Videos de large language model
Videos etiquetados con "large language model"
large language model 6 videos
Google Gemini 3.5 Pro Explained | 2M Tokens, Deep Think & GPT-6 Comparison
Link to our newsletter: https://bitbiased.ai/ Google's Gemini 3.5 Pro is rumored to launch with a massive 2 million token context window, a new Deep Think reasoning mode, and significantly cheaper API pricing. But are these leaks actually as groundbreaking as everyone claims? In this video, we break down: ✅ Gemini 3.5 Pro leaks explained ✅ 2 Million Token Context Window ✅ Deep Think reasoning mode ✅ API pricing and why it matters ✅ Gemini 3.5 Pro vs GPT-6 ✅ Gemini 3.5 Pro vs Claude Fable 5.1 ✅ Google AI strategy in 2026 ✅ What actually deserves the hype Instead of repeating AI rumors, this video separates confirmed information from speculation and explains what Google's strategy could mean for developers, businesses, and AI enthusiasts. If you're following GPT-6, OpenAI, Google DeepMind, Anthropic, Claude, or the future of generative AI, this video is for you. Timestamps 00:00 Introduction 01:23 What's Actually Being Claimed 02:48 The Two Million Tokens Everyone's Chasing 04:54 The Price Is The Real Story 06:55 Deep Think & The Paywall 08:37 Gemini 3.5 Pro vs GPT-6 & Claude Fable 5.1 10:43 What Would Actually Earn The Hype 12:21 Final Thoughts Subscribe for weekly AI news, model comparisons, benchmark analysis, and practical insights. #Gemini35Pro #googleai #gpt6 #openai #artificialintelligence #deepthinking #ai #claude #googledeepmind #machinelearning
What Is a Large Language Model? (LLMs Explained From Zero)
Try it yourself — the full written explainer and an interactive next-word predictor are here: https://unrote.com/ai/what-is-an-llm/ A large language model sounds mysterious, but underneath it's one simple idea: a giant math function that, given some text, predicts the most likely next chunk of text — then feeds its own guess back in and does it again. That loop, repeated, is the whole engine. This is a build-from-zero explainer. No jargon assumed. We start with the autocomplete on your phone, watch a model generate a sentence one word at a time with real probabilities, and end up understanding why it can sound brilliant and still be confidently wrong. What we cover: - Why an LLM is really just autocomplete, scaled up enormously - Predict, append, repeat — how it writes one token at a time - Why it works in tokens (chunks), not whole words - Where the skill comes from: training on a huge pile of text - Why "Large" matters — billions of parameters - Why it doesn't actually "know" anything, and why that causes hallucinations - Why doing one simple thing well, at scale, ends up looking like intelligence Chapters: 0:00 What a large language model is 0:26 The whole thing in one sentence 0:44 Read the name backwards: L, L, M 1:03 It's autocomplete you already use 1:42 Watch it predict, word by word 2:36 It works in tokens, not words 2:59 Where the skill comes from: training 3:45 Why "Large" matters 4:10 It doesn't know — it predicts 4:33 So why does it feel intelligent? 4:58 Where this goes next 5:21 Recap This is the first video in an AI series on Unrote — modern AI explained from zero, one idea per page. Up next: What Are Tokens? Unrote. Understand it, don't memorize it.
How LLMs Actually Generate Text (Every Dev Needs to See This)
Every day, millions of people use ChatGPT, Claude, and Grok—but very few understand what is actually happening behind the blinking cursor. Did you know the model has no idea what it's going to say next? In this video, we break down the exact 5-step process of how Large Language Models (LLMs) generate text, from the moment you hit "send" to the final output. We move past the magic and dive into the mechanism so you can become a better AI builder. You’ll learn exactly how AI reads text, how it understands context, and why "hallucinations" actually happen. 👇 What You Will Learn (Chapters): 0:00 - The Illusion of AI (No Hidden Script) 0:28 - The 5 Steps of LLM Text Generation 0:54 - Step 1: Tokenization (How Models Read) 1:56 - Step 2: Embeddings (Mapping Meaning & Context) 3:11 - Step 3: Transformers & The Attention Mechanism 4:40 - Step 4: Probabilities (Logits & Softmax) 5:40 - Step 5: Sampling (Greedy Decoding, Temperature & Top-P) 6:52 - Autoregressive Generation (The Loop) 7:50 - Why AI Hallucinates (Mechanism, Not Magic) 8:50 - Summary: Becoming an AI Builder If you want to understand the architecture of modern AI, hit the LIKE button and SUBSCRIBE for more deep dives into machine learning and software engineering. #ChatGPT #LLM #MachineLearning #ArtificialIntelligence #Transformers #OpenAI #TechEducation #LLM #HowAIWorks #ChatGPT #MachineLearning #ArtificialIntelligence #NeuralNetworks #Transformers #TechExplained #Programming #OpenAI #Claude 🏷️Keywords ChatGPT, OpenAI, Large Language Models, LLM, Claude, Grok, Artificial Intelligence, AI explained, Machine Learning, Neural Networks, Deep Learning, Generative AI, generative text, Specific & Technical Tags: Tokenization, AI tokens explained, Word embeddings, Transformer model explained, Attention mechanism AI, Self attention, Softmax function, AI logits, Top-p sampling, Nucleus sampling, AI Temperature setting, Greedy decoding, Autoregressive models, Llama 3, GPT-4, Long-Tail/Search Query Tags: How does ChatGPT work, How large language models work, What is a token in AI, Transformer neural network explained simply, How AI generates text, Why does AI hallucinate, ChatGPT temperature explained, How to write better AI prompts, Mechanism not magic, Learn AI for beginners, How to build with LLMs, AI context window explained,
Como o "cérebro" da IA funciona? #inteligenciaartificial #chatgpt #openai
Como a IA moderna funciona? Uma rede neural artificial é um modelo matemático inspirado no funcionamento do cérebro humano. Essa é uma das bases tecnológicas de sistemas modernos de IA, incluindo LLMs como o ChatGPT. #largelanguagemodels #ia #neuralnetworks
Você NÃO entende de IA: vou te mostrar por quê
O que é a inteligência artificial? ChatGPT, Claude, Gemini? Neste vídeo, eu mostro o que essas ferramentas de IA conseguem fazer atualmente na geração de vídeos, músicas, softwares e muito mais. Em seguida, mergulho em um conceito base da IA atual: redes neurais artificiais. Por fim, explico a mecânica de funcionamento de um “large language model” (LLM), ou modelo de linguagem, que é a tecnologia por trás de todos os sistemas modernos de inteligência artificial. Sei que o assunto tá super hypado (ou até saturado), mas acho que hoje é impossível não falar de IA na área de tecnologia. Para o bem e para o mal, essa tecnologia está aí. Tentando entender a fundo como a IA funciona, tive uma sensação de “quebrar a magia”, mas senti também que isso me trouxe tranquilidade no meio de tanto FOMO e medo do desconhecido que esse tema traz junto. 🔗 Plugin para Claude Code citado no vídeo: https://github.com/oprogramadorreal/optimus-claude ⏱️ Capítulos: Eu tô cansado do sensacionalismo! (RANT) - 0:00 O Fim dos Programadores - 1:01 Por que (ainda) precisamos de programadores? - 2:21 O que a IA já consegue fazer - 3:42 O que eu realmente sinto - 4:23 Redes neurais artificiais - 5:54 Large Language Models - 9:05 Próximos passos - 13:12 AI bloopers - 14:32 #InteligenciaArtificial #RedesNeurais #LLM
¿Qué es un LLM? Enormes Modelos del Lenguaje | Large Language Models
Vídeo patrocinado por la Universitat Politècnica de València: https://www.upv.es Grados y posgrados UPV para un talento sin límites: https://upvxxl.es Esto es ha sucedido en los últimos años cuando entrenado a IAs cada vez más grandes, como GPT-3 o PaLM. Enormes Modelos del Lenguaje que agregan en su interior una gran fuente de información y capacidades aprendidas de forma no explícita, que están sirviendo de camino hacia Inteligencias Artificiales más generales. En el vídeo de hoy os explicaré esta impresionante historia de IAs cada vez más grandes e inteligentes. --- ¡MÁS DOTCSV! ---- 📣 NotCSV - ¡Canal Secundario! https://www.youtube.com/c/notcsv 💸 Patreon : https://www.patreon.com/dotcsv 👓 Facebook : https://www.facebook.com/AI.dotCSV/ 👾 Twitch!!! : https://www.twitch.tv/dotcsv 🐥 Twitter : https://twitter.com/dotCSV 📸 Instagram : https://www.instagram.com/dotcsv/ -- ¡MÁS CIENCIA! --- 🔬 Este canal forma parte de la red de divulgación de SCENIO. Si quieres conocer otros fantásticos proyectos de divulgación entra aquí: http://scenio.es/colaboradores