DarkKingdom

we will feature our selections of the finest new web series that were launched in the first two months of 2024, helping you identify the best current entertaining shows. These listed shows are among the best new shows on HBO Max, Amazon Prime Video, Apple TV Plus, Netflix, Hulu, and other platforms, and you should consider adding them to your next watch list. From wild ninja dramas to epic fantasy adventures to comedies, we've put together a list of ten binge-worthy titles that you should not miss. And these selections cover multiple genres, from action to sci-fi to fantasy to thrillers, so there's something for every viewer's taste. Additionally, let us know in the comments area how many new shows you watched in 2024 and which one you liked most. If you liked this ranking of the top ten new web series that premiered in 2024, you can also subscribe to our channel so that you can see more videos about our top ten new movies and web series.

the #Top10 Scary Simpsons Predictions For 2024. As we step into the year 2024, the uncanny ability of The Simpsons to seemingly predict future events continues to captivate audiences worldwide. The iconic animated series, created by Matt Groening, has gained a reputation for its eerily accurate foresight, having depicted numerous real-world occurrences long before they unfolded. As we delve into the latest season of The Simpsons, anticipation runs high among fans, eager to uncover what satirical crystal ball the show may hold for the events and trends that await us in 2024. In a world where reality often mirrors the cartoonish scenarios depicted in Springfield, the anticipation is not just for laughs but also for the intriguing possibility that the show might once again provide a glimpse into the future.

For the Middle East debut of UNTOLD — Dubai’s first mega festival — in February 2024, Armin van Buuren joined forces with the leading festival to perform atop the majestic Burj Khalifa to break two world records: the highest performance atop the tallest building on the planet and the largest LED screen employed for a show.

People of Tomorrow, you have come from far and wide to unite at Tomorrowland Winter. Take a moment and fill your hearts with wonder and joy. May our paths cross once more, and our friendship never end. Tracklist: 1. Tony Romera – Le Monde de Demain (Tomorrowland Music) 2. BLR, anamē, Robbie Rise – Influencer (Anjunabeats) 3. Kölsch, Tim Engelhardt – Full Circle Moment (IPSO) 4. Amand, Capoon – Ouverture 5. Supermode – Tell Me Why (Maddix Remix) (Axtone) 6. Cesqeaux, AFROJACK presents NLW, Kalibwoy – Danger (Wall Recordings) 7. AN21, Silhouette, Kuaigon – Love’s Not Over (SIZE Records) 8. Martin Garrix & Sentinel feat. Bonn - Hurricane

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here is the lyrics video for ignite. enjoy! LYRICS: [Verse 1 – Julie Bergan]: Fireflies A million little pieces Feeds the dying light And breathes me back to life In your eyes I see something to believe in Your hands are like a flame It brings the sweetest pain (your palms, the sweetest pain) [Chorus – Julie Bergan]: Let the darkness lead us into the light Let our dreams get lost, feel the temperature rise Baby tell me one more beautiful lie One touch and I ignite Like a starship speeding into the night You and I get lost in the infinite lights Baby tell me one more beautiful lie One touch and I ignite [x3] [Verse 2 – Julie Bergan]: So alive Your touch is like the daylight Burning on my skin It turns me on again You and I Survivors of the same kind And we’re the only ones Dancing on the sun [Chorus – Julie Bergan]: Let the darkness lead us into the light Let our dreams get lost, feel the temperature rise Baby tell me one more beautiful lie One touch and I ignite You’re the demon in my mind Like a fever, feels so right Baby tell me one more beautiful lie One touch and I ignite [x3] [Bridge - Seungri]: Diamonds are forever, but all we need is just tonight We’re monumental tremors that can freeze the speed of life Just like particles that's falling from heaven all over the stars Hear you calling for me Hear you calling me on from afar [Chorus – Julie Bergan]: Let the darkness lead us into the light Let our dreams get lost, feel the temperature rise Baby tell me one more beautiful lie One touch and I ignite I feel the heat as we collide Like a fever that feels so right Baby tell me one more beautiful lie One touch and I ignite [x6]

keeping the sunny vibes

live you dreams

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Money. How does that word make you feel? Is it a rush of adrenaline, dollar signs running through your head like a slot machine? Perhaps you feel motivated, ready to send those work emails you’ve been putting off, or spend an extra hour writing that movie script that you’re certain will be a hit. But maybe you don’t feel so good when you hear that word. Maybe the mere mention of money causes your hands to go clammy, your heart rate to rise and your brain to start doing somersaults around all the ways in which you don’t have, need more, want more, money.

CHAPTERS: 0:00 What is ChatGPT? 1:33 Magellan offer 2:31 How ChatGPT differs from Google 4:26 Overview of how ChatGPT works 7:07 Simple example of what happens behind the scenes 9:45 Beyond sentence completion 10:21 Three stages of pre-training process 13:24 The huge dataset used SUMMARY ChatGPT is an intelligent chatbot that uses natural language processing. The GPT stands for Generative Pre-trained Transformer, which means it generates responses, it is pre-trained by humans, and it transforms input data into an output. This model was created by an artificial intelligence research company called OpenAI. ChatGPT's power is the ability to interpret the context and meaning of a query and produce a relevant answer in grammatically correct and natural language, based on the information that it has been trained on. It uses neural networking, with supervised learning and reinforcement learning, two key components of modern machine learning. What it does fundamentally is predict what words, phrases and sentences are likely to be associated with the input made. It then chooses the words and sentences that it deems most likely to be associated with the input. So it attempts to understand your prompt and then output words and sentences that it predicts will best answer your question, based on the data it was trained on. It also randomizes some outputs so that the answers you get for the same input, will often be different. How ChatGPT fundamentally works, is that it tries to determine what words would most likely be expected after having learned how your input compares to words written on billions of webpages, books, and other data that it has been trained on. But it’s not like the predictive text on your phone that’s just guessing what the word will be based on the letters it sees. ChatGPT attempts to create fully coherent sentences as a response to any input. And it doesn’t just stop at the sentence level. It’s generating sentences and even paragraphs that could follow your input. If you ask it complete this sentence, “Quantum mechanics is…” -- The processing that happens behind the scenes goes something like this: It calculates from all the instances of this text, what word comes next, and at what fraction of the time. It doesn’t look literally at text, but it looks for matches in context and meaning. The end result is that it produces a ranked list of words that might follow, together with their “probabilities.” So it’s calculations might produce something like this for the next word that would follow after the word “is”: a 4.5% based 3.8% fundamentally 3.5% described 3.2% many 0.7% It chooses the next word based on this tanking. But the sentence completion model is not enough, because you might ask it to do something where that strategy might not be appropriate. In the first stage of the training process, Human contractors play the role of both a user and the ideal chatbot. Each training consists of a conversation with the goal of training the model to have human-like conversations. Through this supervised human-taught process, it learns to come up with an output that is more than just sentence completion. It learns patterns about the context and meaning of various inputs so that it can respond appropriately. But human training has scale limitations. Human trainers could not possibly anticipate all the questions that could ever be asked. For this it uses a third step which is called reinforcement learning. This is a type of unsupervised learning. This process trains the model where no specific output is associated with any given input. Instead the model is trained to learn the underlying context and patterns in the input data based on its earlier human-taught pretraining. #chatgpt This way the model can process a huge amount of data from various sources, and learn the patterns from texts and sentences of a near limitless number of subjects. The dataset used to train ChatGPT which is based on GPT-3.5 is about 45 terabytes of data.

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