GenAI 101 Course: Day 3 – Development Setup and First Course

February 13, 2024
6 min read
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It is now time to switch from primarily interaction-based tasks to the entire realm of application, ranging anywhere from generating content to analyzing data.

Tim Smith and Ale Vergara: Leveling Up Development

  • Is it okay if I don't have much coding experience?
  • How do we embed GenAI functionality into applications?

At this point in the course, we transition to becoming more hands-on learners on Day 3 of our latest project: GenAI 101. From a basic how-to guide for setting up your own development environment to leveraging the versatility of an API, there is a fair amount of ground to cover. Thankfully, our brand-new, five-day GenAI 101 Course is your exclusive gateway to understanding, creating, and unleashing the power of this incredible technology.

Whether you're a tech enthusiast, a creative mind, or just curious about the cutting-edge of AI, this course is designed for you. Join us on this exhilarating journey, and let's explore the endless possibilities of Generative AI together!

"When you need the versatility of a model for diverse applications, richer content generation, or tasks that go beyond simple Q&A, then exploiting an API to a language model will likely be more flexible and performant."

Tim Smith - Partner, Bee Partners

Read more about Day 3 of our GenAI 101 Course below, or head straight to our course to start learning!


In the realm of software development, Integrated Development Environments (IDEs) serve as comprehensive platforms facilitating coding tasks such as writing, testing, and debugging software programs. Microsoft's VS Studio Code emerges as a recommended choice for beginners due to its free access and extensive extensions library, enabling enhanced functionality. With built-in tools for compiling, debugging, and project management, IDEs streamline development tasks, minimize context switching, and elevate overall code quality, making them indispensable tools for developers.

APIs, or Application Programming Interfaces, facilitate seamless communication between different software systems by defining methods and protocols for data exchange. By integrating GenAI functionality into applications and system environments via APIs like OpenAI, developers unlock a vast array of possibilities for innovation and value creation.

Basic Integrated Development Environments (IDEs)

Software Development 101

An IDE is a comprehensive software application that provides developers with a centralized platform for writing, testing, debugging, and deploying software programs. It combines various tools, features, and functionalities into a single user interface, streamlining the development process and enhancing productivity. At its core, an IDE typically includes a text editor with syntax highlighting and auto-completion capabilities, making it easier for developers to write and edit code efficiently

Setting up a basic Integrated Development Environment (IDE) is essential for efficient coursework completion. If you don't have a preferred IDE already, we recommend using Microsoft's free and versatile VS Studio Code, which offers a vast extension library for enhanced functionality. To optimize your workflow, we suggest installing key VS Code extensions such as Python for robust language support, Pylance for enhanced Python support, and Prettier for code formatting.

One of the key advantages of an IDE is its extensive set of built-in tools and utilities designed to support the entire software development lifecycle. These tools may include integrated compilers, debuggers, and profilers, enabling developers to compile, run, and debug their code within the same environment. Furthermore, IDEs often come with project management features, allowing developers to organize their codebase, manage dependencies, and track progress effectively. This cohesive workflow helps streamline development tasks, reduce context switching, and improve overall code quality.

Getting to Know APIs

Transitioning beyond interactive chatbot usage marks a significant advancement in harnessing the capabilities of models through API integration. While engaging in question-and-answer sessions with chatbots offers practicality and spontaneity for research purposes, integrating an API to seamlessly integrate GenAI functionality into an application and system environment signifies a substantial expansion of functionality. In our course, we recommend focusing on acquainting oneself with a prevalent and robust API such as the OpenAI API.

But what exactly is an API?

Application Programming Interfaces (APIs) serve as intermediary tools that enable different software systems to communicate and interact with each other. They define the methods and protocols through which different software components or services can request and exchange data. Essentially, APIs provide a set of rules and protocols that allow applications to access the features or data of other applications or services, abstracting away the complexities of the underlying implementation.

Did you know that Open AI collaborated with DeepLearning.AI to offer a FREE "Prompt Engineering Course" for Developers?

Understanding and Applying Text Embedding

One of the fundamental concepts in natural language processing (NLP) involves representing words or phrases as dense vectors in a continuous vector space. These vectors capture semantic relationships between words, enabling algorithms to understand and process textual data more effectively.

The process of text embedding typically involves training neural network models on large corpora of text data, such as books, articles, or online documents. During training, the model learns to map each word or phrase to a high-dimensional vector, where similar words or phrases are mapped to nearby points in the vector space.

One of the most commonly used techniques for text embedding is Word2Vec, which learns distributed representations of words based on the context in which they appear in the training data. Word2Vec can generate dense word embeddings that capture syntactic and semantic similarities between words, making it useful for tasks like word similarity measurement, text classification, and information retrieval.

Another popular technique is GloVe (Global Vectors for Word Representation), which combines co-occurrence statistics with matrix factorization to generate word embeddings that capture global word-word relationships. These embeddings are pre-trained on large text corpora and can be directly used in downstream NLP tasks or fine-tuned on specific datasets for improved performance.

Reassurance To Anyone Less 'Tech Savvy'

Venturing into the realm of AI might seem like embarking on an uncharted odyssey, with nebulous fears lingering on the horizon. However, let us assure you: understanding AI need not be an intimidating journey. Think of it as exploring a fascinating new frontier, where curiosity is your compass, and each concept is a discovery waiting to unfold.

We encourage you to approach AI with a sense of curiosity and excitement. It's not about unraveling an enigma but rather deciphering the language of innovation. From machine learning to neural networks, AI demystifies itself through logical constructs and algorithms–tools that more people than ever can wield to shape the future (even without significant background or experience).

3 Key Takeaways:

  • There are two common methods to leverage a model: Using a chatbot via prompts involves engaging with predefined or user-inputted queries while utilizing an API to an LLM involves directly harnessing the model's capabilities to generate or analyze text within an application.
  • Depending on your development experience, find an IDE that suits you: The goal is to tailor it to your needs for an efficient and enjoyable coding experience. Begin by exploring different IDE options available for your programming language of choice, considering factors such as ease of use, available features, community support, and compatibility with your workflow.
  • Do not be afraid to leverage other third-party resources: We recognize that we do not have all the answers and that others have done a pretty good job ahead of us. On top of the recommendations we make for those who would prefer a starting point, always remember that there are a myriad of learning opportunities available for all experience levels.

Click here to learn more about the Bee Partners and the Team, or here if you are a Founder innovating in any of our three vectors.

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