ChatGPT: Yes-Man atau Analisis Kritis?
1:48
ChatGPT: Yes-Man atau Analisis Kritis?
113.8K views11 months ago
TikTokregrezan
Google finally claps back to OpenAI dominating the market with a seemingly incredible all-in-one model named Gemini. The middle tier of this model is live on Bard right now, the ultra version to topple gpt 4 is coming next year after more RLHF. #technology #techtok #ai #artificialintelligence #openai #gpt #gpt3 #aitools #aibusiness #chatgpt #chatgpt3 #google #bard #machinelearning #gpt4 #googlebard #bardai #multimodal
3:34
Google finally claps back to OpenAI dominating the market with a seemingly incredible all-in-one model named Gemini. The middle tier of this model is live on Bard right now, the ultra version to topple gpt 4 is coming next year after more RLHF. #technology #techtok #ai #artificialintelligence #openai #gpt #gpt3 #aitools #aibusiness #chatgpt #chatgpt3 #google #bard #machinelearning #gpt4 #googlebard #bardai #multimodal
20K viewsDec 6, 2023
TikToktimcarambat
How AI models are really trained: RLHF
1:43
How AI models are really trained: RLHF
1.3K views1 month ago
YouTubeGarrit Wilson
How does ChatGPT technically work? When receiving user input, it undergoes preprocessing and tokenization to convert text into a machine-readable format. These tokens are then embedded into vectors and processed by the transformer neural network, which uses mechanisms to understand contextual nuances. With ChatGPT, a large aspect of its functionality is Reinforcement Learning from Human Feedback (RLHF), where it's fine-tuned with human input to ensure the responses are not only contextually appr
1:59
How does ChatGPT technically work? When receiving user input, it undergoes preprocessing and tokenization to convert text into a machine-readable format. These tokens are then embedded into vectors and processed by the transformer neural network, which uses mechanisms to understand contextual nuances. With ChatGPT, a large aspect of its functionality is Reinforcement Learning from Human Feedback (RLHF), where it's fine-tuned with human input to ensure the responses are not only contextually appr
16.8K viewsJan 27, 2024
TikToktiffintech
This lecture provides a concise overview of building a ChatGPT-like model, covering both pretraining (language modeling) and post-training (SFT/RLHF). For each component, it explores common practices in data collection, algorithms, and evaluation methods. This guest lecture was delivered by Yann Dubois in Stanford’s CS229: Machine Learning course, in Summer 2024. #DevLife #WebDev #CodingTeam #StartupLife
0:06
This lecture provides a concise overview of building a ChatGPT-like model, covering both pretraining (language modeling) and post-training (SFT/RLHF). For each component, it explores common practices in data collection, algorithms, and evaluation methods. This guest lecture was delivered by Yann Dubois in Stanford’s CS229: Machine Learning course, in Summer 2024. #DevLife #WebDev #CodingTeam #StartupLife
6.4K viewsMay 24, 2025
TikTokai_devbytes
How AI Actually Learns From Human Feedback (RLHF Explained) #Shorts
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How AI Actually Learns From Human Feedback (RLHF Explained) #Shorts
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0:59
Que es el Reinforcement Learning From Human Feedback o RLHF es la forma actual en la que muchas empresas estan alineando sus modelos de inteligencia artificial para que estos puedan dar respuestas utiles y que no den informacion perjudicial #rlhf #openai #machinelearning #deeplearning #ai #inteligenciaartificial
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TikTokfazttech
1:08
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TikTokstockcurious
0:53
Ep. 17 RLHF #artificialintelligence #machinelearning #educational
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TikTokpapertrailai
4:48
Deep dive on how to improve large language models. I provide an introduction to zero-shot and few-shot learning methods. I also discuss the role of in-context learning and emergence. For fine-tuning, the video explains instruction tuning, reinforcement learning with human feedback (rlhf), reinforcement learning with AI feedback (rlaif, and parameter efficient fine tuning (peft). I will also have a larger version of this video on my youtube, where it's easier to see the slides. #datascience #mach
8.4K viewsApr 28, 2023
TikTokrajistics
2:11
¿La Tierra es plana o redonda? 🌍 Si entrenas una IA con ambas… ¡puede responder cualquiera de las dos! 4 técnicas para reducir los sesgos: 1️⃣ Ponderar fuentes (Wikipedia > Reddit) 2️⃣ Guardarraíles (filtros de seguridad) 3️⃣ RLHF (personas que califican respuestas) 4️⃣ Datos sintéticos (contenido “de confianza” generado por IA) 💡 Aun así, los sesgos no desaparecen. Por eso necesitas entenderlos para usar bien la IA. 👉 Dime en comentarios: ¿Qué respuesta rara te ha dado una IA? #IA #Artificia
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TikTokfer.pilot
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YouTubeCode With Shukla Ji
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0:35
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ChatGPT: Yes-Man atau Analisis Kritis?
113.8K views11 months ago
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Google finally claps back to OpenAI dominating the market with a seemingly incredible all
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