112 MB | 2min 23s | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English
Files Included :
FileName :01-Foundation models in generative AI applications.mp4 | Size: (6.53 MB)
FileName :02-How can Bedrock solve the problem.mp4 | Size: (4.72 MB)
FileName :03-Bedrock as a managed inference service.mp4 | Size: (6.34 MB)
FileName :04-Demo Invoke a model in the console.mp4 | Size: (6.04 MB)
FileName :05-Bedrock in the application.mp4 | Size: (4.13 MB)
FileName :01-The request-response flow with Bedrock in the application.mp4 | Size: (2.8 MB)
FileName :02-Transforming application requests into model inputs.mp4 | Size: (6.96 MB)
FileName :03-Returning and consuming model responses.mp4 | Size: (5.83 MB)
FileName :01-Common foundation model use cases with Bedrock.mp4 | Size: (3.82 MB)
FileName :02-Invocation patterns.mp4 | Size: (6.98 MB)
FileName :03-Demo Synchronous vs streaming invocations.mp4 | Size: (8.2 MB)
FileName :04-Identifying architectural anti-patterns.mp4 | Size: (5.84 MB)
FileName :01-Foundation model limitations and the role of augmentation.mp4 | Size: (3.02 MB)
FileName :02-What is RAG.mp4 | Size: (5.51 MB)
FileName :03-Retrieval components in Bedrock-based applications.mp4 | Size: (7.62 MB)
FileName :04-Demo RAG with Bedrock Knowledge Bases.mp4 | Size: (7.66 MB)
FileName :05-When to use and not to use RAG.mp4 | Size: (5.19 MB)]
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