Code Conversations

To trust or not to trust? That depends on the quality of your prompts. Trusting Large Language Models (LLMs) is all about reducing uncertainties, and effective prompt design is the key to achieving the desired outputs.Prompt design, often referred to as Prompt Engineering, is a burgeoning field that demands creativity and meticulous attention to detail. It involves carefully selecting the right words, symbols, patterns, and formats to guide the LLMs in generating high-quality and relevant texts for the tasks at hand.We will write live prompts - taking input from the audience, and improving it on the fly!

Ref: https://www.youtube.com/watch?v=1XrgOK-Ydl8&list=PL03Lrmd9CiGey6VY_mGu_N8uI10FrTtXZ&index=19

People talking about AI is like glitter after a craft project, or azulejos in architecture, it's everywhere! Recent advances in generative AI, like Stable Diffusion and Chat-GPT, have the industry more hyped up than a caffeine-addicted toddler. It can leave one feeling like they're being left behind if they're not incorporating AI into their apps today.In this talk, we'll take a sober look at the topic of Generative AIs. In particular, we'll look at how Large Language Models (LLMs) work and where they break down. We'll consider how to engineer prompts for AI. And finally, we'll look at practical examples of adding AI into into a real-world app based on my experiences introducing AI into https://ab.bot/, an app designed to help customer success teams support their customers. We'll write code that calls Open AI APIs that demonstrate how to sprinkle a little AI into your own app. Join us to learn how to leverage the latest advancements in generative AI and take your applications to the next level.

Ref: https://www.youtube.com/watch?v=OxHw_u45h7M&list=PL03Lrmd9CiGey6VY_mGu_N8uI10FrTtXZ&index=18

The landscape of software development is rapidly evolving, and developers are constantly seeking better tools to enhance their productivity and create more efficient workflows. In this talk, I'll show you what many of my enterprise customers are looking to implement - deploying architectural archetypes using the latest advancements in developer toolsets.We will stand up our dev environment on Azure DevBox and GitHub Codespaces, use the Azure Developer CLI to deploy the templates, leverage GitHub CoPilot for AI-powered code generation to deploy an architecture including the Azure OpenAI API for integrating machine learning and natural language processing into applications - and we'll easily do it in 60 minutes.Come along for a hands-on tour of the latest in developer tooling.

Ref: https://www.youtube.com/watch?v=mTozV_eV4jQ&list=PL03Lrmd9CiGey6VY_mGu_N8uI10FrTtXZ&index=17

It's been hard to miss AI in the news recently. From breakthroughs in natural language processing to impressive image recognition and generation capabilities, AI is everywhere we look right now!In this talk, experienced software engineer Simon Waight will explore the benefits and considerations for developers when they are looking to adopt generative AI as part of their toolkit.To help set the scene, there will be a brief introduction to the fascinating world of generative AI and how it fits into AI more broadly.We'll then look at how generative AI can aid developers in streamlining their workflows and enhance productivity. How about instead of manually creating solutions from scratch, developers could utilise generative models to automatically generate prototypes, designs, or code snippets? How about in a programming language they don't even know?!But there are risks, which we'll explore along the way to ensure everyone is making informed decisions about adopting this technology that has massive positive potential.Finally, all talk and no demo sessions aren't fun, so we'll also do some audience-interactive live coding with a couple of scenarios that will demonstrate the value of this new technology.

Ref: https://www.youtube.com/watch?v=j_NsChKERh8&list=PL03Lrmd9CiGey6VY_mGu_N8uI10FrTtXZ&index=17

https://www.youtube.com/watch?v=odWIkRcqEAU&list=PL03Lrmd9CiGey6VY_mGu_N8uI10FrTtXZ&index=20

To trust or not to trust? That depends on the quality of your prompts. Trusting Large Language Models (LLMs) is all about reducing uncertainties, and effective prompt design is the key to achieving the desired outputs.Prompt design, often referred to as Prompt Engineering, is a burgeoning field that demands creativity and meticulous attention to detail. It involves carefully selecting the right words, symbols, patterns, and formats to guide the LLMs in generating high-quality and relevant texts for the tasks at hand.We will write live prompts - taking input from the audience, and improving it on the fly!

https://www.youtube.com/watch?v=1XrgOK-Ydl8&list=PL03Lrmd9CiGey6VY_mGu_N8uI10FrTtXZ&index=19

People talking about AI is like glitter after a craft project, or azulejos in architecture, it's everywhere! Recent advances in generative AI, like Stable Diffusion and Chat-GPT, have the industry more hyped up than a caffeine-addicted toddler. It can leave one feeling like they're being left behind if they're not incorporating AI into their apps today.In this talk, we'll take a sober look at the topic of Generative AIs. In particular, we'll look at how Large Language Models (LLMs) work and where they break down. We'll consider how to engineer prompts for AI. And finally, we'll look at practical examples of adding AI into into a real-world app based on my experiences introducing AI into https://ab.bot/, an app designed to help customer success teams support their customers. We'll write code that calls Open AI APIs that demonstrate how to sprinkle a little AI into your own app. Join us to learn how to leverage the latest advancements in generative AI and take your applications to the next level.

https://www.youtube.com/watch?v=OxHw_u45h7M&list=PL03Lrmd9CiGey6VY_mGu_N8uI10FrTtXZ&index=18

The landscape of software development is rapidly evolving, and developers are constantly seeking better tools to enhance their productivity and create more efficient workflows. In this talk, I'll show you what many of my enterprise customers are looking to implement - deploying architectural archetypes using the latest advancements in developer toolsets.We will stand up our dev environment on Azure DevBox and GitHub Codespaces, use the Azure Developer CLI to deploy the templates, leverage GitHub CoPilot for AI-powered code generation to deploy an architecture including the Azure OpenAI API for integrating machine learning and natural language processing into applications - and we'll easily do it in 60 minutes.Come along for a hands-on tour of the latest in developer tooling.

https://www.youtube.com/watch?v=mTozV_eV4jQ&list=PL03Lrmd9CiGey6VY_mGu_N8uI10FrTtXZ&index=17

It's been hard to miss AI in the news recently. From breakthroughs in natural language processing to impressive image recognition and generation capabilities, AI is everywhere we look right now!In this talk, experienced software engineer Simon Waight will explore the benefits and considerations for developers when they are looking to adopt generative AI as part of their toolkit.To help set the scene, there will be a brief introduction to the fascinating world of generative AI and how it fits into AI more broadly.We'll then look at how generative AI can aid developers in streamlining their workflows and enhance productivity. How about instead of manually creating solutions from scratch, developers could utilise generative models to automatically generate prototypes, designs, or code snippets? How about in a programming language they don't even know?!But there are risks, which we'll explore along the way to ensure everyone is making informed decisions about adopting this technology that has massive positive potential.Finally, all talk and no demo sessions aren't fun, so we'll also do some audience-interactive live coding with a couple of scenarios that will demonstrate the value of this new technology.

Ref: https://www.youtube.com/watch?v=j_NsChKERh8&list=PL03Lrmd9CiGey6VY_mGu_N8uI10FrTtXZ&index=17

To trust or not to trust? That depends on the quality of your prompts. Trusting Large Language Models (LLMs) is all about reducing uncertainties, and effective prompt design is the key to achieving the desired outputs.Prompt design, often referred to as Prompt Engineering, is a burgeoning field that demands creativity and meticulous attention to detail. It involves carefully selecting the right words, symbols, patterns, and formats to guide the LLMs in generating high-quality and relevant texts for the tasks at hand.We will write live prompts - taking input from the audience, and improving it on the fly!

https://www.youtube.com/watch?v=1XrgOK-Ydl8&list=PL03Lrmd9CiGey6VY_mGu_N8uI10FrTtXZ&index=19