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Build a Reasoning Model (From Scratch), Video Edition

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001. Chapter 1 Understanding reasoning models.en.srt	SRT	11 KB
001. Chapter 1 Understanding reasoning models.mp4	MP4	26.5 MB
002. Chapter 1 Understanding the standard LLM training pipeline.en.srt	SRT	7.3 KB
002. Chapter 1 Understanding the standard LLM training pipeline.mp4	MP4	22.6 MB
003. Chapter 1 Improving LLM reasoning with training and inference techniques.en.srt	SRT	6.8 KB
003. Chapter 1 Improving LLM reasoning with training and inference techniques.mp4	MP4	26.4 MB
004. Chapter 1 Pattern matching vs logical reasoning.en.srt	SRT	5.6 KB
004. Chapter 1 Pattern matching vs logical reasoning.mp4	MP4	15.2 MB
005. Chapter 1 Simulating reasoning without explicit rules.en.srt	SRT	7.1 KB
005. Chapter 1 Simulating reasoning without explicit rules.mp4	MP4	21.7 MB
006. Chapter 1 Why build reasoning models from scratch.en.srt	SRT	5.9 KB
006. Chapter 1 Why build reasoning models from scratch.mp4	MP4	15.5 MB
007. Chapter 1 A road map to building reasoning models from scratch.en.srt	SRT	2.9 KB
007. Chapter 1 A road map to building reasoning models from scratch.mp4	MP4	8.5 MB
008. Chapter 1 Summary.en.srt	SRT	1.9 KB
008. Chapter 1 Summary.mp4	MP4	4.7 MB
009. Chapter 2 Generating text with a pretrained LLM.en.srt	SRT	4.3 KB
009. Chapter 2 Generating text with a pretrained LLM.mp4	MP4	13.4 MB
010. Chapter 2 Setting up the coding environment.en.srt	SRT	6.2 KB
010. Chapter 2 Setting up the coding environment.mp4	MP4	16 MB
011. Chapter 2 Understanding hardware needs and recommendations.en.srt	SRT	7.6 KB
011. Chapter 2 Understanding hardware needs and recommendations.mp4	MP4	23.7 MB
012. Chapter 2 Preparing input texts for LLMs.en.srt	SRT	6.2 KB
012. Chapter 2 Preparing input texts for LLMs.mp4	MP4	20 MB
013. Chapter 2 Loading pretrained models.en.srt	SRT	10.1 KB
013. Chapter 2 Loading pretrained models.mp4	MP4	20.9 MB
014. Chapter 2 Understanding the sequential LLM text generation process.en.srt	SRT	12.7 KB
014. Chapter 2 Understanding the sequential LLM text generation process.mp4	MP4	28.8 MB
015. Chapter 2 Coding a minimal text generation function.en.srt	SRT	10.3 KB
015. Chapter 2 Coding a minimal text generation function.mp4	MP4	28.6 MB
016. Chapter 2 Faster inference via KV caching.en.srt	SRT	8.3 KB
016. Chapter 2 Faster inference via KV caching.mp4	MP4	23.5 MB
017. Chapter 2 Faster inference via PyTorch model compilation.en.srt	SRT	7.1 KB
017. Chapter 2 Faster inference via PyTorch model compilation.mp4	MP4	18.1 MB
018. Chapter 2 Summary.en.srt	SRT	1.3 KB
018. Chapter 2 Summary.mp4	MP4	3.9 MB
019. Chapter 3 Evaluating reasoning models.en.srt	SRT	6.7 KB
019. Chapter 3 Evaluating reasoning models.mp4	MP4	17.9 MB
020. Chapter 3 Loading a pretrained model to generate text.en.srt	SRT	4.7 KB
020. Chapter 3 Loading a pretrained model to generate text.mp4	MP4	14.9 MB
021. Chapter 3 Implementing a wrapper for easier text generation.en.srt	SRT	1.7 KB
021. Chapter 3 Implementing a wrapper for easier text generation.mp4	MP4	4.1 MB
022. Chapter 3 Extracting the final answer box.en.srt	SRT	9.9 KB
022. Chapter 3 Extracting the final answer box.mp4	MP4	25.8 MB
023. Chapter 3 Normalizing the extracted answer.en.srt	SRT	4 KB
023. Chapter 3 Normalizing the extracted answer.mp4	MP4	9.5 MB
024. Chapter 3 Verifying mathematical equivalence.en.srt	SRT	6.6 KB
024. Chapter 3 Verifying mathematical equivalence.mp4	MP4	17.9 MB
025. Chapter 3 Grading answers.en.srt	SRT	5.6 KB
025. Chapter 3 Grading answers.mp4	MP4	15.5 MB
026. Chapter 3 Loading the evaluation dataset.en.srt	SRT	5 KB
026. Chapter 3 Loading the evaluation dataset.mp4	MP4	15.7 MB
027. Chapter 3 Evaluating the model.en.srt	SRT	17.8 KB
027. Chapter 3 Evaluating the model.mp4	MP4	43.2 MB
028. Chapter 3 Summary.en.srt	SRT	1.9 KB
028. Chapter 3 Summary.mp4	MP4	4.5 MB
029. Chapter 4 Improving reasoning with inference-time scaling.en.srt	SRT	7.8 KB
029. Chapter 4 Improving reasoning with inference-time scaling.mp4	MP4	22.9 MB
030. Chapter 4 Loading a pretrained model.en.srt	SRT	3.6 KB
030. Chapter 4 Loading a pretrained model.mp4	MP4	10.3 MB
031. Chapter 4 Generating better responses with chain-of-thought prompting.en.srt	SRT	5.8 KB
031. Chapter 4 Generating better responses with chain-of-thought prompting.mp4	MP4	12.3 MB
032. Chapter 4 Controlling output diversity with temperature scaling.en.srt	SRT	32.6 KB
032. Chapter 4 Controlling output diversity with temperature scaling.mp4	MP4	69.4 MB
033. Chapter 4 Balancing diversity and coherence with top-p sampling.en.srt	SRT	15 KB
033. Chapter 4 Balancing diversity and coherence with top-p sampling.mp4	MP4	32.4 MB
034. Chapter 4 Improving response accuracy with self-consistency.en.srt	SRT	15.4 KB
034. Chapter 4 Improving response accuracy with self-consistency.mp4	MP4	36.1 MB
035. Chapter 4 Summary.en.srt	SRT	1.6 KB
035. Chapter 4 Summary.mp4	MP4	9.7 MB
036. Chapter 5 Inference-time scaling via self-refinement.en.srt	SRT	7 KB
036. Chapter 5 Inference-time scaling via self-refinement.mp4	MP4	18.7 MB
037. Chapter 5 Loading a pretrained model.en.srt	SRT	3.3 KB
037. Chapter 5 Loading a pretrained model.mp4	MP4	9 MB
038. Chapter 5 Scoring LLM responses with a rule-based score.en.srt	SRT	9.9 KB
038. Chapter 5 Scoring LLM responses with a rule-based score.mp4	MP4	29.3 MB
039. Chapter 5 Understanding token probability scores.en.srt	SRT	28.7 KB
039. Chapter 5 Understanding token probability scores.mp4	MP4	68.1 MB
040. Chapter 5 From token probability scores to log probabilities.en.srt	SRT	9.9 KB
040. Chapter 5 From token probability scores to log probabilities.mp4	MP4	23.1 MB
041. Chapter 5 Scoring model confidence with log probabilities.en.srt	SRT	7 KB
041. Chapter 5 Scoring model confidence with log probabilities.mp4	MP4	20.6 MB
042. Chapter 5 Self-refinement through iterative feedback.en.srt	SRT	5.5 KB
042. Chapter 5 Self-refinement through iterative feedback.mp4	MP4	11.3 MB
043. Chapter 5 Coding the self-refinement loop.en.srt	SRT	14 KB
043. Chapter 5 Coding the self-refinement loop.mp4	MP4	28.1 MB
044. Chapter 5 Summary.en.srt	SRT	1.7 KB
044. Chapter 5 Summary.mp4	MP4	9.6 MB
045. Chapter 6 Training reasoning models with reinforcement learning.en.srt	SRT	17.9 KB
045. Chapter 6 Training reasoning models with reinforcement learning.mp4	MP4	54.8 MB
046. Chapter 6 RLVR using GRPO.en.srt	SRT	11.2 KB
046. Chapter 6 RLVR using GRPO.mp4	MP4	34 MB
047. Chapter 6 Loading a pretrained model.en.srt	SRT	1.9 KB
047. Chapter 6 Loading a pretrained model.mp4	MP4	4.8 MB
048. Chapter 6 Loading a MATH training subset.en.srt	SRT	3.2 KB
048. Chapter 6 Loading a MATH training subset.mp4	MP4	7 MB
049. Chapter 6 Sampling rollouts.en.srt	SRT	5.3 KB
049. Chapter 6 Sampling rollouts.mp4	MP4	14.6 MB
050. Chapter 6 Calculating rewards.en.srt	SRT	2.8 KB
050. Chapter 6 Calculating rewards.mp4	MP4	7 MB
051. Chapter 6 Preparing learning signals from rollouts via advantages.en.srt	SRT	3.1 KB
051. Chapter 6 Preparing learning signals from rollouts via advantages.mp4	MP4	9 MB
052. Chapter 6 Scoring rollouts with sequence log probabilities.en.srt	SRT	11.7 KB
052. Chapter 6 Scoring rollouts with sequence log probabilities.mp4	MP4	33.2 MB
053. Chapter 6 From advantages to policy updates via the GRPO loss.en.srt	SRT	5 KB
053. Chapter 6 From advantages to policy updates via the GRPO loss.mp4	MP4	9.8 MB
054. Chapter 6 Putting everything together in a single GRPO function.en.srt	SRT	4.1 KB
054. Chapter 6 Putting everything together in a single GRPO function.mp4	MP4	10.8 MB
055. Chapter 6 Implementing the GRPO training loop.en.srt	SRT	9.4 KB
055. Chapter 6 Implementing the GRPO training loop.mp4	MP4	25.9 MB
056. Chapter 6 Loading and evaluating saved model checkpoints.en.srt	SRT	6.3 KB
056. Chapter 6 Loading and evaluating saved model checkpoints.mp4	MP4	13.3 MB
057. Chapter 6 Summary.en.srt	SRT	3.3 KB
057. Chapter 6 Summary.mp4	MP4	18.7 MB
058. Chapter 7 Improving GRPO for reinforcement learning.en.srt	SRT	3.3 KB
058. Chapter 7 Improving GRPO for reinforcement learning.mp4	MP4	9 MB
059. Chapter 7 Tracking GRPO performance metrics.en.srt	SRT	9.8 KB
059. Chapter 7 Tracking GRPO performance metrics.mp4	MP4	23.2 MB
060. Chapter 7 Tracking more advanced GRPO performance metrics.en.srt	SRT	16.9 KB
060. Chapter 7 Tracking more advanced GRPO performance metrics.mp4	MP4	47.6 MB
061. Chapter 7 Stabilizing sequence-level GRPO using clipped policy ratios.en.srt	SRT	12.9 KB
061. Chapter 7 Stabilizing sequence-level GRPO using clipped policy ratios.mp4	MP4	29.3 MB
062. Chapter 7 Controlling how much the model changes with a KL term.en.srt	SRT	15.2 KB
062. Chapter 7 Controlling how much the model changes with a KL term.mp4	MP4	47.8 MB
063. Chapter 7 Adding an explicit format reward.en.srt	SRT	20.8 KB
063. Chapter 7 Adding an explicit format reward.mp4	MP4	51.8 MB
064. Chapter 7 Summary.en.srt	SRT	2.2 KB
064. Chapter 7 Summary.mp4	MP4	5 MB
065. Chapter 8 Distilling reasoning models for efficient reasoning.en.srt	SRT	10.5 KB
065. Chapter 8 Distilling reasoning models for efficient reasoning.mp4	MP4	30.2 MB
066. Chapter 8 Generating a dataset for reasoning distillation.en.srt	SRT	3.6 KB
066. Chapter 8 Generating a dataset for reasoning distillation.mp4	MP4	10 MB
067. Chapter 8 Loading the MATH training dataset for distillation.en.srt	SRT	5.2 KB
067. Chapter 8 Loading the MATH training dataset for distillation.mp4	MP4	11.7 MB
068. Chapter 8 Building training examples.en.srt	SRT	12.8 KB
068. Chapter 8 Building training examples.mp4	MP4	32.7 MB
069. Chapter 8 Loading a pretrained model.en.srt	SRT	1.4 KB
069. Chapter 8 Loading a pretrained model.mp4	MP4	3.3 MB
070. Chapter 8 Computing the training and validation losses.en.srt	SRT	9.7 KB
070. Chapter 8 Computing the training and validation losses.mp4	MP4	27.7 MB
071. Chapter 8 Implementing the training loop for distillation.en.srt	SRT	5.8 KB
071. Chapter 8 Implementing the training loop for distillation.mp4	MP4	14.7 MB
072. Chapter 8 Evaluating the distilled model.en.srt	SRT	7.6 KB
072. Chapter 8 Evaluating the distilled model.mp4	MP4	20.1 MB
073. Chapter 8 Future directions for reasoning models.en.srt	SRT	4.8 KB
073. Chapter 8 Future directions for reasoning models.mp4	MP4	13 MB
074. Chapter 8 Conclusions.en.srt	SRT	5.6 KB
074. Chapter 8 Conclusions.mp4	MP4	11.5 MB
075. Chapter 8 Summary.en.srt	SRT	1.7 KB
075. Chapter 8 Summary.mp4	MP4	10 MB
076. appendix A References and further reading.en.srt	SRT	2.5 KB
076. appendix A References and further reading.mp4	MP4	4.2 MB
077. appendix A Chapter 2 Generating text with a pretrained LLM.en.srt	SRT	2.2 KB
077. appendix A Chapter 2 Generating text with a pretrained LLM.mp4	MP4	4.3 MB
078. appendix A Chapter 3 Evaluating reasoning models.en.srt	SRT	3 KB
078. appendix A Chapter 3 Evaluating reasoning models.mp4	MP4	5.5 MB
079. appendix A Chapter 4 Improving reasoning with inference-time scaling.en.srt	SRT	1.7 KB
079. appendix A Chapter 4 Improving reasoning with inference-time scaling.mp4	MP4	2.4 MB
080. appendix A Chapter 5 Inference-time scaling via self-refinement.en.srt	SRT	2.8 KB
080. appendix A Chapter 5 Inference-time scaling via self-refinement.mp4	MP4	4.6 MB
081. appendix A Chapter 6 Training reasoning models with reinforcement learning.en.srt	SRT	2.9 KB
081. appendix A Chapter 6 Training reasoning models with reinforcement learning.mp4	MP4	4.2 MB
082. appendix A Chapter 7 Improving GRPO for reinforcement learning.en.srt	SRT	3.1 KB
082. appendix A Chapter 7 Improving GRPO for reinforcement learning.mp4	MP4	9.1 MB
083. appendix A Chapter 8 Distilling reasoning models for efficient reasoning.en.srt	SRT	2.2 KB
083. appendix A Chapter 8 Distilling reasoning models for efficient reasoning.mp4	MP4	3.6 MB
084. appendix A Appendix F Common approaches to LLM evaluation.en.srt	SRT	2 KB
084. appendix A Appendix F Common approaches to LLM evaluation.mp4	MP4	3.3 MB
085. appendix B Exercise solutions.en.srt	SRT	1.9 KB
085. appendix B Exercise solutions.mp4	MP4	3.3 MB
086. appendix B Chapter 3.en.srt	SRT	8 KB
086. appendix B Chapter 3.mp4	MP4	14.9 MB
087. appendix B Chapter 4.en.srt	SRT	3.5 KB
087. appendix B Chapter 4.mp4	MP4	7.7 MB
088. appendix B Chapter 5.en.srt	SRT	5.5 KB
088. appendix B Chapter 5.mp4	MP4	9.8 MB
089. appendix B Chapter 6.en.srt	SRT	2.4 KB
089. appendix B Chapter 6.mp4	MP4	4.5 MB
090. appendix B Chapter 7.en.srt	SRT	3.6 KB
090. appendix B Chapter 7.mp4	MP4	7.5 MB
091. appendix B Chapter 8.en.srt	SRT	2.2 KB
091. appendix B Chapter 8.mp4	MP4	4.6 MB
092. appendix C Qwen3 LLM source code.en.srt	SRT	8 KB
092. appendix C Qwen3 LLM source code.mp4	MP4	17 MB
093. appendix C Feedforward module.en.srt	SRT	7.4 KB
093. appendix C Feedforward module.mp4	MP4	21.2 MB
094. appendix C Rotary position embeddings.en.srt	SRT	3.7 KB
094. appendix C Rotary position embeddings.mp4	MP4	9.6 MB
095. appendix C Grouped query attention.en.srt	SRT	3.4 KB
095. appendix C Grouped query attention.mp4	MP4	11 MB
096. appendix C Transformer block.en.srt	SRT	1.2 KB
096. appendix C Transformer block.mp4	MP4	2.3 MB
097. appendix C Main model code.en.srt	SRT	3.7 KB
097. appendix C Main model code.mp4	MP4	12.6 MB
098. appendix C KV cache.en.srt	SRT	716.8 B
098. appendix C KV cache.mp4	MP4	1.9 MB
099. appendix C Tokenizer.en.srt	SRT	1.6 KB
099. appendix C Tokenizer.mp4	MP4	4.2 MB
100. appendix C Using the model.en.srt	SRT	1.4 KB
100. appendix C Using the model.mp4	MP4	4.6 MB
101. appendix D Using larger LLMs.en.srt	SRT	4.3 KB
101. appendix D Using larger LLMs.mp4	MP4	10.3 MB
102. appendix D Downloading larger checkpoints overview.en.srt	SRT	1.7 KB
102. appendix D Downloading larger checkpoints overview.mp4	MP4	4 MB
103. appendix D Loading a larger base model.en.srt	SRT	2.9 KB
103. appendix D Loading a larger base model.mp4	MP4	7.7 MB
104. appendix D Loading a larger reasoning variant.en.srt	SRT	1.7 KB
104. appendix D Loading a larger reasoning variant.mp4	MP4	4.3 MB
105. appendix D Practical recommendations.en.srt	SRT	921.6 B
105. appendix D Practical recommendations.mp4	MP4	3 MB
106. appendix E Batching and throughput-oriented execution.en.srt	SRT	3.5 KB
106. appendix E Batching and throughput-oriented execution.mp4	MP4	8.6 MB
107. appendix E Running batched generation.en.srt	SRT	5.6 KB
107. appendix E Running batched generation.mp4	MP4	16.3 MB
108. appendix E Padding and attention masks.en.srt	SRT	3.4 KB
108. appendix E Padding and attention masks.mp4	MP4	9.4 MB
109. appendix E Chapter 3 Batched MATH-500 evaluation.en.srt	SRT	2.1 KB
109. appendix E Chapter 3 Batched MATH-500 evaluation.mp4	MP4	3.2 MB
110. appendix E Chapter 4 Batched self-consistency sampling.en.srt	SRT	1.8 KB
110. appendix E Chapter 4 Batched self-consistency sampling.mp4	MP4	3.6 MB
111. appendix E Chapter 6 Batched GRPO rollouts.en.srt	SRT	2 KB
111. appendix E Chapter 6 Batched GRPO rollouts.mp4	MP4	3.2 MB
112. appendix E Chapter 8 Batched distillation.en.srt	SRT	1 KB
112. appendix E Chapter 8 Batched distillation.mp4	MP4	3.1 MB
113. appendix E Single-sequence vs batch generation.en.srt	SRT	1.6 KB
113. appendix E Single-sequence vs batch generation.mp4	MP4	4.1 MB
114. appendix F Common approaches to model evaluation.en.srt	SRT	1.4 KB
114. appendix F Common approaches to model evaluation.mp4	MP4	4.2 MB
115. appendix F Evaluating answer-choice accuracy.en.srt	SRT	7.7 KB
115. appendix F Evaluating answer-choice accuracy.mp4	MP4	16.5 MB
116. appendix F Using verifiers to check answers.en.srt	SRT	2.1 KB
116. appendix F Using verifiers to check answers.mp4	MP4	6.2 MB
117. appendix F Comparing models using preferences and leaderboards.en.srt	SRT	9 KB
117. appendix F Comparing models using preferences and leaderboards.mp4	MP4	21 MB
118. appendix F Judging responses with other LLMs.en.srt	SRT	14 KB
118. appendix F Judging responses with other LLMs.mp4	MP4	36.5 MB
119. appendix G Building a chat interface.en.srt	SRT	3 KB
119. appendix G Building a chat interface.mp4	MP4	6.1 MB
120. appendix G Running the code as a script.en.srt	SRT	1.3 KB
120. appendix G Running the code as a script.mp4	MP4	2.1 MB
121. appendix G Downloading the scripts.en.srt	SRT	512 B
121. appendix G Downloading the scripts.mp4	MP4	952.3 KB
122. appendix G The regular single-turn script.en.srt	SRT	3.9 KB
122. appendix G The regular single-turn script.mp4	MP4	9.2 MB
123. appendix G Running the single-turn script.en.srt	SRT	3.2 KB
123. appendix G Running the single-turn script.mp4	MP4	8.4 MB
124. appendix G The multi-turn interface.en.srt	SRT	8.1 KB
124. appendix G The multi-turn interface.mp4	MP4	15.9 MB
Bonus Resources.txt	TXT	102.4 B

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Build a Reasoning Model (From Scratch), Video Edition

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