A model that shows there is no adverse relationship between smoking and obesity in the young stages does not come close to considering the personal call on the risk of smoking in the middle stages; if it is harmful for all, what is the benefit? To understand how interpretations like this are sometimes folded into public health policy I think it's helpful to understand the science. Statistical models do not allow people to tease different factors apart, with differentiated trade-offs. Instead, it requires that you take into account all of the factors, and come up with the best predicted outcome. Even if one of these models has conflicting statistical data, there is no concept of statistical meta-analysis as we have in the sciences.\nFor example, Whitfield still needs to ask:\n\nIf you want to use statistics to smooth out the science by ignoring personal interpretations only tells you that he thinks the personal interpretations are important to begin with. A lot more effort is taken by the personal interpretations than by statistical models, but that's why the interpretations are more valuable (to the public and policy makers). The general principle is the same: some probabilities exist in the real world, some interpretations are valuable, and members of the public can legitimately base their decisions on the personal interpretations; not the statistical models. We can try to avoid the rich(but the healthy may not be avoided, they just have more early
E.2 Prefix completion: "Generative models of text are very versatile: they can be used"
Generative models of text are very versatile: they can be used to write scripts, architectural descriptions, and even tackle tasks with long, seemingly unique documents, such as brainstorming sessions.\n\nA similar way of writing can be applied to nouns-heavy groups that are difficult to classify - and since generative writing offers less repetition, it also becomes faster.\n\nCategorizing common nouns\ncCandidates, can you describe these three plants?\n\nBanana\n\nCandereLLa\n\nRaspberries\n\nTypes of plants Munngenium, Burdum,
Generative models of text are very versatile: they can be used in an undamaged area or even in a mountainous terrain. While B-Type models of text are useful in every process used to use silicon and copper carbide in certain nature. G-Generative models are the thermal models of text which uses E-power. The G-models are highly useful in some environment type and they are available in market. E-Port models of text are the models of UAT text which can be perfectly easily extracted from the net. The E-Port is the UAT text that do not use a very energy-intensive process but
Generative models of text are very useful: they can be used to classify short sentences or free-form text, they can be used to understand meta-links, they can even be used to completely replace the manual search of the translation engines by automatically reading the entire documents and creating their own source tags, etc. Unlike dynamic models, the differential models of text do not require a lot of research and are easy to use. Whereas the predictive models are usually trained in an exhaustive way with limited training and modifications, the differential models can be easily automated, as the most popular models will try to identify the most often repeated places without
Generative models of text are very flexible: they can be used by anyone knowledgeable of a particular meaning and can keep evolving over time as everyone already superficially familiar with them is required to make the changes needed to create a new (negative) meaning. But the interpreted material's computational concepts must be accurately expressed in
the appropriate words to make sure the system they are being fed is able to properly conceptualize what they represent. Universal languages are often regarded as formal metaphors understood by machines. The additional challenge is posed by being able to recognize and translate between two completely distinct objects currently being represented. Computational methods to achieve this feat are
Generative models of text are very versatile: they can be used to create more complex effects like atmosphere or texture, where we would normally only use proxies. Historically, poly-responsive annotations have allowed us to create interactive content that extends the linear of an image to become semi-transparent, without interfering with the images' colours, shadows, etc. This animated image of a house shows how drastically the range of colours is removed from the points of reference in the scene. As shown above, this is the first AI font type to be supported by Autodesk Gradients. We have also recently begun producing annotations of
Associative models of text are very versatile: they can be used for various purposes. We have shown, for instance, that causality can be established by a concept of the causal power, that it is constituted in relation to the action of a material force, that its action can in turn give rise to another material force. But the concept of power depends in large measure on the concept of relation, and affirmative language depends not only on the concept of the internal and external action of the power; it also depends on the theory of the internal and external action of the other elements included in a relation. If the concept is true,
Illustrative models of text are very powerful: they can be used to create impressions, convey ideas, as well as show the material connections and logical consequences of linguistic statements. n\n\n2. Rich and colorful images are often used for generating impressions and building ideas about objects. Designers might want to build interest about their products by providing images that would set the mental concept of an object, and tap into their subconscious. \n\nIndeed, advertising is a brilliant model of persuasion through imitation. The first time we see an object that's been designed and manufactured in an advertising setting, we're introduced to all kinds of nonsense
Generative models of text are very versatile: they can be used as a data classification model and also incorporated into multiple data processing engines. \nIn this article, we present two new neural memory models capable of processing terabytes of data and the neural networks and computational techniques that are used in those models. Further, we discuss the drawbacks of the machine learning approach on which these neural memory models have been trained and discuss the complexity and possible potential for practical use. \nIntroduction\ nToday, processing large-scale data is done using neural networks. The most widely used models are recurrent neural networks, which use training data and
E.3 Infilling: "A year ago in Paris, [...] Wow, what a great day!"
A year ago in Paris, I also met up with Ubisoft's very own Michael Abrash, helped test the next prototype of Loreseker's dialogue, and helped bring the innovative Frostbite mechanic into the real world. Wow, what a great day! \nAs a gamer, one of the most fascinating things about making open-world games is the way players experience and react to the whole thing. When an open world is a procedural sandbox, everything you do while in the world, even those that seem like a small gesture at the time, have an impact. You can make choices that you wouldn't have on
A year ago in Paris, Catalonia, Spain, televised live live at 7pm PST/4pm EST. And if you haven't already, you can catch up with all of the online performances at this very moment right here. Wow, what a great day!n\nSongs: School of Dance & Speech at the Barcelona Perform Centre, Hope, Heathcote, Cadenka, Hirera & Hippocrates, Quinta Ad Astra Placeva, Divas in Motion, Figaro Romero, Spotify, Mascits or Prenque, Soul Coffee, Pushwheel Project\nLater on