Since signal does not merge Pull Request on signal proxy, I have done a small bash script that fixes the last issue on nginx.
https://t.co/Ta32cvYr4M
#signal#privacy
NOTE: read the entire post before commenting.
The new xAI video/image API is extremely fast, very cheap, and produces high-quality video. I built an app using the xAI Video API to create newscasts about, xAI, SpaceX, Starlink, Neuralink, X, Grok.
Step 1: Grok writes a newscast script from stories gathered around the web.
TODO: Notice the inconsistencies in the video. Needs cross-references with the current date.
Step 2: Use Grok Imagine Video to generate ~15-second video clips for each segment. Chain these segments by feeding the last frame of each video as the input for the next segment.
TODO: Notice in the video that the quality degrades over time. Use the api to upscale each previous frame.
Step 3: Export all segments as a single concatenated video.
TODO: Notice speaking errors. Split segments into short clips so you can fix them with the video API.
AMSAT is offering a free digital copy of "Getting Started with Amateur Satellites" with membership. Join or renew your AMSAT membership at https://t.co/s8BwEbCxC7 and you'll receive a link to download the newest version of "Getting Started" in your confirmation email.
Stop paying $$$ for LLM Bootcamps. 🛑
The official code for the O'Reilly book "Hands-On Large Language Models" is FREE on GitHub.
It covers the entire lifecycle of an LLM application.
Chapter 1: Introduction to Language Models
Chapter 2: Tokens and Embeddings
Chapter 3: Looking Inside Transformer LLMs
Chapter 4: Text Classification
Chapter 5: Text Clustering and Topic Modeling
Chapter 6: Prompt Engineering
Chapter 7: Advanced Text Generation Techniques and Tools
Chapter 8: Semantic Search and Retrieval-Augmented Generation
Chapter 9: Multimodal Large Language Models
Chapter 10: Creating Text Embedding Models
Chapter 11: Fine-tuning Representation Models for Classification
Chapter 12: Fine-tuning Generation Models
I will put the repo link in the comments.
Fine-tuning turns a general LLM into a reliable specialist for your particular domain and tasks.
And in this course, Tatev teaches you how to fine-tune your LLMs.
You'll learn what fine-tuning means, different methods, how to work with massive models on your home workstation, and more.
https://t.co/cEPkYwJyo7
I have done a small-fix for exo. Since noob users on ubuntu have the problem of blocking pip3 command,
because ubuntu wants a python virtual env. Using this fork it fixes it:
https://t.co/N5rS4N74vr