Injecting Life Energy Into AIs with Bitcoin, LLMs, APIs, & Lightning βš‘πŸ€–

I assume you’re a human reader even though the apriori probability is not on my side on this assumption. As a human, you need calories to power your daily life. But if you have enough calories, air, and water, you can survive everywhere, develop, and figure out the small and big problems. If you’re powered … Read more

Top 7 Free LLM Books (100% Trustworthy Links)

I spent the last couple of hours scouring the web for free LLM books that are not trash, scam, or outright malicious links. This curated list is the proud result. Have fun reading! πŸ₯ΈπŸ‘‡ What Is ChatGPT Doing … and Why Does It Work? by Stephen Wolfram πŸ“– Description: “Nobody expected thisβ€”not even its creators: … Read more

AI Weather Model BEATS Meteorologists – Higher Accuracy But 10,000x Faster!

Huawei’s Pangu-Weather AI model represents a significant advancement in weather forecasting. This model is the first AI prediction model to outperform traditional numerical weather forecast methods in terms of accuracy and speed. It processes data 10,000 times faster than conventional methods, reducing the global weather prediction time to just seconds. Note that this is not … Read more

Prompt Engineering with Llama 2 (Full Course)

πŸ’‘ This Llama 2 Prompt Engineering course helps you stay on the right side of change. Our course is meticulously designed to provide you with hands-on experience through genuine projects. πŸ”— Prompt Engineering with Llama 2: Four Practical Projects using Python, Langchain, and Pinecone You’ll delve into practical applications such as book PDF querying, payroll auditing, and … Read more

Diving Deep into ‘Deep Learning’ – An 18-Video Guide by Ian Goodfellow and Experts

Welcome to the ultimate video guide on the groundbreaking book “Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville! Why “Deep Learning” the book? It’s the definitive textbook in the field, “Deep Learning” covers a comprehensive range of topics, from the foundational concepts to the advanced techniques driving the latest innovations in artificial intelligence. … Read more

10-Step Learning Path: From Python Beginner to Advanced AI Coder on the Finxter Academy

πŸ§‘β€πŸ’» 10 Steps Learning Path: Do you want to learn Python but are unsure where to start? I’ve curated an optimal learning path, taking you from a complete beginner to an advanced Python programmer using Finxter Academy courses with downloadable PDF certificates. All courses can be freely accessed by Finxter Premium Members (no restrictions). Level … Read more

Llama vs Llama 2 – Still No Sign of Saturation!

Llama 2 is the next generation of our open-source large language model. It is available for free for research and commercial use. Inside the Llama 2 model, you’ll find pretrained and fine-tuned language models like Llama Chat and Code Llama. These models range from 7B to 70B parameters and have been trained on 2 trillion … Read more

How to Create a Massive OpenAI Embeddings CSV File for Search – From 100s of Wikipedia Articles

In this guide, let’s delve into preparing a dataset of Wikipedia articles for search, utilizing the OpenAI API. The process involves In case you need a quick refresher on OpenAI embeddings, feel free to read through our Finxter article here: πŸ‘‡ πŸ’‘ Recommended: What Are Embeddings in OpenAI? Prerequisites Before starting, ensure that you have … Read more

Python vs Go – Which Language Should You Choose in 2024

Both Python and Go are extremely relevant today. Both languages are widely used. Golang fans argue that people flock from Python to the newer and faster language Golang, also known as Go. Is this true? Not really. See this search volume comparison from Google Trends: πŸ‘‡ Go is a much newer language than Python, released … Read more

Transformer vs Autoencoder: Decoding Machine Learning Techniques

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

Transformer vs RNN: Women in Red Dresses (Attention Is All They Need?)

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