Conversational agents are designed to understand dialogs and generate meaningful responses to communicate with humans. After the popularity of ChatGPT, with its surprising performance and powerful conversational ability, commercial Large Language Models (LLMs) for general NLP tasks such as GPT-4 [1], etc., sprung up and brought the generative AI as a solution to the public view. These LLMs work quite well in content generation tasks, but their deficiency in fact-and-knowledge-oriented tasks is wellestablished by now [13]. These models themselves cannot tell whether the text they generate is based on facts or made-up stories, and they cannot always follow the given data and rules strictly and sometimes even modify the data at will, also called hallucination. The reasoning that these LLMs appear to perform is also at a very shallow level.

One late-January day, the director Lila Neugebauer was at a gun range--or an antiseptic, fluorescent-white version of one--tucked inside the Specialists, Ltd., a theatrical-props behemoth in Ridgewood, Queens. Neugebauer, accompanied by two members of her team, had come to discuss a gun for her upcoming production of Anton Chekhov's "Uncle Vanya," at Lincoln Center Theatre. The production is a starry one, with Steve Carell in the title role, alongside Alfred Molina, Alison Pill, Anika Noni Rose, and William Jackson Harper. With a new translation by the playwright Heidi Schreck--who was nominated for a Tony for her women's-rights jeremiad "What the Constitution Means to Me"--this is the first Broadway staging of Chekhov's masterpiece in more than twenty years. Neugebauer is small and quick, with flyaway black hair, straight black brows crossing a narrow face, and intent gray-green-golden eyes, like a fox's.

While large language models (LLMs) have achieved impressive performance across diverse tasks, recent studies showcase that causal LLMs suffer from the "reversal curse". It is a typical example that the model knows "A's father is B", but is unable to reason "B's child is A". This limitation poses a challenge to the advancement of artificial general intelligence (AGI), as it suggests a gap in the models' ability to comprehend and apply bidirectional reasoning. In this paper, we first conduct substantial evaluation and identify that the root cause of the reversal curse lies in the different word order between the training and inference stage, namely, the poor ability of causal language models to predict antecedent words within the training data. Accordingly, permutation on the training data is considered as a potential solution, since this can make the model predict antecedent words or tokens. However, previous permutation methods may disrupt complete phrases or entities, thereby posing challenges for the model to comprehend and learn from training data. To address this issue, we propose Semantic-aware Permutation Training (SPT), which addresses this issue by segmenting the training sentences into semantic units (i.e., entities or phrases) with an assistant language model and permuting these units before feeding into the model. Extensive experiments demonstrate that SPT effectively mitigates the reversal curse since the performance on reversed questions approximates that on the forward ones, and significantly advances the performance of existing works.

Generated an AI image, it's close but not quite what you want? In this article, I will teach you a few simple prompting techniques to let you dial-in the details of your images. We will use this Stable Diffusion GUI for this tutorial. See my quick start guide for setting up in Google's cloud server. Note that many of the techniques outlined in this article only works on this software.

Facebook has developed software to make people invisible to facial recognition technology. Its'de-identification' program is intended to protect people from'deepfake' style videos in which their faces can be edited onto videos of other people. These convincing clips are becoming so advanced it can be difficult to tell which videos are real and which ones are fake. And there are concerns that, in future, people will be able to make footage of others doing or saying things that they never actually did. But Facebook AI Research now says it has a way of fooling the artificial intelligence used to make these videos while still keeping the original video lifelike.

The film world is full of intriguing what-ifs. Will Smith famously turned down the role of Neo in The Matrix. Nicolas Cage was cast as the lead in Tim Burton's Superman Lives, but he only had time to try on the costume before the film was canned. Actors and directors are forever glancing off projects that never get made or that get made by someone else, and fans are left wondering what might have been. For the people who make money from movies, that isn't good enough.

This is a video created using a deep-learning artificial intelligence program that placed Steve Buscemi's face on Jennifer Lawrence's head and body while she was speaking at the 2016 Golden Globe awards. So, if you were wondering if we've gone too far the answer is yes -- we're already over the edge of the cliff like Wyle E. Coyote and just haven't realized it yet. The moment we look down it's all over. Keep going for the video. Thanks to Allyson S, who agrees there are some things best left unseen.

An unnerving new video that appears to show Steve Buscemi's face seamlessly molded onto Jennifer Lawrence's head is yet another example of the worrying advancements of'deepfakes' videos. The clip will sound familiar to anyone who remembers Lawrence's speech backstage at the 2016 Golden Globes – but the words are instead coming out of Buscemi's mouth. Horrified social media viewers have been have been sharing the clip of'Jennifer Buscemi' across the internet this week, with many calling it the stuff of nightmares. An unnerving new video appears to show Steve Buscemi's face seamlessly molded onto Jennifer Lawrence's body The clip was first posted by Reddit user VillainGuy at the beginning of January. It's since been shared thousands of times.

The man who hacked into hundreds of iCloud accounts of Hollywood stars and others before leaking their nude photos across the internet has been sentenced. Connecticut man George Garafano became infamous when he stole private photos from people including Jennifer Lawrence and made them available across the internet. He was sentenced to eight months in prison this week, in federal court in Bridgeport. After prison, he must serve three years of supervised release and perform 60 hours of community service. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph.

Jennifer Lawrence, director Darren Aronofsky split After Charlie Rose accusations, Seth Meyers says it's time to retire the bathrobe Nick Carter, accused of rape by Dream singer Melissa Schuman, is'shocked and saddened' Russell Simmons' accuser tells Megyn Kelly: 'There was no dispute about what happened' David Cassidy remembered: Who'did not want to look like, sound like, just be him?' After Charlie Rose accusations, Seth Meyers says it's time to retire the bathrobe Nick Carter, accused of rape by Dream singer Melissa Schuman, is'shocked and saddened' Russell Simmons' accuser tells Megyn Kelly: 'There was no dispute about what happened' David Cassidy remembered: Who'did not want to look like, sound like, just be him?' 'Mystery Science Theater 3000' will return to Netflix for season 12 Fans of wisecracking robots and terrible science fiction flicks, rejoice: "Mystery Science Theater 3000" will return for a new season on Netflix. The news of the 12th season was announced at the end of the annual "MST3K" Thanksgiving marathon hosted by Jonah Ray, Felicia Day and Joel Hodgson. The reveal didn't include a premiere date, but the corresponding news release promised the new season would drop in the "not-too-distant-future." Factory) launched a Kickstarter in hopes of resurrecting the scrappy series, which aired from 1988 to 1999. The crowdfunded operation was a success and brought in more than $5 million for a brand new Satellite of Love, the spaceship in which Joel and his pals reside.