A new Apple research paper is taking the world by storm: LLM in a flash. ⚡ The ideas is simple: Making large language models (LLMs) work better on computers that don’t have a lot of memory. 👉 If you’re a human reader, chances are you’re reading this on such a computer or smartphone. If you’re … Read more
Large Language Models (LLMs) can sometimes feel like alien technology. In other words, we don’t fully understand how they work or what they’re truly capable of. It’s akin to stone-age people trying to use advanced alien technology, occasionally causing it to spark, leaving us in awe of its magical capabilities. Through billions of trials and … Read more
What Is Mixtral 8x7B? Mixtral 8x7B is a cutting-edge language model developed by Mistral AI. It outperforms the Llama 2 70B model on various benchmarks, while being six times faster. Notably, it can speak multiple languages and is a skilled coder. Plus it can manage a sequence length (context window) of 32,000 tokens. How Fast … Read more
Why Create a QA Database? A good question often opens up new perspectives and new ways of thinking. But that’s not why I had to create a Question-Answering database. Question-Answering (QA) databases play an important role in researching and developing large language models (LLMs). These databases have two primary applications: Traditionally, QA databases can be … Read more
What Is Amazon CodeWhisperer? Amazon CodeWhisperer is a machine learning-powered coding assistant that provides real-time code recommendations and suggestions. As you write code, CodeWhisperer generates contextually relevant suggestions based on the existing code and comments, ranging from single lines to complete functions. It can scan your code for security issues, enhancing the overall quality and … Read more
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
Noam Shazeer, the CEO and cofounder of Character.ai, has worked for Google for almost 20 years. If you work for Google, you’ll quickly learn about the challenges of scaling things to billions of users. AI model architecture, distributed algorithms, and quantization — the most important aspect of accelerating AI was to scale it. Naturally, many … Read more
In a remarkable feat of technology and science, Google DeepMind’s AI system, GNoME, has discovered over 2.2 million new crystal materials, including 380,000 that are considered stable and potentially useful for future technologies. 🔗 Image credits This discovery represents an advancement equivalent to nearly 800 years’ worth of knowledge in material science. With such a … Read more
💡 Langchain is an open-source toolkit for building language model applications. It’s designed to make it easier to integrate language models into your AI apps, giving you a set of tools and APIs for this purpose. Langchain is not a language model itself but a framework for using language models in development projects. Anthropic’s Claude … Read more
How do you copy GPT-4 without actually copying the model weights? In this article, you’ll learn how! 💡 Researchers from UC Berkeley have unveiled Starling-7B, an innovative large language model (LLM) trained using Reinforcement Learning from AI Feedback (RLAIF), as opposed to the Reinforcement Learning from Human Feedback (RLHF) approach used by many competitors. Starling-7B … Read more
“LangChain” is like a tool for making computer programs that can understand and use language just like we do when we talk or write. Imagine you have a robot friend who can read books, chat with you, and even help you write stories or do homework. 🤖 Wouldn’t it be great if you couldmake such … Read more
There are many routes to making money with ChatGPT as a prompt engineer. Let’s examine three! The Ugly Route #1 – Create Massive Amounts of Garbage Content 🧌 The obvious way is to use it to create massive amounts of content. As a Python prompt engineer, you can create a pipeline that crawls webpages, passes … Read more