Видео ютуба по тегу Decoding Methods For Text Generation

Min-p sampling: A decoding method for creative and coherent AI text generation
Min-p sampling: A decoding method for creative and coherent AI text generation
Greedy? Min-p? Beam Search? How LLMs Actually Pick Words – Decoding Strategies Explained
Greedy? Min-p? Beam Search? How LLMs Actually Pick Words – Decoding Strategies Explained
🎲 Decoding Strategies to Control Randomness – Live Coding with Sebastian Raschka (Chapter 5.3)
🎲 Decoding Strategies to Control Randomness – Live Coding with Sebastian Raschka (Chapter 5.3)
Accelerating Diffusion LLMs via Adaptive Parallel Decoding
Accelerating Diffusion LLMs via Adaptive Parallel Decoding
LLM Decoding Strategies Explained!
LLM Decoding Strategies Explained!
GenAI: LLM Decoding Strategies Explained | Greedy, Beam, Top-k, Top-p, Temperature, Contrastive
GenAI: LLM Decoding Strategies Explained | Greedy, Beam, Top-k, Top-p, Temperature, Contrastive
Decoding Strategies (part 2) | Transformers and Stable Diffusion | Lesson 5
Decoding Strategies (part 2) | Transformers and Stable Diffusion | Lesson 5
Decoding Strategies (part 1) | Transformers and Stable Diffusion | Lesson 4
Decoding Strategies (part 1) | Transformers and Stable Diffusion | Lesson 4
Decoding Strategies in Text Generation Explained | How LLMs Like ChatGPT Generate Text!
Decoding Strategies in Text Generation Explained | How LLMs Like ChatGPT Generate Text!
Hands-On LLM Decoding
Hands-On LLM Decoding
AI Text Generation Clearly Explained!
AI Text Generation Clearly Explained!
Decoding: From Logits to the Next Token
Decoding: From Logits to the Next Token
Unlocking Anticipatory Text Generation: A Constrained Approach for Decoding with Language Models
Unlocking Anticipatory Text Generation: A Constrained Approach for Decoding with Language Models
[short] Unlocking Anticipatory Text Generation: Approach for Decoding with Language Models
[short] Unlocking Anticipatory Text Generation: Approach for Decoding with Language Models
Basics of Autoregressive Text Generation and Token Sampling
Basics of Autoregressive Text Generation and Token Sampling
The Curious Case of Neural Text Degeneration Summary English
The Curious Case of Neural Text Degeneration Summary English
Contrastive Inference Methods
Contrastive Inference Methods
Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model
Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model
[full] Contrastive Decoding Improves Reasoning in Large Language Models
[full] Contrastive Decoding Improves Reasoning in Large Language Models
ML Study Group at Apple:
ML Study Group at Apple: "Decoding Methods for Language Generation"
UMass CS685 S23 (Advanced NLP) #10: Decoding from language models
UMass CS685 S23 (Advanced NLP) #10: Decoding from language models
Decoding strategies while generating text with GPT-2 | NLP | Data Science | Machine Learning
Decoding strategies while generating text with GPT-2 | NLP | Data Science | Machine Learning
Typical Decoding for Natural Language Generation (Get more human-like outputs from language models!)
Typical Decoding for Natural Language Generation (Get more human-like outputs from language models!)
GPT-neo-1.3B + longer Text Generation w/ GRADIO on COLAB: Data Science App for AI text
GPT-neo-1.3B + longer Text Generation w/ GRADIO on COLAB: Data Science App for AI text
A Plug-and-Play Method for Controlled Text Generation [EMNLP 2021]
A Plug-and-Play Method for Controlled Text Generation [EMNLP 2021]