This learning path will teach you the skills to be the core foundation of a profitable new career in the upcoming decade of rapid change. Our proposed learning path focuses on developing skills in Python, OpenAI, and related technologies to master prompt engineering. Let’s be on the right side of change! 🚀 All courses can … Read more
Open-source research on large language models (LLMs) is crucial for democratizing this powerful technology. Although open-source LLMs are now widely used and studied, they faced initial challenges and criticism. Early attempts at creating open-source LLMs like OPT and BLOOM had poor performance compared to closed-source models. This led researchers to realize the need for higher-quality … Read more
If you’re like me, you’re using OpenAI API a lot in your Python code. So the natural question arises: “How to use OpenAI’s API asynchronously by issuing multiple requests at once?” I will give you my code for asynchronous OpenAI API requests for copy and paste below. But first, allow me to give you a … Read more
Install LlamaIndex with PIP Note that we assume you’re using OpenAI API. If you don’t want to use OpenAI, LlamaIndex automatically uses Meta’s Llama model. However, this would require roughly 12GB of your memory across GPU and CPU (at the time of writing) and run the Llama LLM models locally. 🧑💻 Tip: I recommend you … Read more
🦙 LlamaIndex is a powerful tool to implement the “Retrieval Augmented Generation” (RAG) concept in practical Python code. If you want to become an exponential Python developer who wants to leverage large language models (aka. Alien Technology) to 10x your coding productivity, you’ve come to the right place. Let’s get started with the concept first. … Read more
An autoencoder is a neural network that learns to compress and reconstruct unlabeled data. It has two parts: an encoder that processes the input, and a decoder that reproduces it. While the original transformer model was an autoencoder with both encoder and decoder, OpenAI’s GPT series uses only a decoder. In a way, transformers are … Read more
Deep learning has revolutionized various fields, including image recognition and natural language processing. Two prominent architectures have emerged and are widely adopted: Convolutional Neural Networks (CNNs) and Transformers. CNNs and Transformers differ in their architecture, focus domains, and coding strategies. CNNs excel in computer vision, while Transformers show exceptional performance in NLP; although, with the … Read more
TL;DR: Transformers process input sequences in parallel, making them computationally efficient compared to RNNs which operate sequentially. Both handle sequential data like natural language, but Transformers don’t require data to be processed in order. They avoid recursion, capturing word relationships through multi-head attention and positional embeddings. However, traditional Transformers can only capture dependencies within their … Read more
I’ve read the expression of large language models (LLMs) being “Money Laundering for Copyrighted Data” on Simon Willison’s blog. In today’s article, I’ll show you which exact training data sets open-source LLMs use, so we can gain some more insights into this new alien technology and, hopefully, get smarter and more effective prompters. Let’s get … Read more
💡 Full Course with Videos and Course Certificate (PDF): https://academy.finxter.com/university/openai-api-function-calls-and-embeddings/ Course Overview Welcome back to the final part of this tutorial series. In this part, we’ll be looking at simple sentiment analysis using embeddings. For most text classification tasks, fine-tuned machine learning models will do better than embeddings, because they have been meticulously tuned and … Read more
💡 Full Course with Videos and Course Certificate (PDF): https://academy.finxter.com/university/openai-api-function-calls-and-embeddings/ Course Overview Welcome back to part 6 of this tutorial series. In this part, we’re going to be looking at embeddings. What is an embedding? Without getting into algorithmic arithmetic an embedding is basically a numerical (vector) representation of text that makes no sense to … Read more
💡 Full Course with Videos and Course Certificate (PDF): https://academy.finxter.com/university/openai-api-function-calls-and-embeddings/ Course Overview Welcome back to part 5, Where we’ll be calling functions that do not even exist. We’ll also briefly touch on pitfalls, failures, and retrying to make our code more robust as introducing AI tends to make our code a little more unpredictable and … Read more