OpenAI API Functions & Embeddings Course (7/7): Sentiment Analysis using Embeddings

πŸ’‘ 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

OpenAI API Functions & Embeddings Course (6/7): Similarity Comparison with Embeddings

πŸ’‘ 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

OpenAI API Functions & Embeddings Course (5/7): Calling Functions That Do Not Exist to Extract Structured Data

πŸ’‘ 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

OpenAI API Functions & Embeddings Course (4/7): Database Querying using ChatGPT

πŸ’‘ 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 4, where we’ll be doing something mind-blowing yet again! In this part, we will be connecting ChatGPT to a database and then using ChatGPT to extract information from the database using only natural language on the end user’s part. … Read more

OpenAI API Functions & Embeddings Course (3/7): Multiple Functions and Multiple Calls

πŸ’‘ 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 3, where we’ll take things one step further and look at having multiple functions and even calling multiple functions in a row. First, let’s make a second function for ChatGPT to call. We have ChatGPT with access to the … Read more

OpenAI API Functions & Embeddings Course (2/7): Function Calls with Parameters

πŸ’‘ Full Course with Videos and Course Certificate (PDF): https://academy.finxter.com/university/openai-api-function-calls-and-embeddings/ Course Overview Welcome to the second part of the tutorial, where we’ll look at the shortcomings of ChatGPT and use our functions with parameters to overcome them. First, make a file in your base directory called ‘Ba_chatgpt_no_weather.py‘ and copy/paste the following basic code into it: … Read more

OpenAI API Functions & Embeddings Course (1/7): Simple Function Request

πŸ’‘ Full Course with Videos and Course Certificate (PDF): https://academy.finxter.com/university/openai-api-function-calls-and-embeddings/ Course Overview πŸ‘‹ Hi, and welcome. I’m Dirk van Meerveld, and I’ll be your host and guide for this tutorial series, where we’ll be focussing on OpenAi’s ChatGPT function calls and the embeddings API. Function calls will allow us to make ChatGPT even smarter by … Read more

The Most Pythonic Way to Get N Largest and Smallest List Elements

Using heapq.nlargest() and heapq.nsmallest() is more efficient than sorting the entire list and then slicing it. Sorting takes O(n log n) time and slicing takes O(N) time, making the overall time complexity O(n log n) + O(N). However, heapq.nlargest() and heapq.nsmallest() have a time complexity of O(n log N), which is more efficient, especially when … Read more

[BREAKING] Tesla Car Drives Elon Musk in Epic Livestream (FSD V12): NOTHING BUT NETS–All The Way Down!

Wow, Tesla Full Self-Driving (FSD), the most incredible real-world software system humanity has ever seen, doesn’t rely on explicit code. It’s an end-to-end neural network solution. The new paradigm is: there is no explicit coding; the code is … neural net weights trained on massive data! 🀯 In a recent live stream, Elon Musk and … Read more

Best 10 Smoothies for Coders — Boost Your Brainpower in a Sip

As a coder, you’re probably spending long hours in front of your computer screen, solving complex problems and developing cutting-edge software. During those intense periods, it’s important to keep your energy levels up and your brain fueled with the right nutrients. πŸ‡πŸπŸ‰ Smoothies can be a perfect way to achieve that, and they also serve … Read more