Akamai Developer | Prompt Engineering in Web Development | Using LangChain and Templates with OpenAI @AkamaiDeveloper | Uploaded September 2023 | Updated October 2024, 5 hours ago.
Continuing our series on building web applications that incorporate AI tooling, @heyAustinGil dives into the concept of prompt engineering. Austin demonstrates how you can use prompt templates to streamline and manage the use of AI prompts in web application development.
New to Cloud Computing? Get started here with a $100 credit → linode.com/lp/youtube-viewers/?ifso=linodetube&utm_source=youtube&utm_medium=SuperUser
Chapters:
0:00 Introduction
0:34 Modify the UI
4:25 Define Input Component Properties
8:05 Have Attribute Inherit to Text Area
11:28 Add aria-value
13:19 Create global.d.ts
15:50 Create Opponents Bot
16:30 Add in the AI and Context
23:40 Refine the Prompts
24:20 What Are Tokens?
26:30 Temperature Values
27:40 Refine Prompt
29:10 Introducing LangChain
35:00 Animating the Winning Result
40:20 Add RegEx to Format Winning Response
43:40 Insert Query Collector
45:30 Insert Rainbow Class
46:30 Install party-js
47:50 Test App
49:20 Conclusion
Follow along with Austin's GitHub → github.com/AustinGil/versus
Check out Qwik.js docs→ qwik.builder.io/docs
See OpenAI Docs → platform.openai.com/overview
Learn more about Fetch API → developer.mozilla.org/en-US/docs/Web/API/Fetch_API
Subscribe to get notified of new episodes as they come out → youtube.com/linode?sub_confirmation=1
#AkamaiDeveloper #openai #qwikjs #nodejs
Product: Akamai Developer, OpenAI, Qwik.js, ChatGPT; @heyAustinGil
Continuing our series on building web applications that incorporate AI tooling, @heyAustinGil dives into the concept of prompt engineering. Austin demonstrates how you can use prompt templates to streamline and manage the use of AI prompts in web application development.
New to Cloud Computing? Get started here with a $100 credit → linode.com/lp/youtube-viewers/?ifso=linodetube&utm_source=youtube&utm_medium=SuperUser
Chapters:
0:00 Introduction
0:34 Modify the UI
4:25 Define Input Component Properties
8:05 Have Attribute Inherit to Text Area
11:28 Add aria-value
13:19 Create global.d.ts
15:50 Create Opponents Bot
16:30 Add in the AI and Context
23:40 Refine the Prompts
24:20 What Are Tokens?
26:30 Temperature Values
27:40 Refine Prompt
29:10 Introducing LangChain
35:00 Animating the Winning Result
40:20 Add RegEx to Format Winning Response
43:40 Insert Query Collector
45:30 Insert Rainbow Class
46:30 Install party-js
47:50 Test App
49:20 Conclusion
Follow along with Austin's GitHub → github.com/AustinGil/versus
Check out Qwik.js docs→ qwik.builder.io/docs
See OpenAI Docs → platform.openai.com/overview
Learn more about Fetch API → developer.mozilla.org/en-US/docs/Web/API/Fetch_API
Subscribe to get notified of new episodes as they come out → youtube.com/linode?sub_confirmation=1
#AkamaiDeveloper #openai #qwikjs #nodejs
Product: Akamai Developer, OpenAI, Qwik.js, ChatGPT; @heyAustinGil
