AWS Developers | Mastering Amazon Bedrock with Claude 3: Developer's Guide with Demos @awsdevelopers | Uploaded 5 months ago | Updated 3 hours ago
This video dives into the Claude 3 family, a revolutionary large language model (LLM) now available on Amazon Bedrock. We’ll showcase live demos to unveil its capabilities, including:
⚡️Multi-Model Selection: Discover Claude 3's three variants, each offering a unique blend of speed, intelligence, and cost to fit your specific needs.
⚡️Real-World Applications: Witness practical demonstrations on Amazon Bedrock that highlight Claude 3's potential, including defect identification in circuit boards, Python code generation for CNNs, and even technical blog post creation based on its generated code.
⚡️ Seamless Integration: Learn how to leverage Claude 3's power through user-friendly Amazon Bedrock APIs.
Resources:
🔗 Full code for using Claude 3 with Amazon Bedrock APIs to quantify response speed of Sonnet & Haiku:
https://catalog.us-east-1.prod.workshops.aws/workshops/17879811-bd5c-4530-8b85-f0042472f2a1/en-US/api-calling/python
☁️ Anthropic’s Claude in Amazon Bedrock:
aws.amazon.com/bedrock/claude
🛠️ Invoke Claude 3 on Amazon Bedrock with multimodal prompt:
docs.aws.amazon.com/bedrock/latest/userguide/bedrock-runtime_example_bedrock-runtime_Claude3_Multimodal_section.html
⚡️ Introducing the next generation of Claude:
anthropic.com/news/claude-3-family
Chapters:
00:53 - Unveiling Claude 3
03:51 - Claude 3 Goes Multimodal: Beyond Text
04:29 - Exploring Claude 3’s Potential: A Showcase of Demos
04:56 - Demo #1: Circuit Board Defect Detection (Sonnet)
10:25 - Demo #2: Using Amazon Bedrock’s Compare Mode to Perform Circuit Board Defect Detection (Sonnet vs. Haiku)
14:00 - Demo #3: Coding Advisor (Sonnet)
19:19 - Demo #4: Writing Tech Blog Posts (Sonnet)
23:23 - Use Claude 3 with Amazon Bedrock APIs - Writing in Shakespeare’s Style
24:14 - Use Claude 3 with Amazon Bedrock APIs - Quantifying Performance Differences Between Haiku and Sonnet
25:22 - Summarization and thanks
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🐦 Twitter: twitter.com/awsdevelopers
💼 LinkedIn: linkedin.com/showcase/aws-developers
👾 Twitch: twitch.tv/aws
📺 Instagram: instagram.com/awsdevelopers/?hl=en
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💼 Linkedin: linkedin.com/in/haowen-huang-9599445
This video dives into the Claude 3 family, a revolutionary large language model (LLM) now available on Amazon Bedrock. We’ll showcase live demos to unveil its capabilities, including:
⚡️Multi-Model Selection: Discover Claude 3's three variants, each offering a unique blend of speed, intelligence, and cost to fit your specific needs.
⚡️Real-World Applications: Witness practical demonstrations on Amazon Bedrock that highlight Claude 3's potential, including defect identification in circuit boards, Python code generation for CNNs, and even technical blog post creation based on its generated code.
⚡️ Seamless Integration: Learn how to leverage Claude 3's power through user-friendly Amazon Bedrock APIs.
Resources:
🔗 Full code for using Claude 3 with Amazon Bedrock APIs to quantify response speed of Sonnet & Haiku:
https://catalog.us-east-1.prod.workshops.aws/workshops/17879811-bd5c-4530-8b85-f0042472f2a1/en-US/api-calling/python
☁️ Anthropic’s Claude in Amazon Bedrock:
aws.amazon.com/bedrock/claude
🛠️ Invoke Claude 3 on Amazon Bedrock with multimodal prompt:
docs.aws.amazon.com/bedrock/latest/userguide/bedrock-runtime_example_bedrock-runtime_Claude3_Multimodal_section.html
⚡️ Introducing the next generation of Claude:
anthropic.com/news/claude-3-family
Chapters:
00:53 - Unveiling Claude 3
03:51 - Claude 3 Goes Multimodal: Beyond Text
04:29 - Exploring Claude 3’s Potential: A Showcase of Demos
04:56 - Demo #1: Circuit Board Defect Detection (Sonnet)
10:25 - Demo #2: Using Amazon Bedrock’s Compare Mode to Perform Circuit Board Defect Detection (Sonnet vs. Haiku)
14:00 - Demo #3: Coding Advisor (Sonnet)
19:19 - Demo #4: Writing Tech Blog Posts (Sonnet)
23:23 - Use Claude 3 with Amazon Bedrock APIs - Writing in Shakespeare’s Style
24:14 - Use Claude 3 with Amazon Bedrock APIs - Quantifying Performance Differences Between Haiku and Sonnet
25:22 - Summarization and thanks
Follow AWS Developers!
🐦 Twitter: twitter.com/awsdevelopers
💼 LinkedIn: linkedin.com/showcase/aws-developers
👾 Twitch: twitch.tv/aws
📺 Instagram: instagram.com/awsdevelopers/?hl=en
Follow Haowen!
💼 Linkedin: linkedin.com/in/haowen-huang-9599445
