In a game-changing development in robotics, Google DeepMind’s new artificial intelligence model, RT-2 (Robotics Transformer 2), seamlessly combines vision, language, and action to help robots understand and perform tasks with greater adaptability. The RT-2 is a Vision-Language-Action (VLA) model, unprecedented in its capacity to integrate text and images from the internet and use the acquired … Read more
With the unexpected release of its advanced language model, LLaMA 2, Meta has opened up new avenues for commercial and research applications. Unlike its predecessor, this second iteration of the model is (primarily) free and open-source. 🧑💻 Recommended: Llama 2: How Meta’s Free Open-Source LLM Beats GPT-4! The source code and data that forms the … Read more
I tried a few helpful applications of Google Bards Image Recognition capabilities for coders. I don’t know about you but I often see beautiful plots (e.g., in research papers or data science reports) and wonder how I could recreate them. Well, Google Bard to the rescue! ✅ Reverse Engineer Exponential Plot in 2D First, let’s … Read more
There has been a lot of drama on Twitter about the new Stanford UC Berkely collab paper titled “How Is ChatGPT’s Behavior Changing over Time?” (source) The paper’s authors selectively provide examples where newer versions of GPT-4 seem to perform “worse” and have “formatting mistakes” than older versions. The first evaluation they provide is the … Read more
Set stream=True when calling the chat completions or completions endpoints to stream completions. This returns an object that streams back the response as data-only server-sent events. Streaming completion is an essential functionality offered by OpenAI, particularly useful in the implementation of real-time applications like live text generation or interactive conversational bots. Traditionally, this feature has … Read more
Meta (formerly Facebook) has released Llama 2, a new large language model (LLM) that is trained on 40% more training data and has twice the context length, compared to its predecessor Llama. Llama 2 is open-source so researchers and hobbyist can build their own applications on top of it. Llama 2 is trained on a … Read more
What Is Finxter? Google Bard’s Reply 👇 Here’s the reply from Google Bard: 👇 Finxter is an online platform that provides educational resources for computer science and coding. Their primary goal is to boost the collective intelligence in the area of computer science. Among their users are beginner coders, ambitious computer science students, and professional … Read more
Consider the following screenshot of a code snippet: Let’s say I want to extract the code from the image. I don’t want to type it out. What can I do? I just discovered that Google Bard has sufficient image recognition skills that you can upload images and ask it to extract the code from the … Read more
The paper “LongNet: Scaling Transformers to 1,000,000,000 tokens” presents a machine learning breakthrough, particularly in handling and analyzing large amounts of text data. Simply put, this paper is about a new model called LongNet that can understand and analyze really long strings of text – up to 1 billion words or phrases, called “tokens,” at … Read more
LLM is a command-line utility and Python library for interacting with large language models. In the latest release (v0.5), it offers support for self-hosted language models through plugins. Installation LLM can be installed using pip, pipx, or Homebrew. The syntax for each is as follows: Key Features You can see the possible models by running … Read more
The new Claude 2 model from AI research company Anthropic has proved insane new capabilities. In this quick article, I’ll give you a short and concise overview of what you need to know. Claude 2 Overview Anthropic’s latest prodigy, Claude 2, is making waves. This AI language model, part of the Claude series, is a … Read more
I just read one of the most influential papers titled “Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm” by Gwern Branwen, Connor Leahy, and Alexander Turner that first introduced prompt programming, a predecessor of today’s multi-six-figure skill prompt engineering. This short excursion in prompting history will be valuable for improving your prompting skills … Read more