AI/ML

Data matters; infrastructure matters more

For a long time, each ML model operated in one data mode – text (translation, language modeling), image (object detection, image classification), or audio (speech recognition).

There are plenty of jobs, but finding a place where you're happy is as hard as ever.

and just like that - poof! - we scammed you into thinking this shit was cool

…

Visual Instruction Tuning

Llama 2 Everywhere (L2E). Contribute to trholding/llama2.c development by creating an account on GitHub.

Create comics, manga and webtoon with an AI in minutes.

Guillaume Cabanac Last week, an environmental journal published a paper on the use of renewable energy in cleaning up contaminated land. To read it, you would have to pay 40 euros. But you still wo…

Finetune llama2-70b and codellama on MacBook Air without quantization - GitHub - okuvshynov/slowllama: Finetune llama2-70b and codellama on MacBook Air without quantization

Hey, Computer, Make Me a Font. Contribute to SerCeMan/fontogen development by creating an account on GitHub.

This is a story of my journey learning to build generative ML models from scratch and teaching a computer to create fonts in the process.

It's a useful feature - but a problem for the ecosystem

This post walks through how you could incorporate a local LLM using Ollama in Obsidian, or potentially any note taking tool.

If Communication is Oxygen, and Prompt hacking is essentially communication, then… 1: Communication is Oxygen At Automattic, we like to say that communication is the oxygen of a distributed company. Why is that exactly? For remote work to work, you have to provide sufficient context so your coworkers are on the same page. They cannotContinue reading "Prompt hacking is Oxygen"

‘Champagne for my real friends, real pain for my sham friends’ is clever. Let’s find more phrases like that with NLP.

Colab : https://drp.li/W5n1F Model Page: https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca My Links: Twitter - https://twitter.com/Sam_Witteveen Linkedin - https://www.linkedin.com/in/samwitteveen/ Github: https://github.com/samwit/langchain-tutorials https://github.com/samwit/llm-tutorials 00:00 Intro 00:17 MistralOrca 7B on Hugging Face 01:48 Code Time 02:04 ChatML 03:02 Code Generation 03:20 Instruction Answering 04:30 The Strength of the System Prompt 05:50 Succint Output 06:43 Story Telling 07:20 GSM8k

To be clear right from the outset: if you have to use generative models to keep your job or otherwise have no choice in the matter, then obviously you aren’t being a dick.

Colab: https://drp.li/gyYpV My Links: Twitter - https://twitter.com/Sam_Witteveen Linkedin - https://www.linkedin.com/in/samwitteveen/ Github: https://github.com/samwit/langchain-tutorials https://github.com/samwit/llm-tutorials 00:00 Intro 00:52 Parent Document Retriever Diagram 04:56 Code time #langchain #openai #llm

A modern representation of the commonplace book. Contribute to bramses/commonplace-bot development by creating an account on GitHub.

Zapier today announced the launch of Canvas, a new tool that aims to help its users plan and diagram their business-critical processes -- with a fair bit

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Web scraping using ChatGPT: extract data from websites using code. ChatGPT is a powerful tool for web scraping. Techniques include using Selenium and Beautiful Soup. Get started now!

How does LoRA work? Low-Rank Adaptation for Parameter-Efficient LLM Finetuning explained. Works for any other neural network as well, not just for LLMs. 📜 „Lora: Low-rank adaptation of large language models“ Hu, E.J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L. and Chen, W., 2021. https://arxiv.org/abs/2106.09685 📚 https://sebastianraschka.com/blog/2023/llm-finetuning-lora.html 📽️ LoRA implementation: https://youtu.be/iYr1xZn26R8 Thanks to our Patrons who support us in Tier 2, 3, 4: 🙏 Dres. Trost GbR, Siltax, Vignesh Valliappan, Mutual Information, Kshitij Outline: 00:00 LoRA explained 00:59 Why finetuning LLMs is costly 01:44 How LoRA works 03:45 Low-rank adaptation 06:14 LoRA vs other approaches ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀ 🔥 Optionally, pay us a coffee to help with our Coffee Bean production! ☕ Patreon: https://www.patreon.com/AICoffeeBreak Ko-fi: https://ko-fi.com/aicoffeebreak ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀ 🔗 Links: AICoffeeBreakQuiz: https://www.youtube.com/c/AICoffeeBreak/community Twitter: https://twitter.com/AICoffeeBreak Reddit: https://www.reddit.com/r/AICoffeeBreak/ YouTube: https://www.youtube.com/AICoffeeBreak #AICoffeeBreak #MsCoffeeBean #MachineLearning #AI #research​ Music 🎵 : Meadows - Ramzoid Video editing: Nils Trost

An online research report on causality for machine learning by Cloudera Fast Forward.