Generative AI Engineering with LLMs Specialization

0dayddl · Samstag um 11:45

1.05 GB | 00:09:55 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :

01 course-introduction.mp4 (8.54 MB)
01 rag.mp4 (19.34 MB)
02 rag-encoders-and-faiss.mp4 (34.27 MB)
01 introduction-to-langchain.mp4 (10.69 MB)
02 introduction-to-in-context-learning.mp4 (16.69 MB)
03 advanced-methods-of-prompt-engineering.mp4 (16.98 MB)
04 langchain-core-concepts.mp4 (19.81 MB)
05 langchain-documents-for-building-rag-applications.mp4 (11.49 MB)
06 langchain-chains-and-agents-for-building-applications.mp4 (17.69 MB)
01 course-introduction.mp4 (6.02 MB)
01 converting-words-to-features.mp4 (13.84 MB)
04 training-the-model-in-pytorch.mp4 (7.23 MB)
01 language-modeling-with-n-grams.mp4 (16.89 MB)
02 n-grams-as-neural-networks-with-pytorch.mp4 (11.08 MB)
01 course-introduction.mp4 (9.93 MB)
01 basics-of-instruction-tuning.mp4 (21.75 MB)
02 instruction-tuning-with-hugging-face.mp4 (21.85 MB)
04 reward-modeling-response-evaluation.mp4 (11.48 MB)
05 reward-model-training.mp4 (19.72 MB)
06 reward-modeling-with-hugging-face.mp4 (25.75 MB)
01 large-language-models-llms-as-distributions.mp4 (25.8 MB)
02 from-distributions-to-policies.mp4 (14.88 MB)
03 reinforcement-learning-from-human-feedback-rlhf.mp4 (26.74 MB)
04 proximal-policy-optimization-ppo.mp4 (16.29 MB)
05 ppo-with-hugging-face.mp4 (15.34 MB)
06 ppo-trainer.mp4 (24.42 MB)
01 dpo-partition-function.mp4 (19.21 MB)
02 dpo-optimal-solution.mp4 (18.32 MB)
03 from-optimal-policy-to-dpo.mp4 (22.83 MB)
04 dpo-with-hugging-face.mp4 (19.57 MB)
01 course-introduction.mp4 (8.74 MB)
01 hugging-face-vs-pytorch.mp4 (14.48 MB)
02 using-pre-trained-transformers-and-fine-tuning.mp4 (22.98 MB)
03 fine-tuning-with-pytorch.mp4 (27.7 MB)
04 fine-tuning-with-hugging-face.mp4 (16.89 MB)
01 video-introduction-to-peft.mp4 (24.78 MB)
02 low-rank-adaptation-lora.mp4 (17.34 MB)
03 lora-with-hugging-face-and-pytorch.mp4 (24.78 MB)
04 from-quantization-to-qlora.mp4 (18.4 MB)
01 course-introduction.mp4 (6.42 MB)
01 positional-encoding.mp4 (15.36 MB)
02 attention-mechanism.mp4 (13.97 MB)
01 language-modeling-with-the-decoders-and-gpt-like-models.mp4 (14.6 MB)
02 training-decoder-models.mp4 (15.26 MB)
03 decoder-models-pytorch-implementation-causal-lm.mp4 (19.44 MB)
04 decoder-models-pytorch-implementation-using-training-and-inference.mp4 (13.52 MB)
01 encoder-models-with-bert-pretraining-using-mlm.mp4 (12.94 MB)
02 encoder-models-with-bert-pretraining-using-nsp.mp4 (14.02 MB)
03 data-preparation-for-bert-with-pytorch.mp4 (30.82 MB)
04 pretraining-bert-models-with-pytorch.mp4 (30.59 MB)
01 overview-of-ai-engineering-with-llms.mp4 (18.29 MB)
02 course-introduction.mp4 (4.73 MB)
01 significance-of-generative-ai.mp4 (7.8 MB)
02 generative-ai-architectures-and-models.mp4 (8.79 MB)
03 generative-ai-for-nlp.mp4 (10.56 MB)
01 tokenization.mp4 (11.54 MB)
02 overview-of-data-loaders.mp4 (10.65 MB)
01 course-introduction.mp4 (10.4 MB)
01 load-your-document-from-different-sources.mp4 (28.47 MB)
01 strategies-for-splitting-text-for-optimal-processing.mp4 (19.39 MB)
01 introduction-to-vector-databases-for-storing-embeddings.mp4 (12.02 MB)
01 explore-advanced-retrievers-in-langchain-part-1.mp4 (7.27 MB)
02 explore-advanced-retrievers-in-langchain-part-2.mp4 (18.45 MB)
01 getting-started-with-gradio.mp4 (11.02 MB)

]
Screenshot